While large language models (LLMs) hold promise for transforming clinical healthcare, current comparisons and benchmark evaluations of large language models in medicine often fail to capture real-world efficacy. Specifically, we highlight how key discrepancies…
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Recent advances in unbiased metagenomic next-generation sequencing (mNGS) enable simultaneous examination of microbial and host genetic material. We developed a multimodal machine learning-based diagnostic approach to differentiate lung cancer and pulmonary infections by analyzing…
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What You Should Know:
– A new report from the Center for Connected Medicine (CCM) at UPMC and KLAS Research outlines how health systems are reevaluating and expanding their ambulatory care strategies in response to…
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Therapeutic toxicity, which can be life-threatening, presents a major challenge in treating patients with acute myeloid leukemia (AML). Medical digital twins, which are virtual representations of patient disease, have the potential to forecast disease…
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Multimodal smartphone sensor data provide rich insights into real-world behavioural patterns associated with anxiety and depression symptoms. We propose that variability in daily routines across life aspects may act as a personalised digital marker,…
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Dr. Danielle Kelvas, MD, the Founder and Chief Medical Editor of DKMD Consulting joins eHealth Radio and the Health News and Technology Channels. Dr. Kelvas tackles the pressing question: Will AI replace medical providers…
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Skin tone assessments are critical for fairness evaluation in healthcare algorithms (e.g., pulse oximetry) but lack validation. Using prospectively collected facial images from 90 hospitalized adults at the San Francisco VA, three independent annotators…
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Remote photoplethysmography (rPPG) is gaining traction for non-contact heart rate estimation, yet most publicly available datasets are demographically biased. In this study, we analyze 100 rPPG studies, providing the first quantitative cross-model audit of…
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Ophthalmology, an early adopter of medical artificial intelligence (AI), has made significant advancements, but ethical discussions limited. This bibliometric analysis reviewed 498 publications from Web of Science and Scopus (2000–2023) to explore the evolution,…
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The integration of generative AI (GenAI) in patient communication presents benefits and challenges. This retrospective observational study analyzed EHR audit logs to assess how 75 healthcare professionals (HCPs) utilized AI-generated drafts for patient messages…
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