Department of Internal Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 300 Brookline Avenue, Boston, MA, USA.
Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, USA.
Gastroenterol Clin North Am. 2024 Dec;53(4):773-786. doi: 10.1016/j.gtc.2024.08.005. Epub 2024 Sep 23.
Recent advancements in artificial intelligence (AI) have significantly impacted the field of gastrointestinal (GI) endoscopy, with applications spanning a wide range of clinical indications. The central goals for AI in GI endoscopy are to improve endoscopic procedural performance and quality assessment, optimize patient outcomes, and reduce administrative burden. Despite early progress, such as Food and Drug Administration approval of the first computer-aided polyp detection system in 2021, there are numerous important challenges to be faced on the path toward broader adoption of AI algorithms in clinical endoscopic practice.
近年来,人工智能(AI)技术在胃肠内镜领域取得了重大进展,其应用涵盖了广泛的临床适应证。AI 在胃肠内镜中的主要目标是提高内镜操作性能和质量评估、优化患者结局并减轻管理负担。尽管已经取得了早期进展,例如 2021 年美国食品和药物管理局(FDA)批准了首个计算机辅助息肉检测系统,但在将 AI 算法更广泛地应用于临床内镜实践的道路上,仍有许多重要的挑战需要面对。