Large language models (LLMs) have shown promising capabilities across diverse domains, yet their application to complex clinical prediction tasks remains limited. In this study, we present CARE-AD (Collaborative Analysis and Risk Evaluation for Alzheimer’s…
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Preterm birth (PTB) significantly contributes to maternal and perinatal mortality and lifelong morbidity. While large language models (LLM) offer considerable potential for disease risk prediction and early detection, their application to PTB prediction using…
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Large language models (LLMs) used by English local authorities to support social workers may be introducing gender bias into care decisions, according to research from London School of Economics and Political Science (LSE).
The study,…
Secondary use of electronic health record notes enhances clinical outcomes and personalized medicine, but risks sensitive health information (SHI) exposure. Inconsistent time formats hinder interpretation, necessitating deidentification and temporal normalization. The SREDH/AI CUP 2023…
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Clinical evidence synthesis largely relies on systematic reviews (SR) of clinical studies from medical literature. Here, we propose a generative artificial intelligence (AI) pipeline named TrialMind to streamline study search, study screening, and data…
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OpenAI has announced changes to the way that ChatGPT interacts with users, following fears about the impact of AI chatbots on mental health.
Researchers have raised concerns that increasing numbers of people are using AI…
What You Should Know:
– A new study from the Icahn School of Medicine at Mount Sinai reveals that leading AI chatbots are highly susceptible to repeating and even elaborating on false medical information.
– However,…
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Are chatbots making clinicians lazy, or convincing us to place too much confidence in their diagnostic prowess?
By Paul Cerrato, MA, senior research analyst and communications specialist and John Halamka, M.D., Diercks President, Mayo Clinic…
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Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),…
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Stroke is a leading cause of global morbidity and mortality, disproportionately impacting lower socioeconomic groups. In this study, we evaluated three generative LLMs—GPT, Claude, and Gemini—across four stages of stroke care: prevention, diagnosis, treatment,…
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