Objective: This study aimed to assess the impact of a model shift on ML-based prediction models by evaluating 3 different use cases—delirium, sepsis, and acute kidney injury (AKI)—from 2 hospitals (M ...
Search engines transformed health information access, and LLMs offer a new avenue for answering laypeople’s questions. Objective: We aimed to compare the frequency of use and attitudes toward LLMs and ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
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