Background: We assessed the use of large language models (LLMs) like ChatGPT-3.5 and Gemini against human experts as sources of patient information.
Research Design And Methods: We compared the accuracy, completeness and quality of freely accessible, baseline, general-purpose LLM-generated responses to 20 frequently asked questions (FAQs) on liver disease, with those from two gastroenterologists, using the Kruskal-Wallis test.
Aim: To estimate prevalence and phenotypic associations of selected inflammatory bowel disease (IBD)-associated genetic variants among Sri Lankan patients.
Methods: A case study of histologically confirmed ulcerative colitis (UC) or Crohn's disease (CD) patients with ≥ 1 year disease duration, who were compared to unrelated, gender-matched, healthy individuals as controls, was conducted at four major centers in Sri Lanka. Phenotypic data of the cases were obtained and all participants were genotyped for 16 selected genetic variants: :, :, :, :, /:, :, :, :, :, /:, :, :, :, :, , , , :, , , and :.