دورية أكاديمية

Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology.

التفاصيل البيبلوغرافية
العنوان: Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology.
المؤلفون: Leggett, Cadman L, Parasa, Sravanthi, Repici, Alessandro, Berzin, Tyler M, Gross, Seth A, Sharma, Prateek
المصدر: Articles, Abstracts, and Reports
بيانات النشر: Providence Digital Commons
سنة النشر: 2024
المجموعة: Providence St. Joseph Health Digital Commons
مصطلحات موضوعية: Male, Humans, Middle Aged, Female, Gastroenterology, Artificial Intelligence, Physicians, Gastroenterologists, Benchmarking, washington, swedish, Artificial Intelligence and Robotics
الوصف: BACKGROUND AND AIMS: The use of artificial intelligence (AI) has transformative implications to the practice of gastroenterology and endoscopy. The aims of this study were to understand the perceptions of the gastroenterology community toward AI and to identify potential barriers for adoption. METHODS: A 16-question online survey exploring perceptions on the current and future implications of AI to the field of gastroenterology was developed by the American Society for Gastrointestinal Endoscopy AI Task Force and distributed to national and international society members. Participant demographic information including age, sex, experience level, and practice setting was collected. Descriptive statistics were used to summarize survey findings, and a Pearson χ RESULTS: Of 10,162 invited gastroenterologists, 374 completed the survey. The mean age of participants was 46 years (standard deviation, 12), and 299 participants (80.0%) were men. One hundred seventy-nine participants (47.9%) had >10 years of practice experience, with nearly half working in the community setting. Only 25 participants (6.7%) reported the current use of AI in their clinical practice. Most participants (95.5%) believed that AI solutions will have a positive impact in their practice. One hundred seventy-six participants (47.1%) believed that AI will make clinical duties more technical but will also ease the burden of the electronic medical record (54.0%). The top 3 areas where AI was predicted to be most influential were endoscopic lesion detection (65.3%), endoscopic lesion characterization (65.8%), and quality metrics (32.6%). Participants voiced a desire for education on topics such as the clinical use of AI applications (64.4%), the advantages and limitations of AI applications (57.0%), and the technical methodology of AI (44.7%). Most participants (42.8%) expressed that the cost of AI implementation should be covered by their hospital. Demographic characteristics significantly associated with this perception included participants' years ...
نوع الوثيقة: text
اللغة: unknown
العلاقة: https://digitalcommons.providence.org/publications/8604Test; https://pubmed.ncbi.nlm.nih.gov/38416097Test/
الإتاحة: https://digitalcommons.providence.org/publications/8604Test
https://pubmed.ncbi.nlm.nih.gov/38416097Test/
رقم الانضمام: edsbas.764C5236
قاعدة البيانات: BASE