Results 161 to 170 of about 19,467 (300)

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Performance of multimodal large language models on image‐based surgical anatomy, anatomical pathology, and radiology questions

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley   +1 more source

A Framework for Anemia Differential Diagnosis in Paleopathology Incorporating Metric Methods. [PDF]

open access: yesAm J Biol Anthropol
Morgan B   +6 more
europepmc   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

open access: yesAnatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko   +26 more
wiley   +1 more source

Comparing the outcomes of the technology‐enhanced learning of sectional anatomy with and without preceding demonstrations: A study about the worked‐example effect in anatomy education

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The examination of anatomical cross‐sections can facilitate the understanding of spatial and clinical anatomy. Visualization technologies, with dynamic and interactive displays, can be used to learn sectional anatomy in a mostly self‐directed manner.
Guilherme Reis Borges Coelho Fonseca   +2 more
wiley   +1 more source

Exploring student perceptions of integrating mixed reality with cadaveric teaching in undergraduate neuroanatomy education: A qualitative study

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Mixed reality (MR) using head‐mounted displays provides three‐dimensional visualizations that have been suggested to enhance learning when used alongside conventional anatomy teaching in medical education. This study explored student perceptions of the integration of MR and traditional cadaveric learning, and their optimal delivery to support ...
Harpreet Kasbia   +12 more
wiley   +1 more source

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