Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test

Lancet Digit Health. 2021 Feb;3(2):e78-e87. doi: 10.1016/S2589-7500(20)30274-0. Epub 2020 Dec 11.ABSTRACTBACKGROUND: The early clinical course of COVID-19 can be difficult to distinguish from other illnesses driving presentation to hospital. However, viral-specific PCR testing has limited sensitivity and results can take up to 72 h for operational reasons. We aimed …

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DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

Nat Med. 2021 Feb 1. doi: 10.1038/s41591-021-01229-5. Online ahead of print.NO ABSTRACTPMID:33526932 | DOI:10.1038/s41591-021-01229-5

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Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test

Author Names: Soltan A.A.S.,Kouchaki S.,Zhu T.,Kiyasseh D.,Taylor T.,Hussain Z.B.,Peto T.,Brent A.J.,Eyre D.W.,Clifton D.A. Database Source: Embase Journal Title: The Lancet Digital Health Article Title: Rapid triage for COVID-19 using routine clinical data for patients attending …

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“Liquid” machine-learning system adapts to changing conditions

MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying equations to continuously adapt to new data inputs. The advance could aid decision making based on data streams that change over …

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Robust artificial intelligence tools to predict future cancer 

To catch cancer earlier, we need to predict who is going to get it in the future. The complex nature of forecasting risk has been bolstered by artificial intelligence (AI) tools, but the adoption of AI in medicine has been limited by poor performance on new patient populations and neglect …

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Petit guide sur les angles morts des réponses technologiques à la pandémie de COVID-19

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Obstacles to Implementing AI Tools in Health Care

JAMA. 2021 Jan 26;325(4):333. doi: 10.1001/jama.2020.26933.NO ABSTRACTPMID:33496759 | DOI:10.1001/jama.2020.26933

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canSAR: update to the cancer translational research and drug discovery knowledgebase.

Related Articles canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Res. 2021 01 08;49(D1):D1074-D1082 Authors: Mitsopoulos C, Di Micco P, Fernandez EV, Dolciami D, Holt E, Mica IL, Coker EA, Tym JE, Campbell J, Che KH, Ozer B, Kannas C, Antolin AA, Workman P, Al-Lazikani …

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Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: a machine learning approach.

Related Articles Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: a machine learning approach. Lancet Digit Health. 2019 10;1(6):e261-e270 Authors: Leighton SP, Upthegrove R, Krishnadas R, Benros ME, Broome MR, Gkoutos GV, Liddle PF, Singh SP, Everard …

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Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department

Author Names: Jalal S.,Parker W.,Ferguson D.,Nicolaou S. Database Source: Embase Journal Title: Canadian Association of Radiologists Journal,Canadian Association of Radiologists Journal Article Title: Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department Year: 2021 Issue: 1 Volume: 72 Abstract: Emergency and trauma radiologists, emergency department'…

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Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine.

Seminars in Nuclear Medicine; 03/01/2021Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to be a disruptive, but innovative, technology. Recent developments in artificial neural networks, machine learning, and deep learning have ignited debate with respect to ethical and legal challenges associated with the use of AI …

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How to evaluate deep learning for cancer diagnostics - factors and recommendations

Biochim Biophys Acta Rev Cancer. 2021 Jan 26:188515. doi: 10.1016/j.bbcan.2021.188515. Online ahead of print.ABSTRACTThe large volume of data used in cancer diagnosis presents a unique opportunity for deep learning algorithms, which improve in predictive performance with increasing data. When applying deep learning to cancer diagnosis, the goal is often to …

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Designing deep learning studies in cancer diagnostics

Nat Rev Cancer. 2021 Jan 29. doi: 10.1038/s41568-020-00327-9. Online ahead of print.ABSTRACTThe number of publications on deep learning for cancer diagnostics is rapidly increasing, and systems are frequently claimed to perform comparable with or better than clinicians. However, few systems have yet demonstrated real-world medical utility. In this …

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A Systematic Review of Artificial Intelligence in Prostate Cancer

Res Rep Urol. 2021 Jan 22;13:31-39. doi: 10.2147/RRU.S268596. eCollection 2021.ABSTRACTThe diagnosis and management of prostate cancer involves the interpretation of data from multiple modalities to aid in decision making. Tools like PSA levels, MRI guided biopsies, genomic biomarkers, and Gleason grading are used to diagnose, risk stratify, and then monitor …

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Brain tumor segmentation using K-means clustering and deep learning with synthetic data augmentation for classification

Microsc Res Tech. 2021 Feb 1. doi: 10.1002/jemt.23694. Online ahead of print.ABSTRACTImage processing plays a major role in neurologists' clinical diagnosis in the medical field. Several types of imagery are used for diagnostics, tumor segmentation, and classification. Magnetic resonance imaging (MRI) is favored among all modalities due to its noninvasive nature …

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Automated detection of colorectal tumors based on artificial intelligence

BMC Med Inform Decis Mak. 2021 Feb 1;21(1):33. doi: 10.1186/s12911-020-01314-8.ABSTRACTBACKGROUND: This study developed a diagnostic tool to automatically detect normal, unclear and tumor images from colonoscopy videos using artificial intelligence.METHODS: For the creation of training and validation sets, 47,555 images in the jpg format were extracted from colonoscopy …

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Les projets de Microsoft en matière de cloud computing quantique font un pas en avant

Azure Quantum, l'écosystème du cloud public dédié aux applications quantiques développées par Microsoft, est maintenant disponible en avant-première. …

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Top Artificial Intelligence Companies in Healthcare

Jan 21, 2020 ... AI could help medical professionals in designing treatment plans and finding the best suited methods for every patient. It might assist repetitive, ...

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Curious about human-in-the-loop reinforcement learning? Watch Dr. @j_foerst's virtual lecture on "Self-Play and Zero-Shot Coordination in Hanabi": bit.ly/37jLOKo #AI #ML #Canada

Curious about human-in-the-loop reinforcement learning? Watch Dr. @j_foerst's virtual lecture on "Self-Play and Zero-Shot Coordination in Hanabi": bit.ly/37jLOKo #AI #ML #Canada

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Striking the balance between #innovation & #ethics is crucial in AI. @HumeKathryn discusses the importance of operationalizing #AI ethics, and shares insights from her @mtlaiethics 'The State of Ethics' chapter introduction: bit.ly/3t8jC84

Striking the balance between #innovation & #ethics is crucial in AI. @HumeKathryn discusses the importance of operationalizing #AI ethics, and shares insights from her @mtlaiethics 'The State of Ethics' chapter introduction: bit.ly/3t8jC84

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Our data scientists dove into nine months’ worth of COVID-19-related data since the beginning of the pandemic. Hear more about what we learned about #COVID19 and the role of #virtualcare in our latest blog: bit.ly/3sZG8Q7 #datascience

Our data scientists dove into nine months’ worth of COVID-19-related data since the beginning of the pandemic. Hear more about what we learned about #COVID19 and the role of #virtualcare in our latest blog: bit.ly/3sZG8Q7 #datascience

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Québec.AI retweeted: MONTREAL ♡ AI AI is “Digital Diamonds” for Montreal. MONTREAL.AI is the next big thing. #MontrealAI #QuebecAI

Québec.AI retweeted: MONTREAL ♡ AIAI is “Digital Diamonds” for Montreal.MONTREAL.AI is the next big thing.#MontrealAI #QuebecAI

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Find out more about how researchers can use modern neuroanatomy and the Infinitome software package to define NIBS targets on @Brainbox_Neuro's website now: ow.ly/NwcB50DkkfB

Find out more about how researchers can use modern neuroanatomy and the Infinitome software package to define NIBS targets on @Brainbox_Neuro's website now: ow.ly/NwcB50DkkfB

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🧠 @AspenTech choisit #Montréal pour son nouveau « AIoT Hub », son Centre d’excellence en solutions d’intelligence artificielle et d’Internet des objets industriel! Félicitations pour ce nouveau projet dans la métropole! Tous les détails 👉mtlintl.co/VPYeOw #MTL #IA

🧠 @AspenTech choisit #Montréal pour son nouveau « AIoT Hub », son Centre d’excellence en solutions d’intelligence artificielle et d’Internet des objets industriel!Félicitations pour ce nouveau projet dans la métropole!Tous les détails 👉mtlintl.co/VPYeOw#MTL #IA

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Montréal International retweeted: #Québec is a booming #tech hub perfect for your startup! ✅7,500 companies ✅140,000 employees specializing in #ITC [Graphics: @InvestQuebec] 🚀Join us, Thursday at 2pm to discover w @MTLINTL what #Montréal has to offer for your #startup! #AI #fintech 👉 bit.ly/3oiGWMF

Montréal International retweeted: #Québec is a booming #tech hub perfect for your startup!✅7,500 companies✅140,000 employees specializing in #ITC[Graphics: @InvestQuebec]🚀Join us, Thursday at 2pm to discover w @MTLINTL what #Montréal has to offer for your #startup! #AI #fintech👉 bit.ly/3oiGWMF

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CIFAR retweeted: Have you read our new Ontario AI snapshot outlining benchmark metrics around talent, job, investment activity & more? Learn more: is.gd/AISnapshotONBl… We salute those who share our drive to build a vibrant #AI ecosystem: @CIFAR_News, @OntInnovation, @ISED_CA #innovation

CIFAR retweeted: Have you read our new Ontario AI snapshot outlining benchmark metrics around talent, job, investment activity & more? Learn more: is.gd/AISnapshotONBl… We salute those who share our drive to build a vibrant #AI ecosystem: @CIFAR_News, @OntInnovation, @ISED_CA #innovation

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La Formation continue et CFDD-@FSGulaval, @IID_ULaval et @IVADO_Qc offriront à nouveau l'École en apprentissage automatique du 1er au 26 mars 2021: 45 h de formation en ligne pour démystifier et appréhender ce champ d'étude rattaché à l'IA. En savoir plus: ow.ly/G4mT50D5Hya

La Formation continue et CFDD-@FSGulaval, @IID_ULaval et @IVADO_Qc offriront à nouveau l'École en apprentissage automatique du 1er au 26 mars 2021: 45 h de formation en ligne pour démystifier et appréhender ce champ d'étude rattaché à l'IA.En savoir plus: ow.ly/G4mT50D5Hya

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Comment évaluer les nouveaux risques cyber ?

Les risques cyber changent rapidement de nature. Joshua Gandara, Unsplash , CC BY-SAL’attaque Sunburst, découverte en décembre, illustre l’ampleur du défi de la cybersécurité. Les pirates informatiques ont réussi à pénétrer dans les principales agences gouvernementales américaines et dans d’autres organisations …

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'Liquid' machine-learning system adapts to changing conditions

Researchers developed a neural network that learns on the job, not just during training. The 'liquid' network varies its equations' parameters, enhancing its ability to analyze time series data. The advance could boost autonomous driving, medical diagnosis, and more.

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Informatique quantique : des scientifiques appellent à la création d'un guide éthique

Entre bénéfices et dangers, l'informatique quantique soulève déjà d'importantes questions éthiques. Bien qu’à ses balbutiements, l’essor de …

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Philips joins French hospital in 5-year technology partnership

Global pioneers of medical imaging Philips have announced a 5-year technology ... within CHU Rennes and contribute to the development of sustainable healthcare. ... of stroke management and the development of AI to improve care of acute patients. ... Get daily news updates from Healthcare IT News.

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Experts share 2021 digital health predictions

Healthcare IT News speaks to health leaders about their predictions for the uncertain 12 ... "Policymakers, clinicians and citizens are also realising the value of ... "AI had become mythical but 2021 looks set to be the year where it may come ... Artificial Intelligence, Patient Engagement, Population Health ...

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Northwell machine learning model can predict COVID-19 respiratory failure

Healthcare IT News is a HIMSS publication. Topics: Analytics, Artificial Intelligence, Clinical, Decision Support, Electronic Health Records (EHR, EMR) ...

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Revolutionizing Radiology Workflow with an Integrated Systems and Solution Approach

New Insights into AI and Machine Learning in Healthcare ... These include its AI-enabled automated Radiology Workflow Suite, the ... This leads to clearer care pathways and predictable outcomes for every patient. ... can bring about a plethora of benefits to both patients and healthcare specialists in ...

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Analytics: a weapon against the COVID-19 vaccine black market

In New York, a community health network reportedly to have fraudulently obtained ... greater the risk of diversion," Knight said in an interview with Healthcare IT News. ... Invistics uses machine learning and analytics to flag suspicious signs of strange medication behavior. ... The Diverse Roles of AI & ML.

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/Prochain webinaire de @IID_ULaval/ RDV le 5 février dès midi avec François Bédard, du CCIAN, pour un webinaire sur la ville proactive intelligente et les nouveaux usages vers une expérience humaine connectée résiliente. En savoir plus et inscription: ow.ly/mohP50DhnUS

/Prochain webinaire de @IID_ULaval/RDV le 5 février dès midi avec François Bédard, du CCIAN, pour un webinaire sur la ville proactive intelligente et les nouveaux usages vers une expérience humaine connectée résiliente. En savoir plus et inscription: ow.ly/mohP50DhnUS

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Webinaire : La place et le rôle de l’interdisciplinarité dans la construction de nouvelles connaissances en IA et numérique au sein de l’OBVIA

Dans le cadre de ce séminaire, Lyse Langlois, directrice générale de l’Observatoire international sur les impacts sociaux et éthiques de l’IA et du numérique.(OBVIA) situé à l’Université Laval (Québéc), nous présentera OBVIA et les enjeux de l’interdisciplinarité dans l’é…

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