首页|Guilin University of Aerospace Technology Reports Findings in Artificial Intelligence (Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence)
Guilin University of Aerospace Technology Reports Findings in Artificial Intelligence (Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence)
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New research on Artificial Intelligence is the subject of a report. According to news reporting from Guilin, People’s Republic of China, by NewsRx journalists, research stated, “The prediction of patient disease risk via computed tomography (CT) images and artificial intelligence techniques shows great potential. However, training a robust artificial intelligence model typically requires large-scale data support.” The news correspondents obtained a quote from the research from the Guilin University of Aerospace Technology, “In practice, the collection of medical data faces obstacles related to privacy protection. Therefore, the present study aims to establish a robust federated learning model to overcome the data island problem and identify high-risk patients with postoperative gastric cancer recurrence in a multicentre, cross-institution setting, thereby enabling robust treatment with significant value. In the present study, we collect data from four independent medical institutions for experimentation. The robust federated learning model algorithm yields area under the receiver operating characteristic curve (AUC) values of 0.710, 0.798, 0.809, and 0.869 across four data centres.” According to the news reporters, the research concluded: “Additionally, the effectiveness of the algorithm is evaluated, and both adaptive and common features are identified through analysis.”
GuilinPeople’s Republic of ChinaAsiaArtificial IntelligenceCancerEmerging TechnologiesGastric CancerGastroenterologyHealth and MedicineMachine LearningOncologyRisk and Prevention
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