The Treatment Experiences of Vegetarians and Vegans with an Eating Disorder: A Qualitative Study.

Background: Vegetarianism and veganism have long been tied to disordered eating and are frequently considered to be methods of limiting available food choices. Health professionals specializing in eating disorder treatment may modify their treatment practices to support their vegetarian or vegan clients. However, there are no formally recognized clinical guidelines for the treatment of eating disorders in these groups.

Surveillance in inflammatory bowel disease: white light endoscopy with segmental re-inspection versus dye-based chromoendoscopy - a multi-arm randomised controlled trial (HELIOS).

Background: It remains unclear if the increased colorectal neoplasia detection rate in inflammatory bowel disease (IBD) by high-definition (HD) dye-based chromoendoscopy compared with HD white-light endoscopy is due to enhanced contrast or increased inspection times. Longer withdrawal times may yield similar neoplasia detection rates as found by HD chromoendoscopy.

Objective: To compare colorectal neoplasia detection rates for HD white-light endoscopy with segmental re-inspection and HD chromoendoscopy, using single-pass HD white-light endoscopy as an additional control group.

Revolutionising Faculty Development and Continuing Medical Education Through AI-Generated Videos.

Producing high-quality and engaging educational videos for continuing medical education (CME) is traditionally time-consuming and costly. Generative AI tools have shown promise in creating synthetic videos that mimic traditional lecture videos. We conducted a comparative analysis of four AI video generation platforms HeyGen, Synthesia, Colossyan, and HourOne using the Kano model.

Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis.

Background: Despite the implementation of prevention strategies, family violence continues to be a prevalent issue worldwide. Current strategies to reduce family violence have demonstrated mixed success and innovative approaches are needed urgently to prevent the occurrence of family violence. Incorporating artificial intelligence (AI) into prevention strategies is gaining research attention, particularly the use of textual or voice signal data to detect individuals at risk of perpetrating family violence.