This study investigates how a physician’s use of generative AI (GenAI) in medical decision‑making is perceived by peer clinicians. In a randomized experiment, 276 practicing clinicians evaluated one of three vignettes depicting a physician:…
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Current studies regarding the secondary use of electronic health records (EHR) predominantly rely on domain expertise and existing medical knowledge. A powerful representation approach can unleash the potential of discovering new medical patterns underlying…
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This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrated superior performance…
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AI Enhanced Firewalls, Alert Fatigue and Staffing ChallengesNext-generation firewalls paired with AI can help organizations strengthen their security posture while reducing workloads for cybersecurity professionals. AI-powered tools from organizations such as Fortinet, Juniper Networks,…
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What You Should Know:
– Flatiron Health, a leading healthtech company dedicated to improving cancer care and advancing research using real-world data (RWD), today announced that its international oncology research network has tripled in size…
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This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. From 2003 to 2017, data from 833 knees were analyzed….
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Background: Pain fluctuations are common in chronic musculoskeletal conditions, with periods of increased pain severity, known as pain flares, often occurring alongside worsening disease activity. These painful episodes can lead to significant impacts, including…
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Q2 Hospital Transaction Overview
Hospital dealmaking experienced a significant slowdown during the second quarter of 2025, with healthcare M&A activity reaching historically low levels. According to a comprehensive report from Kaufman Hall, only eight hospital…
Identifying clusters of people with similar patterns of Multiple Long-Term Conditions (MLTC) could help healthcare services to tailor care. In this population-based study, we developed a pipeline incorporating a DeBERTa language model to generate…
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Pathologic myopia is a leading cause of visual impairment and blindness. While deep learning-based approaches aid in recognizing pathologic myopia using color fundus photography, they often rely on implicit patterns that lack clinical interpretability….
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