{"title":"Artificial Intelligence Technologies for Managing High-Risk Patients With Immune-Related Adverse Events and Optimizing Timing","authors":"Fangjie Liu MD, Hui Li MD","doi":"10.1016/j.jtho.2024.08.004","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":"20 3","pages":"Pages e47-e48"},"PeriodicalIF":21.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thoracic Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1556086424007597","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
期刊介绍:
Journal of Thoracic Oncology (JTO), the official journal of the International Association for the Study of Lung Cancer,is the primary educational and informational publication for topics relevant to the prevention, detection, diagnosis, and treatment of all thoracic malignancies.The readship includes epidemiologists, medical oncologists, radiation oncologists, thoracic surgeons, pulmonologists, radiologists, pathologists, nuclear medicine physicians, and research scientists with a special interest in thoracic oncology.