Large language models (LLMs) achieve high accuracy on final diagnosis but have poorer performance for generating differential ...

According to the study, current testing being done for AI and LLM’s work by assigning scores to its results. These results ...

Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...

Existing datasets for medical QA cannot comprehensively assess the proficiency of LLMs in pediatrics. To fill this problem, a ...

OpenAI on Monday released a large dataset for evaluating how well large language models answer questions related to health care. Experts lauded the open-source data and detailed evaluation rubrics, ...

Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers ...