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

Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

Lancet Digit Health. 2021 May;3(5):e306-e316. doi: 10.1016/S2589-7500(21)00043-1.ABSTRACTBACKGROUND: Coronary artery calcium (CAC) score is a clinically validated marker of cardiovascular disease risk. We developed and validated a novel cardiovascular risk stratification system based on deep-learning-predicted CAC from retinal photographs.METHODS: We used 216 152 retinal photographs from five datasets …

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Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study

Lancet Digit Health. 2021 May;3(5):e317-e329. doi: 10.1016/S2589-7500(21)00055-8.ABSTRACTBACKGROUND: By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically significant risk of sight-threatening complications such as myopic macular degeneration. These are diagnoses that typically require specialist assessment or …

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Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy

Author Names: Kunze K.N.,Polce E.M.,Nwachukwu B.U.,Chahla J.,Nho S.J. Database Source: Embase Journal Title: Arthroscopy - Journal of Arthroscopic and Related Surgery,Arthroscopy - Journal of Arthroscopic and Related Surgery Article Title: Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting …

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Importance of Systematic Right Ventricular Assessment in Cardiac Resynchronization Therapy Candidates: A Machine Learning Approach

Author Names: Galli E.,Le Rolle V.,Smiseth O.A.,Duchenne J.,Aalen J.M.,Larsen C.K.,Sade E.A.,Hubert A.,Anilkumar S.,Penicka M.,Linde C.,Leclercq C.,Hernandez A.,Voigt J.-U.,Donal E. Database Source: Embase Journal Title: Journal of the American Society of Echocardiography,…

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Clinical performance of a machine-learning algorithm to predict intra-operative hypotension with noninvasive arterial pressure waveforms: A cohort study

Author Names: Wijnberge M.,van der Ster B.J.P.,Geerts B.F.,de Beer F.,Beurskens C.,Emal D.,Hollmann M.W.,Vlaar A.P.J.,Veelo D.P. Database Source: Embase Journal Title: European journal of anaesthesiology Article Title: Clinical performance of a machine-learning algorithm to predict intra-operative …

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A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment

Author Names: Zhu C.-Y.,Wang Y.-K.,Chen H.-P.,Gao K.-L.,Shu C.,Wang J.-C.,Yan L.-F.,Yang Y.-G.,Xie F.-Y.,Liu J. Database Source: Embase Journal Title: Frontiers in Medicine Article Title: A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases …

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Reporting guidelines for artificial intelligence in healthcare research

Clin Exp Ophthalmol. 2021 May 6. doi: 10.1111/ceo.13943. Online ahead of print.ABSTRACTReporting guidelines are structured tools developed using explicit methodology that specify the minimum information required by researchers when reporting a study. The use of AI reporting guidelines that address potential sources of bias specific to studies involving AI interventions has …

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Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

Nat Med. 2021 May 6. doi: 10.1038/s41591-021-01335-4. Online ahead of print.ABSTRACTWe have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-based, artificial intelligence (AI)-powered clinical decision support tool enables early diagnosis of low ejection fraction (EF), a condition that is underdiagnosed but treatable. …

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AI in colonoscopy and beyond: On the cusp of clinical implementation?

United European Gastroenterol J. 2021 May 7. doi: 10.1002/ueg2.12076. Online ahead of print.NO ABSTRACTPMID:33960666 | DOI:10.1002/ueg2.12076

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Gestion

Embracing AI When Your Industry Is in Flux | Thomas H. Davenport and Randy Bean

Our expert columnists offer opinion and analysis on important issues facing modern businesses and managers. More in this series What to Read Next One of the great challenges we have seen businesses face in recent years is how they approach data and analytics (and now artificial intelligence) when their industries …

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Enseignement et recherche

AI-facilitated health care requires education of clinicians

Author Names: Keane P.A.,Topol E.J. Database Source: Embase Journal Title: The Lancet,The Lancet Article Title: AI-facilitated health care requires education of clinicians Year: 2021 Issue: 10281 Volume: 397 Abstract:

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Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health care

Author Names: Sendak M.P.,Gao M.,Ratliff W.,Whalen K.,Nichols M.,Futoma J.,Balu S. Database Source: Embase Journal Title: Healthcare,Healthcare Article Title: Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health care Year: 2021 Issue: 3 Volume: 9 Abstract: There …

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Smartpathk: a platform for teaching glomerulopathies using machine learning

Author Names: Aldeman N.L.S.,de Sa Urtiga Aita K.M.,Machado V.P.,da Mata Sousa L.C.D.,Coelho A.G.B.,da Silva A.S.,da Silva Mendes A.P.,de Oliveira Neres F.J.,do Monte S.J.H. Database Source: Embase Journal Title: BMC …

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Enjeux éthiques

Mapping ethico-legal principles for the use of artificial intelligence in gastroenterology

J Gastroenterol Hepatol. 2021 May;36(5):1143-1148. doi: 10.1111/jgh.15521.ABSTRACTThe rapid development of artificial intelligence (AI) and digital health raise concerns about equitable access to innovative interventions, appropriate use of health data and privacy, inclusiveness, bias and discrimination, and even changes to the clinician-patient relationship. This article outlines a number of ethical …

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Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Author Names: Collins J.W.,Marcus H.J.,Ghazi A.,Sridhar A.,Hashimoto D.,Hager G.,Arezzo A.,Jannin P.,Maier-Hein L.,Marz K.,Valdastri P.,Mori K.,Elson D.,Giannarou S.,Slack M.,Hares L.,Beaulieu Y.,Levy J.,Laplante G.,Ramadorai A.,Jarc A.,Andrews B.,Garcia P.,…

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IA en oncologie

Improvement of image quality for pancreatic cancer using deep learning-generated virtual monochromatic images: Comparison with single-energy computed tomography

Phys Med. 2021 Apr 30;85:8-14. doi: 10.1016/j.ejmp.2021.03.035. Online ahead of print.ABSTRACTPURPOSE: To construct a deep convolutional neural network that generates virtual monochromatic images (VMIs) from single-energy computed tomography (SECT) images for improved pancreatic cancer imaging quality.MATERIALS AND METHODS: Fifty patients with pancreatic cancer underwent a dual-energy CT simulation …

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Artificial intelligence and prediction of the risk of lymph node metastasis of endoscopically removed T1 colorectal cancer

Gastroenterology. 2021 May 2:S0016-5085(21)00736-8. doi: 10.1053/j.gastro.2021.04.065. Online ahead of print.NO ABSTRACTPMID:33951453 | DOI:10.1053/j.gastro.2021.04.065

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Prediction of Chemosensitivity in Multiple Primary Cancer Patients Using Machine Learning

Anticancer Res. 2021 May;41(5):2419-2429. doi: 10.21873/anticanres.15017.ABSTRACTBACKGROUND/AIM: Many cancer patients face multiple primary cancers. It is challenging to find an anticancer therapy that covers both cancer types in such patients. In personalized medicine, drug response is predicted using genomic information, which makes it possible to choose the most effective …

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Prediction of tumor purity from gene expression data using machine learning

Brief Bioinform. 2021 May 5:bbab163. doi: 10.1093/bib/bbab163. Online ahead of print.ABSTRACTMOTIVATION: Bulk tumor samples used for high-throughput molecular profiling are often an admixture of cancer cells and non-cancerous cells, which include immune and stromal cells. The mixed composition can confound the analysis and affect the biological interpretation of the …

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Managing Tumor changes during Radiotherapy using a Deep Learning Model

Med Phys. 2021 May 7. doi: 10.1002/mp.14925. Online ahead of print.ABSTRACTPURPOSE: We propose a treatment planning framework that accounts for weekly lung tumor shrinkage using cone beam computed tomography (CBCT) images with a deep learning-based model.METHODS: Sixteen patients with non-small cell lung cancer (NSCLC) were selected with one planning CT …

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A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications

Sci Rep. 2021 May 7;11(1):9804. doi: 10.1038/s41598-021-89352-8.ABSTRACTLung cancer is a leading cause of cancer death in both men and women worldwide. The high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of cancer-cells to organs and tissues by metastasis. Automated …

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Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning

J Digit Imaging. 2021 May 7. doi: 10.1007/s10278-021-00455-0. Online ahead of print.ABSTRACTNon-invasive image-based machine learning models have been used to classify subtypes of non-small cell lung cancer (NSCLC). However, the classification performance is limited by the dataset size, because insufficient data cannot fully represent the characteristics of the …

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Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer

Cancer Med. 2021 May 8. doi: 10.1002/cam4.3957. Online ahead of print.ABSTRACTBACKGROUND: Microsatellite instability (MSI) predetermines responses to adjuvant 5-fluorouracil and immunotherapy in rectal cancer and serves as a prognostic biomarker for clinical outcomes. Our objective was to develop and validate a deep learning model that could preoperatively predict the MSI status …

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EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer

BMC Med Genomics. 2021 May 7;14(1):122. doi: 10.1186/s12920-021-00974-3.ABSTRACTBACKGROUND: Today, there are a lot of markers on the prognosis and diagnosis of complex diseases such as primary breast cancer. However, our understanding of the drivers that influence cancer aggression is limited.METHODS: In this work, we study somatic mutation …

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Applications of artificial intelligence in prostate cancer imaging

Curr Opin Urol. 2021 May 6. doi: 10.1097/MOU.0000000000000887. Online ahead of print.ABSTRACTPURPOSE OF REVIEW: The purpose of this review was to identify the most recent lines of research focusing on the application of artificial intelligence (AI) in the diagnosis and staging of prostate cancer (PCa) with imaging.RECENT FINDINGS: The majority …

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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study

Technol Cancer Res Treat. 2021 Jan-Dec;20:15330338211016373. doi: 10.1177/15330338211016373.ABSTRACTBACKGROUND: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT). As risk factors in the development of RP, patient and tumor characteristics, dosimetric parameters, and treatment features are intertwined, and it is not always possible to associate RP with a single …

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Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning

Analyst. 2021 May 10. doi: 10.1039/d1an00387a. Online ahead of print.ABSTRACTRadioresistance-a living cell's response to, and development of resistance to ionising radiation-can lead to radiotherapy failure and/or tumour recurrence. We used Raman spectroscopy and machine learning to characterise biochemical changes that occur in acquired radioresistance for breast cancer …

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Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions

J Magn Reson Imaging. 2021 May 10. doi: 10.1002/jmri.27692. Online ahead of print.ABSTRACTBACKGROUND: While Prostate Imaging Reporting and Data System (PI-RADS) 4 and 5 lesions typically warrant prostate biopsy and PI-RADS 1 and 2 lesions may be safely observed, PI-RADS 3 lesions are equivocal.PURPOSE: To construct and cross-validate a machine learning model based on radiomics …

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Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance

Brief Bioinform. 2021 May 10:bbab100. doi: 10.1093/bib/bbab100. Online ahead of print.ABSTRACTAlthough chemotherapy is the first-line treatment for ovarian cancer (OCa) patients, chemoresistance (CR) decreases their progression-free survival. This paper investigates the genetic interaction (GI) related to OCa-CR. To decrease the complexity of establishing gene networks, individual signature genes related …

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Entreprises

L'article, « Expression attenuation as a mechanism of robustness against gene duplication », publié dans la revue PNAS de l'équipe de notre membre @landrychristian est à la une des ULaval Nouvelles: bit.ly/3hgN6wG. Lire l'article sur bit.ly/3b63vjO.

L'article, « Expression attenuation as a mechanism of robustness against gene duplication », publié dans la revue PNAS de l'équipe de notre membre @landrychristian est à la une des ULaval Nouvelles: bit.ly/3hgN6wG.Lire l'article sur bit.ly/3b63vjO.

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Proud to partner with @AbbottNews. The Bigfoot Unity™ Diabetes Management System is the only FDA cleared dose decision support solution for people with insulin-requiring diabetes on Multiple Daily Injection therapy that seamlessly integrates with Abbott’s FreeStyle®Libre 2 iCGM.

Proud to partner with @AbbottNews. The Bigfoot Unity™ Diabetes Management System is the only FDA cleared dose decision support solution for people with insulin-requiring diabetes on Multiple Daily Injection therapy that seamlessly integrates with Abbott’s FreeStyle®Libre 2 iCGM.

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Catch our CEO and Founder, Ali Parsa, speaking at @CNBC's #HealthyReturns summit today about the new era of health care #innovation https://t.co/u7Kl9HB2Lq Quoted tweet from @cnbcevents: TOMORROW: The annual #HealthyReturns Summit kicks off at 12pET & you don't want to miss it. Join leaders from @pfizer @LillyPad @MayoClinic @Microsoft Health, @Centene & more. REGISTER NOW: bit.ly/cnbchealthyret… Sponsored by @babylonhealth @Change_HC & @Ontrak_Inc https://t.co/6YqqJnVTGU

Catch our CEO and Founder, Ali Parsa, speaking at @CNBC's #HealthyReturns summit today about the new era of health care #innovation https://t.co/u7Kl9HB2Lq Quoted tweet from @cnbcevents: TOMORROW: The annual #HealthyReturns Summit kicks off at 12pET & you don't want to miss it. …

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Federal Government Renews Pan-Canadian AI Strategy

The Vector Institute welcomes commitments in the 2021 federal budget to renew the CIFAR Pan-Canadian Artificial Intelligence Strategy, with a $443.8 million commitment over 10 years starting in 2021-22. Highlights of this commitment, in a section of the budget titled “Renewing the Pan-Canadian Artificial Intelligence Strategy,” include: $162.2 million over ten years to help …

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Certain types of yoga are suitable for treating osteoporosis. Here are some beginner-friendly poses that can lower the risk of complications. healthline.com/health/osteopo…

Certain types of yoga are suitable for treating osteoporosis. Here are some beginner-friendly poses that can lower the risk of complications. healthline.com/health/osteopo…

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Wonderful to be mentioned in this post on @Entrepreneur! Check it out! entrepreneur.com/article/370730

Wonderful to be mentioned in this post on @Entrepreneur! Check it out!entrepreneur.com/article/370730

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The combined effect of stress from social interactions and paid work increases women’s likelihood of developing coronary #HeartDisease by 21 percent. medicalnewstoday.com/articles/work-…

The combined effect of stress from social interactions and paid work increases women’s likelihood of developing coronary #HeartDisease by 21 percent.medicalnewstoday.com/articles/work-…

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By reading and monitoring your #brain waves, these #headphones - developed by @neurable - claim to learn 'how distractors impact your #performance and efficiency throughout the day' rb.gy/1thpvr #Tech #NeuroTech #Technology #BCI #EEG #Headphones #Neurable

By reading and monitoring your #brain waves, these #headphones - developed by @neurable - claim to learn 'how distractors impact your #performance and efficiency throughout the day'rb.gy/1thpvr#Tech #NeuroTech #Technology #BCI #EEG #Headphones #Neurable

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FDA authorized Neurolutions' brain-computer interface technology for the rehabilitation of stroke patients, which promises a faster and more complete recovery of hand function in many patients. rb.gy/mivkbl #NeuroTech #BrainTech

FDA authorized Neurolutions' brain-computer interface technology for the rehabilitation of stroke patients, which promises a faster and more complete recovery of hand function in many patients.rb.gy/mivkbl#NeuroTech #BrainTech

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Last week, the FDA authorized the first device falling under the BCI category, a robotic wearable called IpsiHand developed by Washington University startup Neurolutions. rb.gy/m8rncs

Last week, the FDA authorized the first device falling under the BCI category, a robotic wearable called IpsiHand developed by Washington University startup Neurolutions.rb.gy/m8rncs

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L’Institut intelligence et données de l’Université Laval et IVADO deviennent partenaires académiques

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CQDM, MEDTEQ+ et Montréal Invivo s’associent à IVADO afin de promouvoir l’innovation en santé numérique

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Pour la deuxième dose, peut-on recevoir un vaccin différent contre la #COVID19? @AbernsteinCIFAR répond aux questions sur la possibilité d’une stratégie vaccinale mixte, si les essais en cours au Royaume-Uni démontrent son efficacité. theglobeandmail.com/life/health-an…

Pour la deuxième dose, peut-on recevoir un vaccin différent contre la #COVID19? @AbernsteinCIFAR répond aux questions sur la possibilité d’une stratégie vaccinale mixte, si les essais en cours au Royaume-Uni démontrent son efficacité.theglobeandmail.com/life/health-an…

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Dans la lutte contre la pandémie, nous avons brisé la chaîne de transmission d’autres maladies comme le rhume et la grippe. Mais s’agit-il d’une arme à double tranchant? Des boursiers du CIFAR discutent d’une étude récente du programme Microbiome humain. theatlantic.com/health/archive…

Dans la lutte contre la pandémie, nous avons brisé la chaîne de transmission d’autres maladies comme le rhume et la grippe. Mais s’agit-il d’une arme à double tranchant? Des boursiers du CIFAR discutent d’une étude récente du programme Microbiome humain.theatlantic.com/health/archive…

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Apprentissage Machine – Comprendre les différences entre les données réelles et celles des essais cliniques pour améliorer les résultats des patients.

Jonathan Kanevesky, MD, FRCSCDirecteur – Innovations Cliniques jonathan@imagia.com Kam Kafi, MD, CMDirecteur – Oncologie et Stratégie Clinique kam.kafi@imagia.com The post Apprentissage Machine – Comprendre les différences entre les données réelles et celles des essais cliniques pour améliorer les résultats des patients. appeared …

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Accelerating Eye Movement Research for Wellness and Accessibility

Posted by Nachiappan Valliappan, Senior Software Engineer and Kai Kohlhoff, Staff Research Scientist, Google Research Eye movement has been studied widely across vision science, language, and usability since the 1970s. Beyond basic research, a better understanding of eye movement could be useful in a wide variety of applications, ranging across …

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Formations

Adopting AI: Putting the Pieces Together

Emerging AI trends and use cases across a range of industries. Beena Ammanath. Executive director, Deloitte AI Institute and AI ethics lead, Deloitte ...

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Revue de presse

When robots contribute to eradicate the COVID-19 spread in a context of containment

Abstract In the era of autonomous robots, multi-targets search methods inspired researchers to develop adapted algorithms to robot constraints, and with the rising of Swarm Intelligence approaches, Swarm Robotics became a very popular topic. In this paper, the problem of searching for an exponentially increasing number of targets in a …

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L’IA gagne du terrain en santé. Comment les ordres professionnels peuvent-ils l’encadrer ?

Les promesses de l’Intelligence artificielle (IA) incluent l’amélioration de la performance diagnostique en imagerie médicale, par exemple, pour diverses tumeurs ou maladies. ShutterstockLes professionnels de la santé – médecins, infirmières, pharmaciens et tous les autres – seront aux premières loges des transformations majeures qui dé…

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This system helps robots better navigate emergency rooms

Computer scientists have developed a more accurate navigation system that will allow robots to better negotiate busy clinical environments in general and emergency departments more specifically. The researchers have also developed a dataset of open source videos to help train robotic navigation systems in the future.

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Mayo Clinic trial signals potential for AI-guided heart disease detection

Mayo Clinic trial signals potential for AI-guided heart disease detection ... results of a trial this week that suggests potential for artificial intelligence to assist with ... It's up to us to figure how to use this in a way that improves care and health outcomes ... Healthcare IT News is a …

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Telehealth 2050: The future design of virtual care technology

The person's daily data is analyzed in real time by artificial intelligence and ... Romney spoke with Healthcare IT News about what he sees as the future of ... My vision for integrated care in 2050, as a futurist and a health-tech ... Results are analyzed in real time by AI and sent …

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Mass General Brigham and the future of AI in radiology

Artificial intelligence is making fast progress in the field of radiology. ... At the high-profile health system Mass General Brigham, clinicians and IT professionals ... together to advance the use of AI and machine learning in radiology. ... Healthcare IT News interviewed Dreyer to learn about all the progress ...

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