Large Language Models (LLMs) have rapidly evolved from text-based systems to
multimodal platforms, significantly impacting various sectors including healthcare. This …

Online self-diagnosis of psychiatric disorders by the general public is increasing. The
reasons for the increase include the expansion of Internet technologies and the use of social …

The absence of openly accessible data and specialized foundation models is a major barrier
for computational research in surgery. Toward this,(i) we open-source the largest dataset of …

Surgery requires comprehensive medical knowledge, visual assessment skills, and
procedural expertise. While recent surgical AI models have focused on solving task-specific …

The integration of large language models (LLMs) into the medical field has gained
significant attention due to their promising accuracy in simulated clinical decision-making …

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 …

Diagnosing and managing a patient is a complex, sequential decision making process that
requires physicians to obtain information--such as which tests to perform--and to act upon it …

Medical dialogue systems aim to provide medical services through patient-agent
conversations. Previous methods typically regard patients as ideal users, focusing mainly on …

The advancements in the development of Large Language Models have evolved as a
transformative paradigm in conversational tasks which has led to its integration in the critical …