Department of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Curr Gastroenterol Rep. 2024 Nov;26(11):304-309. doi: 10.1007/s11894-024-00942-8. Epub 2024 Aug 12.
In this review, we aim to summarize the existing literature and future directions on the use of artificial intelligence (AI) for the diagnosis and treatment of PB (pancreaticobiliary) disorders. RECENT FINDINGS: AI models have been developed to aid in the diagnosis and management of PB disorders such as pancreatic adenocarcinoma (PDAC), pancreatic neuroendocrine tumors (pNETs), acute pancreatitis, chronic pancreatitis, autoimmune pancreatitis, choledocholithiasis, indeterminate biliary strictures, cholangiocarcinoma and endoscopic procedures such as ERCP, EUS, and cholangioscopy. Recent studies have integrated radiological, endoscopic and pathological data to develop models to aid in better detection and prognostication of these disorders. AI is an indispensable proponent in the future practice of medicine. It has been extensively studied and approved for use in the detection of colonic polyps. AI models based on clinical, laboratory, and radiomics have been developed to aid in the diagnosis and management of various PB disorders and its application is ever expanding. Despite promising results, these AI-based models need further external validation to be clinically applicable.
在这篇综述中，我们旨在总结目前关于人工智能（AI）在胰胆（PB）疾病的诊断和治疗中的应用的文献和未来方向。
已经开发出 AI 模型来辅助胰腺导管腺癌（PDAC）、胰腺神经内分泌肿瘤（pNETs）、急性胰腺炎、慢性胰腺炎、自身免疫性胰腺炎、胆总管结石、不确定的胆道狭窄、胆管癌和内镜程序（如 ERCP、EUS 和胆管镜检查）等 PB 疾病的诊断和管理。最近的研究整合了影像学、内镜和病理学数据，开发了模型来帮助更好地检测和预测这些疾病。AI 是未来医学实践中不可或缺的支持者。它已经在结直肠息肉的检测中得到广泛研究和认可。基于临床、实验室和放射组学的 AI 模型已被开发出来，以辅助各种 PB 疾病的诊断和管理，其应用正在不断扩大。尽管取得了有希望的结果，但这些基于 AI 的模型仍需要进一步的外部验证才能在临床上应用。
