De novo generation of colorectal patient educational materials using large language models: Prompt engineering key to improved readability.

Background: Improving patient education has been shown to improve clinical outcomes and reduce disparities, though such efforts can be labor intensive. Large language models may serve as an accessible method to improve patient educational material. The aim of this study was to compare readability between existing educational materials and those generated by large language models.

Preanalytical Phase Tumor Contaminants in Intraoperative Margins From Transoral Robotic Surgeries.

Context.—: Tumor contaminants were incidentally noted in frozen section margins of oropharyngeal squamous cell carcinoma.

Objective.