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Tag: GPT-4

Enhancing diagnostic capability with multi-agents conversational large language models

Enhancing diagnostic capability with multi-agents conversational large language models

March 13, 2025npj Digital Medicine

Large Language Models (LLMs) show promise in healthcare tasks but face challenges in complex medical scenarios. We developed a Multi-Agent Conversation (MAC) framework for disease diagnosis, inspired by clinical Multi-Disciplinary Team discussions. Using 302…

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Red teaming ChatGPT in medicine to yield real-world insights on model behavior

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

March 7, 2025npj Digital Medicine

Red teaming, the practice of adversarially exposing unexpected or undesired model behaviors, is critical towards improving equity and accuracy of large language models, but non-model creator-affiliated red teaming is scant in healthcare. We convened…

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Assessing and alleviating state anxiety in large language models

Assessing and alleviating state anxiety in large language models

March 3, 2025March 4, 2025npj Digital Medicine

The use of Large Language Models (LLMs) in mental health highlights the need to understand their responses to emotional content. Previous research shows that emotion-inducing prompts can elevate “anxiety” in LLMs, affecting behavior and…

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Towards evaluating and building versatile large language models for medicine

Towards evaluating and building versatile large language models for medicine

January 27, 2025January 27, 2025npj Digital Medicine

In this study, we present MedS-Bench, a comprehensive benchmark to evaluate large language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical tasks. We evaluate nine leading LLMs, e.g., MEDITRON, Llama 3, Mistral,…

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Aligning knowledge concepts to whole slide images for precise histopathology image analysis

Aligning knowledge concepts to whole slide images for precise histopathology image analysis

December 30, 2024December 30, 2024npj Digital Medicine

Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. However, previous studies only learn from training data, posing…

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Study: GPT-4 helps clinicians with physical exam guidance

Study: GPT-4 helps clinicians with physical exam guidance

December 20, 2024December 21, 2024MobiHealthNews

Researchers concluded that the strong performance of GPT-4 large language models (LLMs) suggests their potential as a tool to help fill gaps in physicians’ knowledge and aid in diagnosing medical conditions in the future,…

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Could AI Revolutionize the Physical Exam? Study Explores LLMs

Could AI Revolutionize the Physical Exam? Study Explores LLMs

December 20, 2024December 20, 2024HIT Consultant

Marc Succi, MD,  Founder and Executive Director of the MESH Incubator at Mass General

What You Should Know: 

– A new study published in the Journal of Medical Artificial Intelligence explores the potential of large language…

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Autonomous medical evaluation for guideline adherence of large language models

Autonomous medical evaluation for guideline adherence of large language models

December 12, 2024December 13, 2024npj Digital Medicine

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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A strategy for cost-effective large language model use at health system-scale

A strategy for cost-effective large language model use at health system-scale

November 18, 2024November 18, 2024npj Digital Medicine

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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Evaluation and mitigation of cognitive biases in medical language models

Evaluation and mitigation of cognitive biases in medical language models

October 21, 2024October 22, 2024npj Digital Medicine

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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