Background: Early treatment is critical to improve eating disorder prognosis. Single session interventions have been proposed as a strategy to provide short term support to people on waitlists for eating disorder treatment, however, it is not always possible to access this early intervention. Conversational artificial intelligence agents or "chatbots" reflect a unique opportunity to attempt to fill this gap in service provision.
View Article and Find Full Text PDFThe mental health field, and more recently, the eating disorders field specifically, has witnessed a paradigm shift towards collaborative research which is conducted in partnership with individuals possessing lived and living experiences of mental health conditions (i.e. those with personal lived or living experience and those who are family, carers, or other supports).
View Article and Find Full Text PDFBackground: 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.
View Article and Find Full Text PDFBackground: 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.
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.
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