Indian medical imaging AI company Qure.ai has developed a new AI-powered co-pilot for optimising resources in resource-constrained primary care settings.Called AIRA, this tool for community health workers is powered by large language models trained…
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By John Halamka and Paul Cerrato—Large language models like ChatGPT are finding their way into healthcare, business, and everyday life. The study of mechanistic interpretability may help us create safer, more trustworthy algorithms by…
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Generative artificial intelligence (GenAI) and large language models represent gains in educational efficiency and personalisation of learning. These are balanced against the considerations of the learning process, authentic assessment, and academic integrity. A pedagogical…
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New smart robots supporting logistics, safety, and patient experience have been unveiled at MacKay Memorial Hospital in Taiwan.The 1,200-bed private Christian hospital in Taipei has collaborated with cloud and AI technology provider Ubitus to…
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Extracting structured data from free-text medical records at scale is laborious, and traditional approaches struggle in complex clinical domains. We present a novel, end-to-end pipeline leveraging large language models (LLMs) for highly accurate information…
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Large language models like ChatGPT are finding their way into healthcare, business, and everyday life. The study of mechanistic interpretability may help us create safer, more trustworthy algorithms by “looking under the hood.”
By Paul…
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Detailed social determinants of health (SDoH) is often buried within clinical text in EHRs. Most current NLP efforts for SDoH have limitations, investigating limited factors, deriving data from a single institution, using specific patient…
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Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
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OpenAI launches HealthBench, a physician-developed benchmark that evaluates large language models on real-world medical decision-making. It uses 5,000 realistic clinical conversations to grade models on communication quality, instruction adherence, accuracy, context awareness, and…
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Integrating large language models (LLMs) into healthcare can enhance workflow efficiency and patient care by automating tasks such as summarising consultations. However, the fidelity between LLM outputs and ground truth information is vital to…
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