Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial ...

Abstract: Deep learning has been extensively applied in medical image segmentation, providing significant support for disease diagnosis. However, traditional encoder-decoder networks struggle with ...

Abstract: Accurate detection and monitoring of children in medical settings using computer vision systems present unique challenges due to anatomical differences, environmental complexity, and ...

The architecture combines Unified Medical Language System semantic frameworks with asynchronous processing for efficient concept mapping, made available through an open-source implementation. Results: ...

In a small, rural corner of southeast Ohio, something transformational is happening. The area’s public schools are powering economic and community renewal deep in Appalachia. While much has been said ...

Onyejiaka is a writer, a medical student at the University of Minnesota Medical School and a graduate of the Johns Hopkins School of Public Health. During my third-year neurology rotation, I had ...

In a powerful fusion of AI and neuroscience, researchers at the University of California, San Francisco (UCSF) and Allen Institute designed an AI model that has created one of the most detailed maps ...

As Kenya marks this year’s World Teachers’ Day, innovative ways of training tools from teachers are setting the pace for the future of Competency-Based Education (CBE). Dorcas Wangui, a teacher at ...