Abstract: With the increasing population in India and the limited availability of medical professionals, time efficiency in diagnosis and prescription generation has become crucial. This paper ...
Background: Mental health is emerging as an increasingly prevalent public issue globally. There is an urgent need in mental health for efficient detection methods, effective treatments, affordable ...
Large language models (LLM) have achieved impressive performance on medical question-answering benchmarks. However, high benchmark accuracy does not imply that the performance generalizes to ...
Words reflecting diversity language have appeared less frequently in grants awarded by the National Institutes of Health (NIH) since the 2024 US presidential election, with a 25% relative decrease ...
Abstract: NAS can find better solutions by exploring the vast search space for possible architectures and is widely used in medical AI. However, due to its black-box nature, explainability is ...
A key Republican senator is demanding that a major medical organization explain how it helps set industry payment rates, adding urgency to a growing political fight over how doctors are reimbursed.
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