Foundation models are becoming valuable tools in medicine. Yet despite their promise, the
best way to leverage Large Language Models (LLMs) in complex medical tasks remains an …

Automatic disease diagnosis has become increasingly valuable in clinical practice. The
advent of large language models (LLMs) has catalyzed a paradigm shift in artificial …

Chat-based language models are designed to be helpful, yet they should not comply with
every user request. While most existing work primarily focuses on refusal of" unsafe" …

In the face of uncertainty, the ability to* seek information* is of fundamental importance. In
many practical applications, such as medical diagnosis and troubleshooting, the information …

The increased capabilities of generative AI have dramatically expanded its possible use
cases in medicine. We provide a comprehensive overview of generative AI use cases for …

Online medical consultation (OMC) restricts doctors to gathering patient information solely
through inquiries, making the already complex sequential decision-making process of …

The current generation of large language models (LLMs) is typically designed for broad,
general-purpose applications, while domain-specific LLMs, especially in vertical fields like …

Large Language Models (LLMs) have attained human-level accuracy on medical question-
answer (QA) benchmarks. However, their limitations in navigating open-ended clinical …

Enhancing the reasoning capabilities of Large Language Models remains a critical
challenge in artificial intelligence. We introduce RDoLT, Recursive Decomposition of Logical …

Background: Despite the current ubiquity of Large Language Models (LLMs) across the
medical domain, there is a surprising lack of studies which address their reasoning …