The Permanente Medical Group this week announced the new Kaiser Permanente Northern California Division of Research Augmented Intelligence in Medicine and Healthcare Initiative Coordinating Center, or AIM-HI.KP is also making $3 million in new…
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The following is a guest article by Deepak Singh, MBA, MS, Product Manager at Teladoc Health. This article represents Singh’s thoughts and don’t necessarily represent the views of Teladoc Health.
The rapid development of Artificial…
The adoption of AI in clinical settings has increased exponentially over the past decade, but AI models still haven’t achieved the level of ubiquity that they could within the sector.
A few years ago, a…
The Radiological Society of North America (RSNA) organized the RSNA Screening Mammography Breast Cancer Detection AI Challenge to foster the development of AI models that accurately detect breast cancer. With participation from nearly 1,700…
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Theja Birur, Chief Technology Officer & Founder, 4L Data IntelligenceIn 2020, the Department of Justice estimated that fraudulent, wasteful, and abusive (FWA) billing practices account for more than $100 billion of the nation’s healthcare…
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What happens when ChatGPT-4 and a human cardiologist are asked to diagnose the same patient? The results are quite revealing.
By Paul Cerrato, senior research analyst and communications specialist, Mayo Clinic Platform, and John Halamka,…
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The University of Adelaide, The Queen Elizabeth Hospital, and the Health and Information Collaborative have created a tool that uses AI algorithms to predict when general surgery patients are about to be discharged. The…
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What You Should Know:MultiPlan, a provider of data-enabled cost management, payment, and revenue integrity solutions for 700+ healthcare payors announced the acquisition of Benefits Science LLC (BST) for $160M in cash and stock.BST was…
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A new AI-based tool in South Australia can accurately predict when a general surgery patient is about to be discharged from the hospital.Called the Adelaide Score, it was developed by a team of researchers…
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The generalizability of predictive algorithms is of key relevance to application in clinical practice. We provide an overview of three types of generalizability, based on existing literature: temporal, geographical, and domain generalizability. These generalizability…
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