Continuing advances in Large Language Models (LLMs) are transforming medical knowledge access across education, training, and treatment. Early literature cautions their non-determinism, potential for harmful responses, and lack of quality control. To address these…
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Machine learning models trained on routine clinical data from electronic health records (EHRs) predicted diagnostic progression to schizophrenia or bipolar disorder in patients undergoing treatment in psychiatric services for other mental illnesses, according to…
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AI could help to prepare for the next global pandemic and save lives, according to global researchers.
The study, published in Nature on 20 February 2025, was carried out in partnership between scientists from Imperial College…
The Growing Opioid Crisis During COVID-19
The United States faced an intensifying drug crisis during the COVID-19 pandemic, with opioid-related deaths surging dramatically. Drug overdose fatalities increased from 91,799 in 2020 to 107,941 in 2022,…
Understanding the Eye Risk Concerns
Recent findings have raised alarming concerns about potential ophthalmic complications associated with popular diabetes medications semaglutide and tirzepatide. These incretin-based therapies, while highly effective for managing type 2 diabetes and…
This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precision health in osteoarthritis (OA) management and knee replacement (KR)…
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Understanding the Current Healthcare Security Landscape
The healthcare industry faces an unprecedented challenge in managing third-party data breaches, with recent studies revealing alarming statistics about security vulnerabilities. According to comprehensive research by Ponemon Institute and…
Extreme heat events lead to considerable health burden and are becoming more severe and frequent, calling for the development of effective population-based and individualised heat early warning systems. We developed an individualised heat early…
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A major dilemma facing operating rooms is that historically, no one was measuring time. Documentation takes up a huge part of a clinician’s day. And when it comes to the OR, that documentation also…
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As mental health disorders like Major Depressive Disorder and Generalized Anxiety Disorder rise globally, effective, scalable, and personalized treatments are urgently needed. This 16-week prospective, decentralized, randomized, waitlist-controlled study investigated the effectiveness of a…
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