Bonjour,

Voici votre rapport de veille pour cette semaine.

Fréquence : hebdomadaire.

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

Questions, ajouts et commentaires : daniela.ziegler.chum@ssss.gouv.qc.ca

 

Bonne lecture!

Cordialement,

 

Daniela Ziegler, M.S.I.

Bibliothécaire-informationniste

Bibliothèque du CHUM

 

 

Contexte hospitalier

Exploring optimal control of epidemic spread using reinforcement learning.

Related Articles Exploring optimal control of epidemic spread using reinforcement learning. Sci Rep. 2020 12 16;10(1):22106 Authors: Ohi AQ, Mridha MF, Monowar MM, Hamid MA AbstractPandemic defines the global outbreak of a disease having a high transmission rate. The impact of a pandemic situation can be lessened by restricting the movement of the …

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Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.

Related Articles Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review. Artif Intell Med. 2020 01;102:101762 Authors: Fernandes M, Vieira SM, Leite F, Palos C, Finkelstein S, Sousa JMC AbstractMOTIVATION: Emergency Departments' (ED) modern triage systems implemented worldwide are solely based upon medical knowledge and experience. …

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Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19.

Related Articles Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19. Anaesth Crit Care Pain Med. 2020 12;39(6):691-693 Authors: Jansson M, Rubio J, Gavaldà R, Rello J PMID: 33099016 [PubMed - indexed for MEDLINE]

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Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Related Articles Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database. Medicine (Baltimore). 2020 Dec 04;99(49):e22361 Authors: Jaotombo F, Pauly V, Auquier P, Orleans V, Boucekine M, Fond G, Ghattas B, Boyer L AbstractPredicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been …

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Using Machine Learning to Make Predictions in Patients Who Fall.

Related Articles Using Machine Learning to Make Predictions in Patients Who Fall. J Surg Res. 2021 01;257:118-127 Authors: Young AJ, Hare A, Subramanian M, Weaver JL, Kaufman E, Sims C AbstractBACKGROUND: As the population ages, the incidence of traumatic falls has been increasing. We hypothesize that a machine learning algorithm can …

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Gestion

Elaboration of a Recommendation on ethics of artificial intelligence

Today, artificial intelligence plays a role in billions of people's lives. ... AI can provide millions of students with support to complete secondary education, fill an additional 3.3 million jobs, and, more urgently, help us tackle the spread and the aftermath of ... Quels sont les défis et les opportunités …

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Enseignement et recherche

Deep neural networks detect suicide risk from textual facebook posts.

Related Articles Deep neural networks detect suicide risk from textual facebook posts. Sci Rep. 2020 10 07;10(1):16685 Authors: Ophir Y, Tikochinski R, Asterhan CSC, Sisso I, Reichart R AbstractDetection of suicide risk is a highly prioritized, yet complicated task. Five decades of research have produced predictions slightly better than chance (AUCs = 0.56-0.58). In …

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Where medical education meets artificial intelligence: 'Does technology care?'.

Medical Education; 01/01/2021'Cold' technologies and 'warm' hands‐on medicine need to walk hand‐in‐hand: Technologies, such as deep learning artificial intelligence (AI), promise benign solutions to thorny, complex problems; but this view is misguided. Though AI has revolutionised aspects of technical medicine, it has brought in its wake practical, …

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Artificial Intelligence in Radiology Residency Training.

Related Articles Artificial Intelligence in Radiology Residency Training. Semin Musculoskelet Radiol. 2020 Feb;24(1):74-80 Authors: Forney MC, McBride AF AbstractArtificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the field of radiology. AI will certainly have an impact on the day-to-day work of radiologists …

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On Artificial Intelligence and Deep Learning Within Medical Education.

Author Names: Carin L Database Source: Ovid MEDLINE(R) <January Week 4 2019 to December Week 3 2020> Journal Title: Academic Medicine Article Title: On Artificial Intelligence and Deep Learning Within Medical Education. Year: 2020 Issue: 11 Volume: 95 Abstract: The methodology of deep learning, a component of machine learning and artificial intelligence, is introduced. …

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Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team

Author Names: Martin-Noguerol T.,Paulano-Godino F.,Lopez-Ortega R.,Gorriz J.M.,Riascos R.F.,Luna A. Database Source: Embase Journal Title: Clinical Radiology,Clinical Radiology Article Title: Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team Year: 2020 Issue: Volume: Abstract: The use …

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The Value of Artificial Intelligence in Laboratory Medicine

Author Names: Paranjape K.,Schinkel M.,Hammer R.D.,Schouten B.,Nannan Panday R.S.,Elbers P.W.G.,Kramer M.H.H.,Nanayakkara P. Database Source: Embase Journal Title: American journal of clinical pathology Article Title: The Value of Artificial Intelligence in Laboratory Medicine Year: 2020 Issue: Volume: Abstract: OBJECTIVES: …

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Enjeux éthiques

The Challenges of Implementing Artificial Intelligence into Surgical Practice.

Author Names: Tranter-Entwistle I,Wang H,Daly K,Maxwell S,Connor S Database Source: Ovid MEDLINE(R) In-Process & Other Non-Indexed Citations <December 31, 2020> Journal Title: World Journal of Surgery Article Title: The Challenges of Implementing Artificial Intelligence into Surgical Practice. Year: 2021 Issue: 2 Volume: 45 Abstract: BACKGROUND: Artificial intelligence is …

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Ethical implications of emotion mining in medicine

Author Names: Straw I. Database Source: Embase Journal Title: Health Policy and Technology,Health Policy and Technology Article Title: Ethical implications of emotion mining in medicine Year: 2020 Issue: Volume: Abstract: Background: The tools of emotion mining were developed in the field of computer science to detect and evaluate human emotions. …

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IA en oncologie

Can computers conceive the complexity of cancer to cure it? Using artificial intelligence technology in cancer modelling and drug discovery

Math Biosci Eng. 2020 Sep 25;17(6):6515-6530. doi: 10.3934/mbe.2020340.ABSTRACTDrug discovery and the development of safe and effective therapeutics is an intricate procedure, further complicated in the context of cancer research by the inherent heterogeneity and complexity of the disease. To address the difficulties of identifying, validating, and pursuing a promising drug …

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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

Lancet Oncol. 2021 Jan;22(1):132-141. doi: 10.1016/S1470-2045(20)30535-0.ABSTRACTBACKGROUND: Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical decision making, as it identifies patients with differential treatment response and prognosis. Universal MSI testing is recommended, but many patients remain untested. A critical need exists for broadly accessible, cost-efficient …

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Application of artificial intelligence and machine learning for prediction of oral cancer risk

J Oral Pathol Med. 2021 Jan 4. doi: 10.1111/jop.13157. Online ahead of print.ABSTRACTBACKGROUND: Oral cancer requires early diagnosis and treatment to increase the chances of survival. This study aimed to develop an artificial neural network model that helps to predict the individuals' risk of developing oral cancer based on data on …

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Entreprises

Montréal.IA retweeted: CIRST | L'intelligence artificielle au Québec : un réseau tricoté serré « one of the biggest risks in the current overhyping of AI is another AI winter… […] hype is still a major concern. » - @GaryMarcus Full document : cyberjustice.openum.ca/files/sites/10… #IntelligenceArtificielle #Hype

Montréal.IA retweeted: CIRST | L'intelligence artificielle au Québec : un réseau tricoté serré« one of the biggest risks in the current overhyping of AI is another AI winter… […] hype is still a major concern. » - @GaryMarcusFull document : cyberjustice.openum.ca/files/sites/10…#IntelligenceArtificielle #Hype

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Formations

DU Intelligence Artificielle Santé - SEFCA UMDPCS

DU Intelligence Artificielle Santé. Responsable | Présentation | Objectifs de la formation | Organisation pédagogique | Contenu | Public | Validation de la ...

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Artificial Intelligence in Health Care (self-paced online) | MIT Sloan ...

Oct 14, 2020 ... The potential of artificial intelligence (AI) to transform health care — through the work of both organizational leaders and medical professionals ...

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Revue de presse

Votre état de santé… dans votre voix

Notre voix contient des informations sur notre humeur, mais aussi sur notre santé. peterschreiber.media / shutterstockAvez-vous déjà senti lors d’un appel téléphonique avec un·e ami·e que celui-ci ne va pas bien ? Uniquement à partir de sa voix, vous avez réussi à deviner son état de …

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What to expect in 2021 and beyond? IDC offers 10 healthcare predictions

In the recent IDC FutureScape: Worldwide Health Industry 2021 Predictions report, experts at IDC ... Healthcare IT News is a HIMSS publication.

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Health IT execs offer thoughts on the big issues of 2021

Despite the challenges, machine learning is helping health systems and their ... And that could help position healthcare organizations to better weather ... "AI can also significantly help fast-track vaccine development, and with ... patient monitoring and artificial intelligence will need to augment telehealth.

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Événements IA 

Zebra Medical Vision retweeted: Though we are going virtual for this years' event, you can still meet the industry and hear about their latest work in #AI ! Register now bit.ly/BIRAI2021 @AidenceVeye @SiemensHealth @ZebraMedVision @OSL1 @qure_ai @RCRadiologists @SCoRMembers @radiologycafe @Radiology_AI

Zebra Medical Vision retweeted: Though we are going virtual for this years' event, you can still meet the industry and hear about their latest work in #AI ! Register now bit.ly/BIRAI2021 @AidenceVeye @SiemensHealth @ZebraMedVision @OSL1 @qure_ai @RCRadiologists @SCoRMembers @radiologycafe @Radiology_AI

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Pour tout commentaire permettant de bonifier cette veille, communiquez avec Daniela Ziegler, bibliothécaire-informationniste au CHUM, à l'adresse: daniela.ziegler.chum@ssss.gouv.qc.ca