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…
Continue Reading
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…
Continue Reading
Digital Health Networks have issued a statement cautioning medical professionals about the risks of using generative AI to create clinical notes and records.
The position statement warns that AI tools such as Chat GPT…
Recent advancements in large language models (LLMs) have created new ways to support radiological diagnostics. While both open-source and proprietary LLMs can address privacy concerns through local or cloud deployment, open-source models provide advantages…
Continue Reading
While many healthcare organizations are interested in adopting generative artificial intelligence tools, growing concerns around security, storage and cost leave some IT teams unsure where to begin.Nutanix offers healthcare organizations a streamlined, scalable path…
Continue Reading
This retrospective study evaluated the efficacy of large language models (LLMs) in improving the accuracy of Chinese ultrasound reports. Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories…
Continue Reading
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,…
Continue Reading
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…
Continue Reading
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,…
Continue Reading
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…
Continue Reading
