Voici votre rapport de veille pour cette semaine.

Fréquence : hebdomadaire.

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

Questions, ajouts et commentaires :


Bonne lecture!



Daniela Ziegler, M.S.I.


Bibliothèque du CHUM



Contexte hospitalier

Preliminary Text Analysis from Medical Records for TB Diagnosis Support

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2468-2471. doi: 10.1109/EMBC46164.2021.9631006.ABSTRACTTuberculosis is an infectious disease that is spread through the air from one person to another and is one of the top ten causes of death in the world according to the World Health Organization. From biomedical engineering, …

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Development of machine learning model for predicting hospitalization in the prehospital setting

Author Names: Morisawa K.,Goto T.,Fujitani S. Database Source: Embase Preprint Journal Title: medRxiv,ENG Article Title: Development of machine learning model for predicting hospitalization in the prehospital setting Year: 2021 Issue: Volume: Abstract: Background: Studies have developed models for predicting patient outcomes for successful risk stratification in the prehospital …

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How Socio-Technical Factors Can Undermine Expectations of Human-Robot Cooperation in Hospitals

Author Names: Tornbjerg K.,Kanstrup A.M. Database Source: Embase Journal Title: Studies in health technology and informatics Article Title: How Socio-Technical Factors Can Undermine Expectations of Human-Robot Cooperation in Hospitals Year: 2021 Issue: Volume: 286 Abstract: This research analysed human-robot cooperation and interaction in the basement of a Danish hospital, where …

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Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations

Health Informatics J. 2021 Oct-Dec;27(4):14604582211052391. doi: 10.1177/14604582211052391.ABSTRACTThe application of artificial intelligence (AI) not only yields in advantages for healthcare but raises several ethical questions. Extant research on ethical considerations of AI in digital health is quite sparse and a holistic overview is lacking. A systematic literature review searching across 853 peer-reviewed journals …

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Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study

J Med Internet Res. 2021 Dec 24;23(12):e30805. doi: 10.2196/30805.ABSTRACTBACKGROUND: Acute kidney injury (AKI) develops in 4% of hospitalized patients and is a marker of clinical deterioration and nephrotoxicity. AKI onset is highly variable in hospitals, which makes it difficult to time biomarker assessment in all patients for preemptive care.OBJECTIVE: The study …

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Intelligence gathering: How hospitals can make AI compute.

Modern Healthcare; 12/20/2021(AN 154290737); ISSN: 01607480CINAHL Complete

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Catching Up Fast by Driving Value From AI

Some organizations may feel that acquiring AI capabilities is a race, and if a company starts late, it can never catch up. That notion is belied by Scotiabank (officially the Bank of Nova Scotia), which has pursued a results-oriented approach to artificial intelligence over the past two years. While some …

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AI in Healthcare

Stud Health Technol Inform. 2021 Dec 15;284:295-299. doi: 10.3233/SHTI210726.ABSTRACTThe potential value of AI to healthcare, and nursing in particular, ranges from improving quality and efficiency of care to delivering on the promise of personalized and precision medicine. AI systems may become virtually indispensable as ever more data is amassed about …

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Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare

Author Names: Shelmerdine S.C.,Arthurs O.J.,Denniston A.,Sebire N.J. Database Source: Embase Journal Title: BMJ health & care informatics Article Title: Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare Year: 2021 Issue: 1 Volume: 28 Abstract: High-quality research is essential in guiding evidence-based care, …

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Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah

Author Names: Voets M.M.,Veltman J.,Slump C.H.,Siesling S.,Koffijberg H. Database Source: Embase Journal Title: Value in Health,Value in Health Article Title: Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah Year: 2021 Issue: Volume: Abstract: Objectives: This …

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Improving Healthcare Cost, Quality, and Access Through Artificial Intelligence and Machine Learning Applications.

Journal of Healthcare Management; 07/01/2021Since the early 1970s, technology has increasingly become integrated into the healthcare field. Today, artificial intelligence (AI) and machine learning (ML, a set of learning techniques used by AI) have the capacity to revolutionize the delivery of patient care. This essay examines the mechanics and processes …

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Enseignement et recherche

Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare

Sensors (Basel). 2021 Dec 9;21(24):8219. doi: 10.3390/s21248219.ABSTRACTCOVID-19 is a transferable disease that is also a leading cause of death for a large number of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and quickly affects the respiratory system of the human being. Therefore, it is necessary to diagnosis this …

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Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2180-2185. doi: 10.1109/EMBC46164.2021.9630573.ABSTRACTThe Center for Eldercare and Rehabilitation Technology, at University of Missouri, has researched the use of smart, unobtrusive sensors for older adult residents' health monitoring and alerting in aging-in-place communities for many years. Sensors placed in the apartments …

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From Utopia Through Dystopia: Charting a Course for Learning Analytics in Competency-Based Medical Education

Acad Med. 2021 Jul 1;96(7S):S89-S95. doi: 10.1097/ACM.0000000000004092.ABSTRACTThe transition to the assessment of entrustable professional activities as part of competency-based medical education (CBME) has substantially increased the number of assessments completed on each trainee. Many CBME programs are having difficulty synthesizing the increased amount of assessment data. Learning analytics …

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Artificial Intelligence in Undergraduate Medical Education: A Scoping Review

Acad Med. 2021 Nov 1;96(11S):S62-S70. doi: 10.1097/ACM.0000000000004291.ABSTRACTPURPOSE: Artificial intelligence (AI) is a rapidly growing phenomenon poised to instigate large-scale changes in medicine. However, medical education has not kept pace with the rapid advancements of AI. Despite several calls to action, the adoption of teaching on AI in undergraduate …

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Medical student knowledge and critical appraisal of machine learning: a multicentre international cross-sectional study

Intern Med J. 2021 Sep;51(9):1539-1542. doi: 10.1111/imj.15479.ABSTRACTTo utilise effectively tools that employ machine learning (ML) in clinical practice medical students and doctors will require a degree of understanding of ML models. To evaluate current levels of understanding, a formative examination and survey was conducted across three centres in Australia, …

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Enjeux éthiques

The difficult role of Artificial Intelligence in Medical Liability: To err is not only human

Author Names: Tozzo P.,Angiola F.,Gabbin A.,Politi C.,Caenazzo L. Database Source: Embase Journal Title: Clinica Terapeutica,Clinica Terapeutica Article Title: The difficult role of Artificial Intelligence in Medical Liability: To err is not only human Year: 2021 Issue: 6 Volume: 172 Abstract: The entrance of Artificial Intelligence (AI) as a …

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A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence

Author Names: Martinho A.,Kroesen M.,Chorus C. Database Source: Embase Journal Title: Artificial Intelligence in Medicine,Artificial Intelligence in Medicine Article Title: A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence Year: 2021 Issue: Volume: 121 Abstract: Artificial Intelligence (AI) is moving towards the health …

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Legal Matters: The Legal Context of Health Informatics in Global Pandemics.

Studies in Health Technology & Informatics; 10/01/2021Law and regulation have not received much attention as part of the context shaping and being shaped by health informatics. Telemedicine, data, devices and software, and electronic health records (EHRs) are examples of how technologies are affected by privacy, intellectual property protections, and other …

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Autonomous Systems and Artificial Intelligence -- Hype or Prerequisite for P5 Medicine?...18th International Conference on Wearable Micro and Nano Technologies for Personalized Health (virtual), November 8-10, 2021.

Studies in Health Technology & Informatics; 09/01/2021For meeting the challenge of aging, multi-diseased societies, cost containment, workforce development and consumerism by improved care quality and patient safety as well as more effective and efficient care processes, health and social care systems around the globe undergo an organizational, methodological and technological …

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Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.

Journal of Medical Internet Research; 11/01/2021Background: It is believed that artificial intelligence (AI) will be an integral part of health care services in the near future and will be incorporated into several aspects of clinical care such as prognosis, diagnostics, and care planning. Thus, many technology companies have invested in …

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IA en oncologie

Prostate Cancer: Early Detection and Assessing Clinical Risk Using Deep Machine Learning of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data

Front Immunol. 2021 Dec 16;12:786828. doi: 10.3389/fimmu.2021.786828. eCollection 2021.ABSTRACTDetecting the presence of prostate cancer (PCa) and distinguishing low- or intermediate-risk disease from high-risk disease early, and without the need for potentially unnecessary invasive biopsies remains a significant clinical challenge. The aim of this study is to determine whether the T and B …

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Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection

BMJ Open. 2022 Jan 3;12(1):e054005. doi: 10.1136/bmjopen-2021-054005.ABSTRACTINTRODUCTION: Artificial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer screening programmes if they can detect cancers, including interval cancers, without contributing substantially to overdiagnosis. Studies suggesting that AI has comparable or greater …

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Improving Skin cancer Management with ARTificial Intelligence (SMARTI): protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting

BMJ Open. 2022 Jan 4;12(1):e050203. doi: 10.1136/bmjopen-2021-050203.ABSTRACTINTRODUCTION: Convolutional neural networks (CNNs) can diagnose skin cancers with impressive accuracy in experimental settings, however, their performance in the real-world clinical setting, including comparison to teledermatology services, has not been validated in prospective clinical studies.METHODS AND ANALYSIS: Participants will be recruited …

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Revue de presse

Artificial Intelligence Detects Pulmonary Embolisms -

Artificial Intelligence Detects Pulmonary Embolisms

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IT execs talk priorities and predictions for 2022 | Healthcare IT News

But for a U.S. health system stretched thin by wave after wave of ... chief medical officer and co-founder of Biofourmis, which offers AI-enabled ...

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Événements IA et santé

We're excited to present at the 40th Annual J.P. Morgan Healthcare Conference on Monday, January 10 at 11:15 a.m. ET #JPM22

We're excited to present at the 40th Annual J.P. Morgan Healthcare Conference on Monday, January 10 at 11:15 a.m. ET #JPM22

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