LLMs, Data Privacy, Patient Safety and Hallucinations Earlier this year, the World Health Organization released guidelines for the ethical use of LLMs and other AI in healthcare. WHO recognized the potential for LLMs while highlighting…
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The Coalition for Health AI publishes a draft framework for the responsible use of AI in healthcare and solicits public comment. CHAI also posted a draft document of Assurance Reporting Checklists for self-reporting and…
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In this systematic review, we compared the effectiveness of telehealth with in-person care during the pandemic using PubMed, CINAHL, PsycINFO, and the Cochrane Central Register of Controlled Trials from March 2020 to April 2023….
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Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital admission. However, in…
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Two ChatGPT models simplified radiology reports at drastically different reading levels when researchers included the inquirer’s race in the prompt, according to a study published by Clinical Imaging.Yale researchers asked GPT-3.5 and GPT-4 to…
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Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical practice is essential. Growing numbers of studies using AI for digital pathology have been reported over recent years. The aim of this work…
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Researchers from the University of Westminster; Kinsey Institute at Indiana University and Positive East looked at resources from the UK’s National Health Service and the World Health Organization to develop their community-driven approach for…
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By Shania Kennedy
April 29, 2024 – A research team from Mass General Brigham found that standard computational pathology models performed differently across demographic groups, but demonstrated that foundation models can partially mitigate these disparities, according…
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At HIMSS24 this past month, a new consortium of healthcare leaders announced the creation of the Trustworthy & Responsible AI Network, or TRAIN, which aims to operationalize responsible AI principles to improve the quality,…
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