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Melanoma, a highly aggressive form of skin cancer, is the second most common type of cancer for adolescent and young adult (AYA, ages 15-39 years) patients. AYA patients with melanoma may turn to internet sources, especially artificial intelligence (AI) chatbots, to manage uncertainty about prognosis and treatment.

DeepSeek, a biomedically enriched AI model, achieved the highest accuracy in generating PubMed citations for glaucoma research, outperforming general-purpose models and highlighting the necessity of human oversight to mitigate AI-related citation errors.

Artificial Intelligence (AI) chatbots are increasingly used in medicine, but their reliability in scenarios with multiple management options is unclear. Indeterminate thyroid nodules and low- to low-intermediate-risk papillary thyroid carcinoma (PTC) represent such cases.

To evaluate the performance of Large Language Models (LLMs) on optometry examination questions and compare their accuracy and readability with Bachelor of Optometry students.

SiC buried layers were snythesized by a metal vapor vacuum arc ion source,with C+ ions implanted into crystalline Si substrates.According to X-ray photoelectron spectroscopy,the characteristic electron energy loss spectra of the SiC buried layers were studied.It was found that the characteristic electron energy loss spectra depend on the profiles of the carbon content,and correlate well with the order of the buried layers.

Nearly 90% of Americans face health literacy challenges, limiting their ability to understand complex medical information. In plastic and reconstructive surgery, much of the literature exceeds recommended readability levels, creating barriers to patient education, including disparities-focused research. This study evaluated whether large language models (LLMs) can generate accurate and patient-accessible summaries of such research.