How Do Clinicians Feel about Ambient Listening?By and large, clinical users — including but not limited to physicians, nurses, physician assistants, residents and medical students — look favorably on ambient listening technology.
A New England…
This study evaluates multimodal AI models’ accuracy and responsiveness in answering NEJM Image Challenge questions, juxtaposed with human collective intelligence, underscoring AI’s potential and current limitations in clinical diagnostics. Anthropic’s Claude 3 family demonstrated…
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The increasing prevalence of myopia worldwide presents a significant public health challenge. A key strategy to combat myopia is with early detection and prediction in children as such examination allows for effective intervention using…
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What You Should Know: – Phenomix Sciences, a precision medicine biotechnology company, released findings from a new survey revealing a growing demand for personalized obesity care. – The survey of 475 patients explored attitudes…
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Cleveland Clinic and the Novo Nordisk Foundation have announced a new academic partnership focusing on leading-edge IT research and its clinical applications. The three-year opportunity is aimed at early-stage researchers working at the intersection…
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A digital HIV PrEP service has launched in East Sussex, giving users access to necessary tests and preventative medication for HIV without having to visit a clinic.
The free service, which went live on 6…
Artificial intelligence (AI) is making significant strides in healthcare, and KLAS has been diving deep into this topic, conducting research both independently and with industry partners. Our goal is to understand and share how…
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More than 44 million people battle food insecurity in the U.S. In addition, about half of American adults have a preventable chronic disease, and many are related to poor quality eating patterns. Due to…
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The adoption of machine learning (ML) and, more specifically, deep learning (DL) applications into all major areas of our lives is underway. The development of trustworthy AI is especially important in medicine due to…
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We studied clinical AI-supported decision-making as an example of a high-stakes setting in which explainable AI (XAI) has been proposed as useful (by theoretically providing physicians with context for the AI suggestion and thereby…
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