Bonjour,

Voici votre rapport de veille pour cette semaine.

Fréquence : Hebdomadaire.

Sources : Banques de données probantes, quotidiens et médias sociaux. 

Questions, ajouts et commentaires : sebastien.champagne.chum@ssss.gouv.qc.ca

 

Bonne lecture!

Au plaisir de collaborer,

 

Sébastien Champagne, M.S.I.

Bibliothécaire

Bibliothèque du CHUM

 

 

Contexte hospitalier

Survival prediction in intrahepatic cholangiocarcinoma: A proof of concept study using artificial intelligence for risk assessment

Author Names: Muller L.,Mahringer-Kunz A.,Gairing S.J.,Foerster F.,Weinmann A.,Bartsch F.,Heuft L.-K.,Baumgart J.,Duber C.,Hahn F.,Kloeckner R. Database Source: Embase Journal Title: Journal of Clinical Medicine,Journal of Clinical Medicine Article Title: Survival prediction in intrahepatic cholangiocarcinoma: A proof of concept …

Accéder au contenu

Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms

Author Names: Goto S.,Mahara K.,Beussink-Nelson L.,Ikura H.,Katsumata Y.,Endo J.,Gaggin H.K.,Shah S.J.,Itabashi Y.,MacRae C.A.,Deo R.C. Database Source: Embase Journal Title: Nature communications Article Title: Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms Year: 2021 …

Accéder au contenu

A Pragmatic Machine Learning Model to Predict Carbapenem Resistance

Author Names: McGuire R.J.,Yu S.C.,Payne P.R.O.,Lai A.M.,Vazquez-Guillamet M.C.,Kollef M.H.,Michelson A.P. Database Source: Embase Journal Title: Antimicrobial agents and chemotherapy Article Title: A Pragmatic Machine Learning Model to Predict Carbapenem Resistance Year: 2021 Issue: Volume: Abstract: Infection caused …

Accéder au contenu

Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan

Author Names: Nakagami G.,Yokota S.,Kitamura A.,Takahashi T.,Morita K.,Noguchi H.,Ohe K.,Sanada H. Database Source: Embase Journal Title: International journal of nursing studies Article Title: Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a …

Accéder au contenu

Machine learning approaches to predict intraoperative transfusion

Author Names: Zapf M.,Fabbri D.,Wanderer J.P. Database Source: Embase Journal Title: Anesthesia and Analgesia Article Title: Machine learning approaches to predict intraoperative transfusion Year: 2021 Issue: 3 SUPPL Volume: 132 Abstract: Background: Unnecessary laboratory tests are a source of significant cost and are a burden to health systems. Obtaining a …

Accéder au contenu

Development of a Method for Clinical Evaluation of Artificial Intelligence-Based Digital Wound Assessment Tools

JAMA Netw Open. 2021 May 3;4(5):e217234. doi: 10.1001/jamanetworkopen.2021.7234.ABSTRACTIMPORTANCE: Accurate assessment of wound area and percentage of granulation tissue (PGT) are important for optimizing wound care and healing outcomes. Artificial intelligence (AI)-based wound assessment tools have the potential to improve the accuracy and consistency of wound area and PGT measurement, …

Accéder au contenu

Artificial intelligence for thoracic radiology: from research tool to clinical practice

Eur Respir J. 2021 May 20;57(5):2100625. doi: 10.1183/13993003.00625-2021. Print 2021 May.NO ABSTRACTPMID:34016606 | DOI:10.1183/13993003.00625-2021

Accéder au contenu

Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review

Comput Struct Biotechnol J. 2021;19:2833-2850. doi: 10.1016/j.csbj.2021.05.010. Epub 2021 May 7.ABSTRACTThe worldwide health crisis caused by the SARS-Cov-2 virus has resulted in>3 million deaths so far. Improving early screening, diagnosis and prognosis of the disease are critical steps in assisting healthcare professionals to save lives during this pandemic. Since …

Accéder au contenu

Health Care Equity in the Use of Advanced Analytics and Artificial Intelligence Technologies in Primary Care

J Gen Intern Med. 2021 May 23. doi: 10.1007/s11606-021-06846-x. Online ahead of print.ABSTRACTThe integration of advanced analytics and artificial intelligence (AI) technologies into the practice of medicine holds much promise. Yet, the opportunity to leverage these tools carries with it an equal responsibility to ensure that principles of …

Accéder au contenu

Artificial intelligence models derived from 2D transperineal ultrasound images in the clinical diagnosis of stress urinary incontinence

Int Urogynecol J. 2021 May 24. doi: 10.1007/s00192-021-04859-y. Online ahead of print.ABSTRACTINTRODUCTION AND HYPOTHESIS: The aim of the study was to develop artificial intelligence (AI) algorithms using 2D transperineal ultrasound (TPUS) static images to simplify the clinical process of diagnosing stress urinary incontinence (SUI) in practice.METHODS: The …

Accéder au contenu

Batch Enrollment for an Artificial Intelligence-Guided Intervention to Lower Neurologic Events in Patients with Undiagnosed Atrial Fibrillation (BEAGLE): Rationale and design of a digital clinical trial

Am Heart J. 2021 May 22:S0002-8703(21)00135-6. doi: 10.1016/j.ahj.2021.05.006. Online ahead of print.ABSTRACTBACKGROUND: Clinical trials are a fundamental tool to evaluate medical interventions but are time-consuming and resource-intensive.OBJECTIVES: To build infrastructure for digital trials to improve efficiency and generalizability and test it using a study to validate …

Accéder au contenu

Gestion

Economic and utilization outcomes of medication management at a large Medicaid plan with disease management pharmacists using a novel artificial intelligence platform from 2018 to 2019: a retrospective observational study using regression methods

J Manag Care Spec Pharm. 2021 May 25:1-11. doi: 10.18553/jmcp.2021.21036. Online ahead of print.ABSTRACTBACKGROUND: Medication therapy management (MTM) and comprehensive medication management (CMM) have been practiced by clinical pharmacists as a predominantly manual activity with interventions documented in a record-keeping system. Program evaluations, largely based on estimations of projected savings …

Accéder au contenu

Blockchain, health disparities and global health

Author Names: Vervoort D.,Guetter C.R.,Peters A.W. Database Source: Embase Journal Title: BMJ Innovations Article Title: Blockchain, health disparities and global health Year: 2021 Issue: 2 Volume: 7 Abstract: Health disparities remain vast around the world and are perpetuated by error-prone information technology systems, administrative inefficiencies and wasteful global health …

Accéder au contenu

Leveraging data and AI to deliver on the promise of digital health

Author Names: Aerts A.,Bogdan-Martin D. Database Source: Embase Journal Title: International Journal of Medical Informatics,International Journal of Medical Informatics Article Title: Leveraging data and AI to deliver on the promise of digital health Year: 2021 Issue: Volume: 150 Abstract: Rising rates of NCDs threaten fragile healthcare systems in low- and …

Accéder au contenu

Helping students of all ages flourish in the era of artificial intelligence

A new cross-disciplinary research initiative at MIT aims to promote the understanding and use of AI across all segments of society. The effort, called Responsible AI for Social Empowerment and Education (RAISE), will develop new teaching approaches and tools to engage learners in settings from preK-12 to the workforce. “People …

Accéder au contenu

Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development

Pharmacology. 2021;106(5-6):244-253. doi: 10.1159/000515908. Epub 2021 Apr 28.ABSTRACTINTRODUCTION: The SARS-CoV-2 pandemic has led to one of the most critical and boundless waves of publications in the history of modern science. The necessity to find and pursue relevant information and quantify its quality is broadly acknowledged. Modern information retrieval techniques combined with …

Accéder au contenu

Enseignement et recherche

Application of Design of Experiments Approach-Driven Artificial Intelligence and Machine Learning for Systematic Optimization of Reverse Phase High Performance Liquid Chromatography Method to Analyze Simultaneously Two Drugs (Cyclosporin A and Etodolac) in Solution, Human Plasma, Nanocapsules, and Emulsions

AAPS PharmSciTech. 2021 May 13;22(4):155. doi: 10.1208/s12249-021-02026-6.ABSTRACTThe objectives of current investigation are (1) to find out wavelength of maximum absorbance (λmax) for combined cyclosporin A and etodolac solution followed by selection of mobile phase suitable for the RP-HPLC method, (2) to define analytical target profile and critical analytical attributes (CAAs) …

Accéder au contenu

Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations

Artificial Intelligence in Medicine, Volume 116, 2021 Jun, Article 102078 | Karimi, Davood; Warfield, Simon K.; Gholipour, AliHighlights•We critically study and analyze transfer learning in medical image segmentation. •We show that model weights change little from random initialization during training. •We show viability of models with random encoders, challenging the es...

Accéder au contenu

Evaluating diagnostic content of AI-generated radiology reports of chest X-rays

Artificial Intelligence in Medicine, Volume 116, 2021 Jun, Article 102075 | Babar, Zaheer; van Laarhoven, Twan; Zanzotto, Fabio Massimo;...Highlights•Conventional quality metrics for natural language processing methods like the popular BLEU score, provide little information about the quality of the diagnostic content of AI-generated radiology reports. •BLEU scores of generated report...

Accéder au contenu

Is artificial intelligence really a new topic in medical education?

Croat Med J. 2021 Apr 30;62(2):200. doi: 10.3325/cmj.2021.62.200.NO ABSTRACTPMID:33938662 | PMC:PMC8107993 | DOI:10.3325/cmj.2021.62.200

Accéder au contenu

Artificial Intelligence in Medical Education

Author Names: Maini B.,Maini E. Database Source: Embase Journal Title: Indian pediatrics Article Title: Artificial Intelligence in Medical Education Year: 2021 Issue: 5 Volume: 58 Abstract:

Accéder au contenu

Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease

Author Names: Nishi T.,Yamashita R.,Imura S.,Tateishi K.,Kitahara H.,Kobayashi Y.,Yock P.G.,Fitzgerald P.J.,Honda Y. Database Source: Embase Journal Title: International Journal of Cardiology,International Journal of Cardiology Article Title: Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease Year: 2021 …

Accéder au contenu

Enjeux éthiques

Commentary: the ethical challenges of machine learning in psychiatry: a focus on data, diagnosis, and treatment

Author Names: Barron D.S. Database Source: Embase Journal Title: Psychological medicine Article Title: Commentary: the ethical challenges of machine learning in psychiatry: a focus on data, diagnosis, and treatment Year: 2021 Issue: Volume: Abstract: The clinical interview is the psychiatrist's data gathering procedure. However, the clinical interview is not …

Accéder au contenu

Remote digital monitoring of medication intake: methodological, medical, ethical and legal reflections

Author Names: Van Biesen W.,Decruyenaere J.,Sideri K.,Cockbain J.,Sterckx S. Database Source: Embase Journal Title: Acta Clinica Belgica: International Journal of Clinical and Laboratory Medicine,Acta Clinica Belgica Article Title: Remote digital monitoring of medication intake: methodological, medical, ethical and legal reflections Year: 2021 Issue: 3 Volume: 76 Abstract: In 2017, …

Accéder au contenu

What makes AI 'intelligent' and 'caring'? Exploring affect and relationality across three sites of intelligence and care

Author Names: De Togni G.,Erikainen S.,Chan S.,Cunningham-Burley S. Database Source: Embase Journal Title: Social Science and Medicine,Social Science and Medicine Article Title: What makes AI 'intelligent' and 'caring'? Exploring affect and relationality across three sites of intelligence and care Year: 2021 Issue: Volume: 277 Abstract: This paper scrutinises …

Accéder au contenu

A Proposed Framework on Integrating Health Equity and Racial Justice into the Artificial Intelligence Development Lifecycle.

Journal of Health Care for the Poor & Underserved; 05/02/2021The COVID-19 pandemic has created multiple opportunities to deploy artificial intelligence (AI)-driven tools and applied interventions to understand, mitigate, and manage the pandemic and its consequences. The disproportionate impact of COVID-19 on racial/ethnic minority and socially disadvantaged populations underscores …

Accéder au contenu

Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions

Inf Syst Front. 2021 May 15:1-16. doi: 10.1007/s10796-021-10142-8. Online ahead of print.ABSTRACTWith the unparallel advance of leading-edge technologies like artificial intelligence (AI), the healthcare systems are transforming and shifting for more digital health. In recent years, scientific productions have reached unprecedented levels. However, a holistic view of …

Accéder au contenu

Exploring the phenomenon and ethical issues of AI paternalism in health apps

Bioethics. 2021 May 24. doi: 10.1111/bioe.12886. Online ahead of print.ABSTRACTHealth apps, including consumer-oriented fitness apps, have two functions. They are supposed to monitor and promote users' health, the latter by way of being an instance of persuasive technology. The use of artificial intelligence (AI) allows for AI health apps, i.e., …

Accéder au contenu

IA en oncologie

Exploration of machine learning techniques to examine the journey to neuroendocrine tumor diagnosis with real-world data

Future Oncol. 2021 May 19. doi: 10.2217/fon-2020-1254. Online ahead of print.ABSTRACTAim: Machine learning reveals pathways to neuroendocrine tumor (NET) diagnosis. Patients & methods: Patients with NET and age-/gender-matched non-NET controls were retrospectively selected from MarketScan claims. Predictors (e.g., procedures, symptoms, conditions for which NET is misdiagnosed) were examined …

Accéder au contenu

HEAL: an automated deep learning framework for cancer histopathology image analysis

Bioinformatics. 2021 May 19:btab380. doi: 10.1093/bioinformatics/btab380. Online ahead of print.ABSTRACTMOTIVATION: Digital pathology supports analysis of histopathological images using deep learning methods at a large-scale. However, applications of deep learning in this area have been limited by the complexities of configuration of the computational environment and of hyperparameter optimization, which …

Accéder au contenu

Dual-scale categorization based deep learning to evaluate programmed cell death ligand 1 expression in non-small cell lung cancer

Medicine (Baltimore). 2021 May 21;100(20):e25994. doi: 10.1097/MD.0000000000025994.ABSTRACTIn precision oncology, immune check point blockade therapy has quickly emerged as novel strategy by its efficacy, where programmed death ligand 1 (PD-L1) expression is used as a clinically validated predictive biomarker of response for the therapy. Automating pathological image analysis and accelerating pathology evaluation …

Accéder au contenu

Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning-A feasibility study

PLoS One. 2021 May 20;16(5):e0251899. doi: 10.1371/journal.pone.0251899. eCollection 2021.ABSTRACTComputer aided diagnosis (CAD) of biomedical images assists physicians for a fast facilitated tissue characterization. A scheme based on combining fuzzy logic (FL) and deep learning (DL) for automatic semantic segmentation (SS) of tumors in breast ultrasound (BUS) images is proposed. The …

Accéder au contenu

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

Nat Commun. 2021 May 20;12(1):2963. doi: 10.1038/s41467-021-23235-4.ABSTRACTCancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Our deep learning CVD risk prediction model, …

Accéder au contenu

Robot-assisted laparoscopic hysterectomy for endometrial cancer in a patient with Herlyn-Werner-Wunderlich syndrome

BMJ Case Rep. 2021 May 19;14(5):e240001. doi: 10.1136/bcr-2020-240001.ABSTRACTHerlyn-Werner-Wunderlich syndrome, a rare Mullerian duct anomaly, includes a triad of uterine didelphys, obstructed haemivagina and ipsilateral renal agenesis. A 58-year-old woman with Herlyn-Werner-Wunderlich syndrome, reported of recurrent genital bleeding for 9 years, was finally diagnosed with endometrial cancer. She had a history …

Accéder au contenu

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

Eur Radiol. 2021 May 21. doi: 10.1007/s00330-021-08009-2. Online ahead of print.ABSTRACTOBJECTIVES: We aimed to assess the performance of radiomics and machine learning (ML) for classification of non-cystic benign and malignant breast lesions on ultrasound images, compare ML's accuracy with that of a breast radiologist, and verify if …

Accéder au contenu

Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study

Eur J Nucl Med Mol Imaging. 2021 May 21. doi: 10.1007/s00259-021-05381-5. Online ahead of print.ABSTRACTPURPOSE: A balance between preserving urinary continence as well as sexual potency and achieving negative surgical margins is of clinical relevance while implementary difficulty. Accurate detection of extracapsular extension (ECE) of prostate cancer (PCa) …

Accéder au contenu

Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches

Brief Bioinform. 2021 May 20;22(3):bbaa188. doi: 10.1093/bib/bbaa188.ABSTRACTThe multi-omics molecular characterization of cancer opened a new horizon for our understanding of cancer biology and therapeutic strategies. However, a tumor biopsy comprises diverse types of cells limited not only to cancerous cells but also to tumor microenvironmental cells and adjacent normal …

Accéder au contenu

Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

Cancer Cell Int. 2021 May 21;21(1):270. doi: 10.1186/s12935-021-01981-1.ABSTRACTArtificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive abilities and to address difficult healthcare challenges including complex biological abnormalities like cancer. The exponential growth of AI in the last decade is evidenced to be the potential …

Accéder au contenu

An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden features

Oral Oncol. 2021 May 20;118:105335. doi: 10.1016/j.oraloncology.2021.105335. Online ahead of print.ABSTRACTOBJECTIVES: We aimed to build a survival system by combining a highly-accurate machine learning (ML) model with explainable artificial intelligence (AI) techniques to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma (NPC) patients using magnetic resonance imaging (MRI)-based tumor …

Accéder au contenu

Magnetic resonance imaging-based artificial intelligence model in rectal cancer

World J Gastroenterol. 2021 May 14;27(18):2122-2130. doi: 10.3748/wjg.v27.i18.2122.ABSTRACTRectal magnetic resonance imaging (MRI) is the preferred method for the diagnosis of rectal cancer as recommended by the guidelines. Rectal MRI can accurately evaluate the tumor location, tumor stage, invasion depth, extramural vascular invasion, and circumferential resection margin. We summarize …

Accéder au contenu

A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases

Front Oncol. 2021 May 5;11:638197. doi: 10.3389/fonc.2021.638197. eCollection 2021.ABSTRACTPURPOSE: While artificial intelligence has shown great promise in organs-at-risk (OARs) auto segmentation for head and neck cancer (HNC) radiotherapy, to reach the level of clinical acceptance of this technology in real-world routine practice is still a challenge. The purpose of this study was …

Accéder au contenu

Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning

J Magn Reson Imaging. 2021 May 25. doi: 10.1002/jmri.27741. Online ahead of print.ABSTRACTBACKGROUND: Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to the brain and up to 50% of patients develop brain metastases (BMs). Detection of BMs on MRI is challenging with an inherent risk of missed diagnosis.…

Accéder au contenu

Improved perioperative outcomes and reduced inflammatory stress response in malignant robot-assisted colorectal resections: a retrospective cohort study of 298 patients

World J Surg Oncol. 2021 May 22;19(1):155. doi: 10.1186/s12957-021-02263-w.ABSTRACTBACKGROUND: Robot-assisted surgery is increasingly implemented for the resection of colorectal cancer, although the scientific evidence for adopting this technique is still limited. This study's main objective was to compare short-term complication rates, oncological outcomes, and the inflammatory stress …

Accéder au contenu

Entreprises

We are excited to present findings from our CRC-MAPS™ model at the Digestive Disease Week 2021 Meeting this weekend. Our data demonstrates the importance of clinical test performance and screening adherence on colorectal cancer outcomes #DDW2021 bwnews.pr/342Y69p

We are excited to present findings from our CRC-MAPS™ model at the Digestive Disease Week 2021 Meeting this weekend. Our data demonstrates the importance of clinical test performance and screening adherence on colorectal cancer outcomes #DDW2021 bwnews.pr/342Y69p

Accéder au contenu

We enjoyed getting deep into diabetes and our new Bigfoot Unity Diabetes Management System on this Diabetes Connections podcast with Stacey Simms. 🎧 Click below to check out her interview with Bigfoot CEO Jeffrey Brewer. #BelieveInBigfoot #BigfootBioMed https://t.co/Neg6myQx3h Quoted tweet from @DiabetesCxns: Fair to say that 5 years ago, no one expected Bigfoot to launch a pen system. What is Unity all about (and what happened to their closed loop system)? All the info in this week's podcast: bit.ly/DiabetesCxns381 #DSMA ##DOC #diabetes https://t.co/mbS9QgwokI

We enjoyed getting deep into diabetes and our new Bigfoot Unity Diabetes Management System on this Diabetes Connections podcast with Stacey Simms. 🎧 Click below to check out her interview with Bigfoot CEO Jeffrey Brewer. #BelieveInBigfoot #BigfootBioMed https://t.co/Neg6myQx3h Quoted tweet from @DiabetesCxns: Fair to say that 5 …

Accéder au contenu

Hear our Director of Social Impact, Claire Morris, talk about how we're using #tech to make #healthcare more affordable & accessible - even for people living in the most remote corners of #Rwanda. 20 May @ 2PM BT/ 3PM CET. Register via the link below. https://t.co/7fysGleJS1 Quoted tweet from @reachforchange_: Following @gitanjaliarao's keynote on May 20th we will highlight more inspiring examples of how tech can be an enabler for social impact, and we'll dig deeper into the role that businesses can have in catalysing tech solutions. Save the date 👉 addevent.com/event/qw6347268 https://t.co/VLAwJMS2CS

Hear our Director of Social Impact, Claire Morris, talk about how we're using #tech to make #healthcare more affordable & accessible - even for people living in the most remote corners of #Rwanda. 20 May @ 2PM BT/ 3PM CET. Register via the link below. https://t.co/7fysGleJS1 Quoted tweet …

Accéder au contenu

We're honored to be included in this AI-Enabled Diagnostic Imaging Market Report! manometcurrent.com/ai-enabled-dia…

We're honored to be included in this AI-Enabled Diagnostic Imaging Market Report! manometcurrent.com/ai-enabled-dia…

Accéder au contenu

Comprehensive Genomic and Transcriptomic Profiling of Pediatric Malignancies Using the Tempus xT Next-Generation Sequencing Assay to Identify Clinically Meaningful Alterations

ASCO Annual Meeting 2021, Tempus-authored — Background: Our understanding of the genomic makeup of childhood cancers has accelerated over the past decade largely due to next-generation sequencing (NGS) utilized to identify genetic drivers, aid diagnostics and risk stratification, and detect therapeutic targets. Here, we present the genomic and transcriptomic landscape of pediatric …

Accéder au contenu

Leveraging Machine Learning Technology to Efficiently Identify and Match Patients for Precision Oncology Clinical Trials

ASCO Annual Meeting 2021, Tempus-authored — Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients …

Accéder au contenu

Tempus wins breakthrough status for AI-based tool to detect atrial fibrillation

By Meg Bryant March 24, 2021 The U.S. FDA has granted breakthrough device designation to Tempus Inc. for its ECG Analysis Platform. Developed in collaboration with Geisinger, the artificial intelligence (AI)-powered platform helps clinicians identify patients at increased risk of developing atrial fibrillation (AF) or atrial flutter. AF – an irregular, …

Accéder au contenu

We have initiated IND-enabling studies for REC-163964 for the possible prevention of C. diff infections. REC-163964 is the first internally-discovered NCE development candidate identified by the Recursion OS and advanced to IND-enabling studies. prn.to/2Td03xH

We have initiated IND-enabling studies for REC-163964 for the possible prevention of C. diff infections. REC-163964 is the first internally-discovered NCE development candidate identified by the Recursion OS and advanced to IND-enabling studies. prn.to/2Td03xH

Accéder au contenu

When you build #virtualcare solutions with the #patientexperience at the forefront, you see higher engagement, better outcomes, and lower costs. In this interview, @AlanHSpiro shares tips on how to scale human-centric healthcare tools:

When you build #virtualcare solutions with the #patientexperience at the forefront, you see higher engagement, better outcomes, and lower costs. In this interview, @AlanHSpiro shares tips on how to scale human-centric healthcare tools:

Accéder au contenu

Meaningful care delivery is at the heart of everything we do. In celebration of our Command Center Appreciation Month, Sr. Nurse Navigator Luci Benson, RN, discusses her role and how she helps patients daily through #virtualcare. #PeoplePowerPager #NursesMonth

Meaningful care delivery is at the heart of everything we do. In celebration of our Command Center Appreciation Month, Sr. Nurse Navigator Luci Benson, RN, discusses her role and how she helps patients daily through #virtualcare. #PeoplePowerPager #NursesMonth

Accéder au contenu

"The cost and complexity of #hearingLoss treatment have become major barriers to getting help" @Bose have launch a first-of-its kind hearing aid, designed to be fitted and controlled without an audiologist rb.gy/cbbsub

"The cost and complexity of #hearingLoss treatment have become major barriers to getting help"@Bose have launch a first-of-its kind hearing aid, designed to be fitted and controlled without an audiologistrb.gy/cbbsub

Accéder au contenu

"The FDA today issued leapfrog guidance for nonclinical testing and study design related to implanted #BrainComputerInterface (#BCI) devices." Read More: rb.gy/da0htn

"The FDA today issued leapfrog guidance for nonclinical testing and study design related to implanted #BrainComputerInterface (#BCI) devices."Read More: rb.gy/da0htn

Accéder au contenu

A @Nature paper reports a neural interface that could enable people with paralysis to type faster than they could using other technologies by directly translating attempts at handwriting into text. nature.com/articles/d4158…

A @Nature paper reports a neural interface that could enable people with paralysis to type faster than they could using other technologies by directly translating attempts at handwriting into text.nature.com/articles/d4158…

Accéder au contenu

Stratégie québécoise de la recherche et de l’innovation 2022

Accéder au contenu

La lutte contre la pandémie pourrait-elle modifier notre microbiome? Les boursiers @FinlayLab @GilesVernick @EranElinav expliquent un article du programme Microbiome humain du CIFAR. @UBC @institutpasteur @WeizmannScience nytimes.com/2021/04/23/opi…

La lutte contre la pandémie pourrait-elle modifier notre microbiome? Les boursiers @FinlayLab @GilesVernick @EranElinav expliquent un article du programme Microbiome humain du CIFAR. @UBC @institutpasteur @WeizmannScience nytimes.com/2021/04/23/opi…

Accéder au contenu

Revue de presse

Osler Technology launches 'Netflix-styled' healthcare education app – Healthcare IT News Au

It is designed for students and healthcare professionals in acute care. ... The latest in healthcare education and training is seeing the use of artificial intelligence ... spun off its healthcare education platform iPC Health into a separate entity, ... Everything Google Announced Today: Android, AI, Holograms ...

Accéder au contenu

Oxford University partners with Oracle for COVID-19 variant identification

The Global Pathogen Analysis System sequences and analyses COVID-19 pathogen data in ... With the OCI-increased processing and machine learning capabilities, ... public health agencies, healthcare services, and diagnostic companies around the ... Get daily news updates from Healthcare IT News.

Accéder au contenu

Doctors fear Google skin check app will lead to ‘tsunami of overdiagnosis’

There are nearly 10bn Google searches for skin, nail and hair issues each year, prompting the tech giant to create a ‘dermatology assist tool’ Google’s entry into health diagnostics has alarmed health experts who fear a new artificial intelligence tool to identify skin conditions could lead to overdiagnosis, or …

Accéder au contenu

How AI can truly advance healthcare and research, and where it's gone wrong

Artificial intelligence and machine learning can be used to advance ... president of North America at Sensyne Health, which offers AI-based remote patient ... Healthcare IT News interviewed Baird to discuss the role of AI in healthcare ...

Accéder au contenu

How IT leaders are reimagining and repurposing technologies to handle new challenges

Video · Analytics · Artificial Intelligence · Cloud Computing · EHR ... In this newest installment in Healthcare IT News' feature story series, Health IT Lessons ... Andrew Buscemi, director of information technology at Holyoke Health ... Advancements in computer vision, radar, AI and machine learning are ...

Accéder au contenu

Événements IA et santé

DU Intelligence artificielle IA appliquée en santé - Ametys Campus ...

Domaine : Sciences, Technologies, Santé. Spécialité : Intelligence artificielle en santé ... Objectif général du DU : Promouvoir l'IA en Santé : Pour des meilleurs ...

Accéder au contenu

Pour obtenir les articles

 

L'accès au texte intégral pour les articles scientifiques est restreint selon les abonnements et les accès fournis par votre établissement.

Si vous êtes à l'intérieur du réseau CHUM :

  • Cliquez sur les liens fournis avec chaque référence pour vérifier éventuellement la disponibilité du texte intégral.
  • Sinon, vérifiez ensuite la disponibilité du journal dans notre liste de périodiques électroniques et naviguez par année/volume/numéro/pages pour localiser un article.
  • Quand un article n’est pas disponible, vous pouvez faire une demande de prêt entre bibliothèques ici : https://bibliothequeduchum.ca/sp/ajouts/forms/dem_documents.php . Des frais, peuvent s’appliquer pour certaines demandes. 

Si vous êtes dans un autre établissement et que vous n’arrivez pas à accéder au texte intégral d’un article à partir du lien donné dans ce portail, veuillez vous référer à la bibliothèque de votre institution en donnant la référence du document.


Avis de non-responsabilité

1. EXCLUSION DE GARANTIES ET LIMITATION DE RESPONSABILITÉS

Le contenu des veilles informationnelles ou stratégiques (ci-après appelée « Veilles ») est mis à votre disposition à titre informatif pour un usage personnel exclusif. Tout usage commercial du contenu des Veilles est strictement interdit.

Tous les éléments, articles, rapports ou toute autre source d’information figurant dans les Veilles, vous sont fournis «tels quels», sans garantie d’aucune sorte. Eu égard aux propos tenus dans les articles et les rapports sélectionnés pour les Veilles, le CHUM n’offre aucune garantie notamment d’exhaustivité, de fiabilité, d’actualité et d’exactitude.

Le CHUM ne pourra en aucun cas être tenu responsable envers quiconque de tout dommage quel qu’il soit, même ceux directs, encouru notamment des suites de toute réclamation, action ou poursuite découlant, même directement, de l’utilisation de ces Veilles.

2. RESPONSABILITÉ RELATIVE AUX LIENS

Les Veilles contiennent des liens vers des sites Web créés et mis à jour par des tierces parties. Ces liens sont fournis pour la commodité des utilisateurs seulement. Le CHUM n’endosse et ne garantit, ni explicitement ni implicitement, l’exactitude ou l’intégralité ni du contenu de ces hyperliens ni des opinions qui y sont exprimées.

Le CHUM n’assume aucune responsabilité à l’égard de ces sites Web externes.

3. PROPRIÉTÉ INTELLECTUELLE

Le CHUM prend tous les moyens raisonnables afin de respecter les droits de propriété intellectuelle afférents au contenu des Veilles et aux modalités du prêt entre bibliothèques, émises par l’Université de Montréal. Le contenu des Veilles, incluant la manière dont il est présenté, sont notamment protégés par la Loi sur le droit d’auteur (L.R.C. (1985), ch. C-42).

Le CHUM ne donne aucune garantie et ne fait aucune déclaration à l’effet que le contenu de ces veilles n’enfreint aucun droit d’une autre personne ou entité.

Les téléchargements et reproduction en un seul exemplaire, pour copie de sauvegarde de ces Veilles ou tirage sur papier ne sont autorisés que pour un usage privé et non commercial. Tout téléchargement, reproduction, édition, diffusion sur Internet ou l’utilisation à des fins commerciales ou publiques, la distribution, la publication sur un autre site ou sur quelque autre forme et toute autre utilisation est interdite à moins d’être faite dans le respect des règles de propriété intellectuelle applicables, et nécessitent notamment l’autorisation de l’auteur ou du créateur.

Pour obtenir cette autorisation à l’égard des Veilles, veuillez communiquer avec la Bibliothèque du CHUM, biblio.chum@ssss.gouv.qc.ca.