Technology Intelligence: the tech opportunities facing a post-Covid UK

... and grow quickly to help lead the UK's economic recovery following the pandemic. On day two of our Technology Intelligence Live conference, we'll ...

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Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.

Related Articles Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists. Med Oncol. 2020 Apr 03;37(5):40 Authors: Pesapane F, Tantrige P, Patella F, Biondetti P, Nicosia L, Ianniello A, Rossi UG, Carrafiello G, Ierardi AM AbstractArtificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice …

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A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.

Related Articles A Smart Service Platform for Cost Efficient Cardiac Health Monitoring. Int J Environ Res Public Health. 2020 08 30;17(17): Authors: Faust O, Lei N, Chew E, Ciaccio EJ, Acharya UR AbstractAIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective.…

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The ethical adoption of artificial intelligence in radiology.

Author Names: Mudgal KS,Das N Database Source: Ovid MEDLINE(R) In-Process & Other Non-Indexed Citations <November 12, 2020> Journal Title: BJR Open Article Title: The ethical adoption of artificial intelligence in radiology. Year: 2020 Issue: 1 Volume: 2 Abstract: Artificial intelligence (AI) is rapidly transforming healthcare-with radiology at the pioneering forefront. To …

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What's in the Box?: Uncertain Accountability of Machine Learning Applications in Healthcare

Author Names: Zawati M.,Lang M. Database Source: Embase Journal Title: The American journal of bioethics : AJOB Article Title: What's in the Box?: Uncertain Accountability of Machine Learning Applications in Healthcare Year: 2020 Issue: 11 Volume: 20 Abstract:

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Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning

Author Names: Karnik N.S.,Afshar M.,Churpek M.M.,Nunez-Smith M. Database Source: Embase Journal Title: The American journal of bioethics : AJOB Article Title: Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning Year: 2020 Issue: 11 Volume: 20 Abstract:

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Respect and Trustworthiness in the Patient-Provider-Machine Relationship: Applying a Relational Lens to Machine Learning Healthcare Applications

Author Names: Kraft S.A. Database Source: Embase Journal Title: The American journal of bioethics : AJOB Article Title: Respect and Trustworthiness in the Patient-Provider-Machine Relationship: Applying a Relational Lens to Machine Learning Healthcare Applications Year: 2020 Issue: 11 Volume: 20 Abstract:

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Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?

Fertility & Sterility; 11/01/2020The extension of blockchain use for nonfinancial domains has revealed opportunities to the health care sector that answer the need for efficient and effective data and information exchanges in a secure and transparent manner. Blockchain is relatively novel in health care and particularly for data analytics, although …

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A roadmap for the early detection and diagnosis of cancer

Author Names: Crosby D.,Lyons N.,Greenwood E.,Harrison S.,Hiom S.,Moffat J.,Quallo T.,Samuel E.,Walker I. Database Source: Embase Journal Title: The Lancet Oncology,The Lancet Oncology Article Title: A roadmap for the early detection and diagnosis of cancer Year: 2020 Issue: 11 Volume: 21 Abstract:

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Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism.

Related Articles Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism. J Urol. 2020 Nov;204(5):1033-1038 Authors: Masterson TA, Parmar M, Tradewell MB, Nackeeran S, Rainer Q, Blachman-Braun R, Heller N, Greer A, Hauser N, Kava BR, Ramasamy R AbstractPURPOSE: Ischemic priapism is a urological emergency that requires …

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Natural language processing with machine learning to predict outcomes after ovarian cancer surgery

Gynecol Oncol. 2020 Oct 14:S0090-8258(20)34012-9. doi: 10.1016/j.ygyno.2020.10.004. Online ahead of print.ABSTRACTOBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured full text documents (a preoperative CT scan) improves the ability to predict postoperative complication and hospital readmission among women with ovarian cancer undergoing surgery …

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Combined Spiral Transformation and Model-driven Multi-modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer

IEEE Trans Med Imaging. 2020 Nov 4;PP. doi: 10.1109/TMI.2020.3035789. Online ahead of print.ABSTRACTPancreatic cancer is a malignant form of cancer with one of the worst prognoses. The poor prognosis and resistance to therapeutic modalities have been linked to TP53 mutation. Pathological examinations, such as biopsies, cannot be frequently performed in …

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A prospective validation and observer performance study of a deep learning algorithm for pathologic diagnosis of gastric tumors in endoscopic biopsies

Clin Cancer Res. 2020 Nov 10:clincanres.3159.2020. doi: 10.1158/1078-0432.CCR-20-3159. Online ahead of print.ABSTRACTPURPOSE: Gastric cancer remains the leading cause of cancer death in Northeast Asia. Population-based endoscopic screenings in the region have yielded successful results in early detection of gastric tumors. Subsequently, endoscopic screening rates are continuously increasing, and …

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A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort

Front Oncol. 2020 Oct 15;10:541281. doi: 10.3389/fonc.2020.541281. eCollection 2020.ABSTRACTBackground: REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using …

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Automatic segmentation using deep learning to enable online dose optimization during adaptive radiotherapy of cervical cancer

Int J Radiat Oncol Biol Phys. 2020 Nov 9:S0360-3016(20)34484-9. doi: 10.1016/j.ijrobp.2020.10.038. Online ahead of print.ABSTRACTPURPOSE: This study investigated deep learning models for automatic segmentation to support the development of daily online dose optimization strategies, eliminating the need for ITV expansions and thereby reducing toxicity events of IMRT …

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Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images

Sci Rep. 2020 Nov 12;10(1):19726. doi: 10.1038/s41598-020-74419-9.ABSTRACTA brain tumor is an uncontrolled growth of cancerous cells in the brain. Accurate segmentation and classification of tumors are critical for subsequent prognosis and treatment planning. This work proposes context aware deep learning for brain tumor segmentation, subtype classification, and overall …

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Don't miss our expert interview on the importance of model governance with @KPMG's @sanderklous. He explains why this is so important to #ethical and #responsibleAI. #ML #AI. Read it here: bit.ly/3iu7Mi1

Don't miss our expert interview on the importance of model governance with @KPMG's @sanderklous. He explains why this is so important to #ethical and #responsibleAI. #ML #AI. Read it here: bit.ly/3iu7Mi1

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There's a reason many #radiology clinics are jumping on the #AI bandwagon. Meet us at #RSNA20 to learn why! More info 👉 buff.ly/2UnN2P7

There's a reason many #radiology clinics are jumping on the #AI bandwagon. Meet us at #RSNA20 to learn why! More info 👉 buff.ly/2UnN2P7

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Greater #Montreal has a dynamic scientific community that includes the world’s largest concentration of academic researchers in #deeplearning. The presence of global leaders such as @googlecanada also contributes to the development of this unique ecosystem! #MTL #AI https://t.co/BWv10McF1q Quoted tweet from @googlecanada: A collaborative space: Did you know Google Canada is a strong supporter of the Canadian AI ecosystem donating to @VectorInst and @Mila_Quebec ? Read more here --> bit.ly/38FlCwI

Greater #Montreal has a dynamic scientific community that includes the world’s largest concentration of academic researchers in #deeplearning.The presence of global leaders such as @googlecanada also contributes to the development of this unique ecosystem!#MTL #AI https://t.co/BWv10McF1q Quoted tweet from @googlecanada: A collaborative …

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La pandémie de COVID-19 constitue un moment décisif pour l’IA : Yoshua Bengio @Mila_Quebec, codirecteur de programme du CIFAR, parle de la nécessité d’accroître la confiance dans l’IA éthique pour lutter contre cette pandémie et d’autres défis mondiaux ctvnews.ca/health/coronav…

La pandémie de COVID-19 constitue un moment décisif pour l’IA : Yoshua Bengio @Mila_Quebec, codirecteur de programme du CIFAR, parle de la nécessité d’accroître la confiance dans l’IA éthique pour lutter contre cette pandémie et d’autres défis mondiauxctvnews.ca/health/…

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The Machine Learning Behind Hum to Search

Posted by Christian Frank, Google Research, Zürich Melodies stuck in your head, often referred to as “earworms,” are a well-known and sometimes irritating phenomenon — once that earworm is there, it can be tough to get rid of it. Research has found that engaging with the original song, whether that’…

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L'IA au sein de l'entreprise est la cinquième révolution industrielle

Bien que l'IA soit adaptée aux entreprises, nombre d'entre elles ne parviennent pas à en tirer pleinement profit. Prendre soin des talents internes, …

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Covid-19: comment une intelligence artificielle anticipe les hospitalisations

Des chercheurs de l'Inria ont développé, en collaboration avec l'AP-HP, un algorithme capable de prédire l'évolution de l'épidémie du Covid-19 et des …

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L'intelligence artificielle aussi a besoin de faire la sieste !

Dormir est essentiel pour notre matière grise… mais aussi pour certains cerveaux artificiels !

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Robots, hologrammes et chatbots… les clients des banques sont-ils vraiment prêts ?

Dans le secteur bancaire, les intelligences artificielles permettent de mieux et plus rapidement comprendre et répondre aux besoins des clients. PxHere, CC BY-SALes intelligences artificielles (IA) prennent de plus en plus de place dans la relation client du secteur bancaire : déjà actives dans la lutte antifraude et l’…

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System brings deep learning to 'internet of things' devices

A new system brings machine learning to microcontrollers. The advance could enhance the function and security of devices connected to the Internet of Things (IoT).

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Epic makes Cleveland Clinic-devised COVID-19 risk model available in MyChart

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

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Google Cloud unveils AI tools to help healthcare analyze unstructured medical text

... two artificial intelligence tools designed to help healthcare and life science ... According to the company, the machine learning tool discerns clinically ... a range of health applications that support unstructured text, Google said. ... Healthcare IT News · Healthcare IT News Australia · Healthcare Finance ...

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KT signs MoU with Sibel Health to expand its digital health capabilities

KT signs MoU with Sibel Health to expand its digital health capabilities ... its competence in artificial intelligence (AI) and Big Data-based digital health. ... initial step to establishing a 5G smart hospital, Healthcare IT News reported.

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AI models from Mount Sinai can predict critical COVID-19 cases

Some experts have made the case that artificial intelligence had a somewhat ... But AI and machine learning have a big role to play in diagnosis and ... Watch to study COVID-19 stress and burnout among healthcare workers. ... for acute care prognosis and can be used by health institutions across the ...

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A Google Brain scientist turns to AI to make medicine more personal - STAT

A Google Brain scientist turns to AI to make medicine more personal STAT

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Meet us at #RSNA20 to learn how @NVIDIAAI and Zebra Medical Vision are bringing #AI to the enterprise 👉 buff.ly/2UnN2P7 #medicalimaging #radiology

Meet us at #RSNA20 to learn how @NVIDIAAI and Zebra Medical Vision are bringing #AI to the enterprise 👉 buff.ly/2UnN2P7#medicalimaging #radiology

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CIFAR retweeted: Comment concevoir une #IA éthique selon une approche autochtone ? Venez en discuter avec Jason Lewis (@Concordia) lors de la conférence virtuelle @iasociete/@CIFAR_News et réfléchir aux protocoles autochtones et à l’IA. 🗓 25 NOV 🕦 12:00 HE ℹ️+🎟 iasociete.ca/evenements/fut…

CIFAR retweeted: Comment concevoir une #IA éthique selon une approche autochtone ?Venez en discuter avec Jason Lewis (@Concordia) lors de la conférence virtuelle @iasociete/@CIFAR_News et réfléchir aux protocoles autochtones et à l’IA.🗓 25 NOV 🕦 12:00 HEℹ️+🎟 iasociete.ca/evenements/fut…

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