The clinical artificial intelligence department: a prerequisite for success.

Related Articles The clinical artificial intelligence department: a prerequisite for success. BMJ Health Care Inform. 2020 Jul;27(1): Authors: Cosgriff CV, Stone DJ, Weissman G, Pirracchio R, Celi LA PMID: 32675072 [PubMed - indexed for MEDLINE]

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Role of Artificial Intelligence in TeleStroke: An Overview

Author Names: Ali F.,Hamid U.,Zaidat O.,Bhatti D.,Kalia J.S. Database Source: Embase Journal Title: Frontiers in Neurology,Frontiers in Neurology Article Title: Role of Artificial Intelligence in TeleStroke: An Overview Year: 2020 Issue: Volume: 11 Abstract: Teleneurology has provided access to neurological expertise and state-of-the-art stroke care where …

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Leveraging Data Science for a Personalized Haemodialysis

Author Names: Hueso M.,De Haro L.,Calabia J.,Dal-Re R.,Tebe C.,Gibert K.,Cruzado J.M.,Vellido A. Database Source: Embase Journal Title: Kidney Diseases Article Title: Leveraging Data Science for a Personalized Haemodialysis Year: 2020 Issue: 6 Volume: 6 Abstract: Background: The 2019 Science for Dialysis Meeting at Bellvitge University Hospital …

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Mayo Clinic CIO says AI has been key to understanding COVID-19

Mayo Clinic CIO says AI has been key to understanding COVID-19 ... Machine Learning & AI for Healthcare Digital Summit, Mayo Clinic CIO Cris ... ways artificial intelligence has been crucial to our evolving understanding of ... for AI and machine learning "simply didn't exist in the pre-electronic health ...

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Why Chief Data Officers Must Assume Leadership for Data Success

In their efforts to become data-driven, Fortune 1000 companies face the common challenge of identifying the right leadership that will enable them to ...

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Artificial Intelligence in Health Care: Benefits and Challenges of Technologies to Augment Patient Care - Government Accountabil...

Artificial Intelligence in Health Care: Benefits and Challenges of Technologies to Augment Patient Care Government Accountability Office

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How Might Artificial Intelligence Applications Impact Risk Management?.

Author Names: Banja J Database Source: Ovid MEDLINE(R) In-Process & Other Non-Indexed Citations <December 04, 2020> Journal Title: AMA Journal of Ethics Article Title: How Might Artificial Intelligence Applications Impact Risk Management?. Year: 2020 Issue: 11 Volume: 22 Abstract: Artificial intelligence (AI) applications have attracted considerable ethical attention for good reasons. Although …

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Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine

J Clin Med. 2020 Nov 25;9(12):E3811. doi: 10.3390/jcm9123811.ABSTRACTTechnology has been integrated into every facet of human life, and whether it is completely advantageous remains unknown, but one thing is for sure; we are dependent on technology. Medical advances from the integration of artificial intelligence, machine learning, and augmented realities are …

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Organizational readiness for artificial intelligence in health care: insights for decision-making and practice

J Health Organ Manag. 2020 Dec 3;ahead-of-print(ahead-of-print). doi: 10.1108/JHOM-03-2020-0074.ABSTRACTPURPOSE: Artificial intelligence (AI) raises many expectations regarding its ability to profoundly transform health care delivery. There is an abundant literature on the technical performance of AI applications in many clinical fields (e.g. radiology, ophthalmology). This article aims …

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Shrinking massive neural networks used to model language

You don’t need a sledgehammer to crack a nut. Jonathan Frankle is researching artificial intelligence — not noshing pistachios — but the same philosophy applies to his “lottery ticket hypothesis.” It posits that, hidden within massive neural networks, leaner subnetworks can complete the same task more efficiently. The trick is finding …

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The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future

Artificial Intelligence in Medicine, Volume 110, 2020 Nov, Article 101965 | Straw, IsabelHighlights•Medical errors and biases have disadvantaged vulnerable patient groups for centuries. •These biases persist today in our medical assessment frameworks, diagnostic tools and educational curricula. •New Medical AI systems built from curre...

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Introducing Edna: A trainee chatbot designed to support communication about additional (secondary) genomic findings

Author Names: Ireland D.,Bradford D.,Szepe E.,Lynch E.,Martyn M.,Hansen D.,Gaff C. Database Source: Embase Journal Title: Patient Education and Counseling,Patient Education and Counseling Article Title: Introducing Edna: A trainee chatbot designed to support communication about additional (secondary) genomic findings Year: 2020 Issue: Volume: Abstract: Objective: …

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Ethical thinking machines in surgery and the requirement for clinical leadership

Author Names: Buchlak Q.D.,Esmaili N.,Leveque J.-C.,Bennett C.,Piccardi M.,Farrokhi F. Database Source: Embase Journal Title: American Journal of Surgery,American Journal of Surgery Article Title: Ethical thinking machines in surgery and the requirement for clinical leadership Year: 2020 Issue: 5 Volume: 220 Abstract:

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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

BMC Medical Informatics & Decision Making; 11/30/2020Background: Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the lack of explainability continues to spark criticism. …

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The role of artificial intelligence in breast cancer screening: how can it improve detection?

Expert Rev Mol Diagn. 2020 Dec 7. doi: 10.1080/14737159.2020.1859370. Online ahead of print.NO ABSTRACTPMID:33283564 | DOI:10.1080/14737159.2020.1859370

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Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network

Artificial Intelligence in Medicine, Volume 110, 2020 Nov, Article 101977 | Wang, Hanyin; Li, Yikuan; Khan, Seema A;...Highlights•Integration of clinical notes, concept identifiers and structural clinical features improves the performance of distant breast cancer recurrence prediction using Machine Learning and yields high AUC of over 0.88. •Knowledge-guided convo...

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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance

Artificial Intelligence in Medicine, Volume 110, 2020 Nov, Article 101976 | Macías-García, Laura; Martínez-Ballesteros, María; Luna-Romera, José María;...Highlights•Breast cancer is the most frequent cancer in women. •Autoencoder can be applied as preprocessing technique to extract meaningful information from DNA methylation. •Importance of autencoded features regarding breast cancer …

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At Borealis #AI we are building an automated model validation tool to detect adversarial robustness, #fairness, and data drift. Read our newest #ML blog here: bit.ly/3mw4eP1 #responsibleAI

At Borealis #AI we are building an automated model validation tool to detect adversarial robustness, #fairness, and data drift. Read our newest #ML blog here: bit.ly/3mw4eP1 #responsibleAI

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Zebra Medical Vision retweeted: .@ZebraMedVision leads the #AI medical imaging market with the largest data repository in the industry, optimizing clinical decisions within existing clinical workflows. Stop by the #AIMarketplace at #RSNA20 to learn more. bit.ly/37n6jGJ

Zebra Medical Vision retweeted: .@ZebraMedVision leads the #AI medical imaging market with the largest data repository in the industry, optimizing clinical decisions within existing clinical workflows. Stop by the #AIMarketplace at #RSNA20 to learn more. bit.ly/37n6jGJ

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Québec.AI retweeted: With AI taking over many aspects of daily life, policymakers must determine regulations and guardrails on the technology. Creators of the AI Index respond to some of the most pressing questions surrounding AI’s measurement and regulation. stanford.io/3mGulTA

Québec.AI retweeted: With AI taking over many aspects of daily life, policymakers must determine regulations and guardrails on the technology. Creators of the AI Index respond to some of the most pressing questions surrounding AI’s measurement and regulation. stanford.io/3mGulTA

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Utilizing consumer cameras for contact-free physiological measurement in telehealth and beyond

Our research is enabling robust and scalable measurement of physiology. Cameras on everyday devices can be used to detect subtle changes in light reflected from the body caused by physiological processes. Machine learning algorithms are then used to process the camera images and recover the underlying pulse and respiration signals …

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CIFAR retweeted: 🎥 Regardez notre nouvelle vidéo Vous pouvez voir (ou revoir) la conférence @iasociete/@CIFAR_News avec Jason Lewis (@jaspernotwell), “The Future is Reaching for Us”, sur notre chaîne Youtube. youtu.be/yIwu-wRFdv4

CIFAR retweeted: 🎥 Regardez notre nouvelle vidéoVous pouvez voir (ou revoir) la conférence @iasociete/@CIFAR_News avec Jason Lewis (@jaspernotwell), “The Future is Reaching for Us”, sur notre chaîne Youtube.youtu.be/yIwu-wRFdv4

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Grâce à un écosystème dynamique en IA, le Canada attire les talents en IA et en innovation : Elissa Strome, directrice de la Stratégie pancanadienne en matière d’IA du CIFAR sur l’impact de la stratégie à ce jour sur @Mila_Quebec @VectorInst @AmiiThinks cifar.ca/fr/nouvelles/2…

Grâce à un écosystème dynamique en IA, le Canada attire les talents en IA et en innovation : Elissa Strome, directrice de la Stratégie pancanadienne en matière d’IA du CIFAR sur l’impact de la stratégie à ce jour sur @Mila_Quebec @VectorInst @AmiiThinkscifar.ca/fr/nouvelles/2…

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Les décideurs devraient comprendre les promesses et les pièges de l’#IA : Gaga Boskovic du CIFAR parle de notre nouveau guide d’apprentissage créé avec le @BrookfieldIIE dans @IRPP policyoptions.irpp.org/magazines/nove…

Les décideurs devraient comprendre les promesses et les pièges de l’#IA : Gaga Boskovic du CIFAR parle de notre nouveau guide d’apprentissage créé avec le @BrookfieldIIE dans @IRPPpolicyoptions.irpp.org/magazines/nove…

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Que penser des outils diagnostiques basés sur l’#apprentissageautomatique dont l’exactitude diffère entre hommes et femmes, même si le diagnostic est plus précis? @MarzyehGhassemi, titulaire d’une chaire en IA Canada-CIFAR, dans une balado The Data Pulse anchor.fm/the-data-pulse…

Que penser des outils diagnostiques basés sur l’#apprentissageautomatique dont l’exactitude diffère entre hommes et femmes, même si le diagnostic est plus précis? @MarzyehGhassemi, titulaire d’une chaire en IA Canada-CIFAR, dans une balado The Data Pulseanchor.fm/the-data-pulse…

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Découvrez les dernières nouvelles de l’IA au Canada : de nouveaux rapports du CIFAR et @AccentureCanada illustrent comment la Stratégie pancanadienne sur l’IA favorise la recherche et la croissance de l’industrie. @Mila_Quebec @AmiiThinks @VectorInst mailchi.mp/cifar.ca/aican…

Découvrez les dernières nouvelles de l’IA au Canada : de nouveaux rapports du CIFAR et @AccentureCanada illustrent comment la Stratégie pancanadienne sur l’IA favorise la recherche et la croissance de l’industrie.@Mila_Quebec @AmiiThinks @VectorInst mailchi.mp/cifar.ca/aican…

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Google at NeurIPS 2020

Posted by Jaqui Herman and Cat Armato, Program ManagersThis week marks the beginning of the 34th annual Conference on Neural Information Processing Systems (NeurIPS 2020), the biggest machine learning conference of the year. Held virtually for the first time, this conference includes invited talks, demonstrations and presentations of some of the …

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Using JAX to accelerate our research

Here we share our experience of working with JAX, outline why we find it useful for our AI research, and give an overview of the ecosystem we are building to support researchers everywhere.

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Free online AI training for teachers - Technology Decisions

Free online AI training for teachers Technology Decisions

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L’IA au service des ressources humaines?

Proximité PME présente des contenus qui mettent en valeur des approches et pratiques, d’ici et d’ailleurs, à la fois innovantes et inspirantes. À …

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Companies are now writing reports tailored for AI readers – and it should worry us

A recent study suggests lengthy, complex corporate filings are increasingly read by, and written for, machinesMy eye was caught by the title of a working paper published by the National Bureau for Economic Research (NBER): How to Talk When a Machine Is Listening: Corporate Disclosure in the Age of AI. …

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Saudi health leaders on creating the digital workplace

"To ease access to healthcare, we should especially be using digital solutions for research innovations, technologies and innovation dimensions to AI, ...

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At SUNY, machine learning in OR scheduling enables big wins

At SUNY, machine learning in OR scheduling enables big wins ... SUNY Upstate Medical University in Syracuse, New York, has 35 operating rooms ... increased to 12 days ahead of auto release across the health system. ... to be instrumental in taking healthcare from making decisions based on 'tribal ...

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Montréal.IA retweeted: Après avoir injecté des dizaines de millions de dollars d'argent public dans l'aventure Element AI, comment expliquer la vente de l'entreprise à un groupe américain? On en parle à #Zoneéconomie à 18h HE avec Louis Têtu, PDG de Coveo, et Luc Sirois, directeur de Prompt Québec.

Montréal.IA retweeted: Après avoir injecté des dizaines de millions de dollars d'argent public dans l'aventure Element AI, comment expliquer la vente de l'entreprise à un groupe américain? On en parle à #Zoneéconomie à 18h HE avec Louis Têtu, PDG de Coveo, et Luc Sirois, …

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RDV le 9 déc. 2020 de 13:30-16:00 avec François Laviolette, Eric Paquet et Claude Coulombe pour discuter en table ronde l’IA, ses applications concrètes dans le secteur bioalimentaire et les différents enjeux qui en émergent. En savoir plus/inscription: bit.ly/3nqyStd

RDV le 9 déc. 2020 de 13:30-16:00 avec François Laviolette, Eric Paquet et Claude Coulombe pour discuter en table ronde l’IA, ses applications concrètes dans le secteur bioalimentaire et les différents enjeux qui en émergent.En savoir plus/inscription: bit.ly/3nqyStd

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Webinaire – Lancement de la plateforme de cartographie dynamique de l’intelligence artificielle (IA) en éducation

L’équipe de l’axe Éducation et capacitation de l’OBVIA , en collaboration avec la Chaire de recherche du Canada sur le numérique en éducation, a réalisé une cartographie thématique sur l’intelligence artificielle en éducation. Il s’agit d’un portail dynamique, mis à jour de faç…

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Québec.AI retweeted: Yoshua Bengio's guest talk in causalcourse.com is now online :) #CausalTwitter youtube.com/watch?v=rKZJ0T…

Québec.AI retweeted: Yoshua Bengio's guest talk in causalcourse.com is now online :) #CausalTwitteryoutube.com/watch?v=rKZJ0T…

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Montréal.IA retweeted: This Is The 2020 Debate The AI World Has Been Waiting For AI DEBATE #2 By: MONTREAL.AI ONLY 2 MONTHS TO GO : December 23, 2020 RSVP: aidebate.eventbrite.ca Details To Be Announced #AIDebate #MontrealAI

Montréal.IA retweeted: This Is The 2020 Debate The AI World Has Been Waiting ForAI DEBATE #2 By: MONTREAL.AI ONLY 2 MONTHS TO GO : December 23, 2020 RSVP: aidebate.eventbrite.ca Details To Be Announced #AIDebate #MontrealAI

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