Autonomous Medical Evaluation for Guideline Adherence (AMEGA) is a comprehensive benchmark designed to evaluate large language models’ adherence to medical guidelines across 20 diagnostic scenarios spanning 13 specialties. It includes an evaluation framework and…
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Large language models (LLMs) can optimize clinical workflows; however, the economic and computational challenges of their utilization at the health system scale are underexplored. We evaluated how concatenating queries with multiple clinical notes and…
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Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However, these exams do not capture the complexity of real patient–doctor interactions…
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What You Should Know:
– Fair Square Medicare, a technology company building the next generation of software solutions for Medicare companies, today unveiled Vox, a groundbreaking generative AI platform that transforms customer experience for Medicare carriers…
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This study evaluates multimodal AI models’ accuracy and responsiveness in answering NEJM Image Challenge questions, juxtaposed with human collective intelligence, underscoring AI’s potential and current limitations in clinical diagnostics. Anthropic’s Claude 3 family demonstrated…
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What You Should Know: – Brightside Health, a telemental health company released research demonstrating the potential of large language models (LLM) in predicting mental health crises. – The study, published in JMIR Mental Health,…
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Introduction
The Dana-Farber Cancer Institute (DFCI) has taken significant strides in integrating large language models (LLMs) into its operations, focusing on non-clinical applications. This initiative, led by Renato Umeton, the Director of AI Operations and…
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily focused on the accuracy of multi-choice questions alone. Our study extends the…
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A new study that pitted six humans, OpenAI’s GPT-4 and Anthropic’s Claude3-Opus to evaluate which of them can answer medical questions most accurately found that flesh and blood still beat out artificial intelligence.
Both…
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What You Should Know: – Kahun, a company specializing in evidence-based clinical AI, has released a new study comparing the medical capabilities of popular large language models (LLMs) to human experts. – The findings…
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