MONDAY, July 22, 2024 -- A joint artificial intelligence (AI)-assisted model integrating clinical information and endoscopic ultrasonographic (EUS) images improves diagnosis of solid lesions in the pancreas, according to a study published online July 19 in JAMA Network Open.Haochen Cui, M.D., from Tongji Hospital in Wuhan, China, and colleagues developed a multimodal AI model integrating clinical information and EUS images to advance the clinical diagnosis of solid lesions in the pancreas.

2024年7月22日，星期一——根据7月19日在JAMA Network Open在线发布的一项研究，一种联合人工智能（AI）辅助的模型整合了临床信息和内镜超声（EUS）图像，可以改善胰腺实体病变的诊断。来自中国武汉同济医院的医学博士Haochen Cui及其同事开发了一种多模式AI模型，该模型整合了临床信息和EUS图像，以推进胰腺实性病变的临床诊断。

Twelve endoscopists from four centers were randomly assigned to diagnose solid lesions in the pancreas with or without AI assistance in a crossover trial conducted from Jan. 1 to June 30, 2023. EUS images and clinical information from 439 patients with solid lesions in the pancreas from one institution were obtained to train and validate the model; the robustness and generalizability of the model were then assessed in 189 patients from three external institutions.The researchers observed variation in the area under the curve of the joint-AI model from 0.996 in the internal test dataset to 0.955, 0.924, and 0.976 in the external datasets.

在2023年1月1日至6月30日进行的一项交叉试验中，来自四个中心的十二名内镜医师被随机分配在有或没有AI辅助的情况下诊断胰腺实性病变。获得了来自一家机构的439例胰腺实性病变患者的EUS图像和临床信息，以训练和验证模型；然后对来自三个外部机构的189名患者评估了该模型的稳健性和普遍性。研究人员观察到关节AI模型曲线下面积的变化，从内部测试数据集中的0.996到外部数据集中的0.955、0.924和0.976。

AI assistance significantly enhanced the diagnostic accuracy of novice endoscopists (0.69 versus 0.90), and the skepticism of the experienced endoscopists was alleviated by the supplementary interpretability information.'In the future, this joint-AI model, with its enhanced transparency in the decision-making process, has the potential to facilitate the diagnosis of solid lesions in the pancreas,' the authors write.Two authors are employed by Wuhan EndoAngel Medical Technology Co.Abstract/Full TextWhatever your topic of interest, subscribe to our newsletters to get the best of Drugs.com in your inbox..

AI协助显着提高了新手内镜医师的诊断准确性（0.69比0.90），并且补充的可解释性信息减轻了经验丰富的内镜医师的怀疑。”作者写道，未来，这种联合人工智能模型在决策过程中具有增强的透明度，有可能促进胰腺实体病变的诊断。武汉EndoAngel医疗技术有限公司聘请了两位作者。Abstract/Full text无论您感兴趣的主题是什么，请订阅我们的时事通讯，在您的收件箱中获得Drugs.com的最佳信息。。