AI has become an integral part of our lives and often plays an outsized role in our health care. The increasingly human-like ...

Abstract: With the assistance of large language models, which offer universal medical prior knowledge via text prompts, state-of-the-art Universal Models (UM) have demonstrated considerable potential ...

Researchers at Baylor College of Medicine have discovered a natural mechanism that clears existing amyloid plaques in the brains of mouse models of Alzheimer’s disease and preserves cognitive function ...

WASHINGTON — Problems with the privately contracted disability exams veterans undergo to determine their benefits were the focus of a House Veterans’ Affairs subcommittee hearing Thursday that ...

Italy has a universal public health system, the National Health Service (Servizio Sanitario Nazionale [SSN]), widely considered high quality but currently under pressure due to a significant shortage ...

LLM-based virtual patients have begun to gain attention, offering new opportunities for simulations in medical education. Objective: This study aims to systematically analyze the current applications, ...

Background: Schizophrenia is a severe mental disorder with a significant impact on social functioning. Social disability is common in patients, requiring a reliable prediction model for early ...

Canada's life and health insurers are introducing a harmonized disability medical form aimed at speeding up access to benefits and reducing paperworks for physicians. The move replaces multiple ...

Objective: This study aimed to assess the performance of a locally deployed, state-of-the-art medical LLM in answering real-world clinical questions in radiation oncology compared with clinical ...

Objectives Aboriginal and Torres Strait Islander people living with disability have unequal access to health and disability support services. The impacts of colonialism and the deficit-based, Western ...

Abstract: Medical Visual Question Answering (Medical VQA) is an essential task that facilitates the automated interpretation of complex clinical imagery with corresponding textual questions, thereby ...