Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

作者：Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park, Charles E. Kahn, for the CLAIM 2024 Update Panel, Sunhy Abbara, Saif Afat, Udunna Anazodo, Anna Andreychenko, Folkert W. Asselbergs, Aldo Badano, Bettina Baeßler, Bayarbaatar Bold, Sotirios Bisdas, Torkel B. Brismar, Giovanni Cacciamani, John A. Carrino, Julius Chapiro, Michael F. Chiang, Tessa S. Cook, Renato Cuocolo, John Damilakis, Roxana Daneshjou, Carlo N. De Cecco, Hesham Elhalawani, Guillermo Elizondo‐Riojas, Andrey Fedorov, Benjamin Fine, Adam E. Flanders, Judy Wawira Gichoya, Maryellen L. Giger, Safwan S. Halabi, Sven Haller, William Hsu, Krishna Juluru, Jayashree Kalpathy–Cramer, Apostolos H. Karantanas, Felipe Kitamura, Burak Koçak, Dow‐Mu Koh, Elmar Kotter, Elizabeth A. Krupinski, Curtis P. Langlotz, Cecilia S. Lee, Mario Maas, Anant Madabhushi, Lena Maier-Hein, Kostas Marias, Luis Martí‐Bonmatí, Jaishree Naidoo, Emanuele Neri, Robert Ochs, Nikolaos Papanikolaou, Thomas V. Papathomas, Katja Pinker, Daniel Santos, Fred Prior, Alexandros Protonotarios, Mauricio Reyes, Veronica Rotemberg, Jeffrey D. Rudie, Emmanuel Salinas-Miranda, Francesco Sardanelli, Mark E. Schweitzer, Luca Maria Sconfienza, Ronnie Sebro, Prateek Sharma, An Tang, Antonios Tzortzakakis, Jeroen van der Laak, Peter M. A. van Ooijen, Vasantha Kumar Venugopal, Jacob J. Visser, Bradford J. Wood, Carol C. Wu, Greg Zaharchuk, Marc Zins · 发表于：Radiology Artificial Intelligence · 年份：2024 · DOI：10.1148/ryai.240300 · 被引用次数：455 · 研究领域：Radiomics and Machine Learning in Medical Imaging、Artificial Intelligence in Healthcare and Education、AI in cancer detection

S ince its introduction, the Checklist for Artificial Intelli- gence in Medical Imaging (CLAIM) has sought to promote complete and consistent reporting of artificial intelligence (AI) science in medical imaging (1).CLAIM has been adopted widely in several medical specialties that involve imaging and AI; as of February 2024, PubMed identified 275 articles that cite the original guideline, and Google Scholar identified 608 citations.CLAIM is one of several reporting guidelines developed to address AI and medical imaging (2).Although not designed as a scoring system, some authors have applied it as such and have found variable adherence among published articles (3-6).Some authors have identified opportunities to improve the guideline, such as separating complex items in the original guideline and accommodating rapidly evolving techniques (7).The CLAIM Steering Committee sought to revise, improve, and formalize the guideline (8).The authors renewed CLAIM's registration with the Enhancing the Quality and Transparency of Health Research (EQUA-TOR) Network, an organization that promotes the use of reporting guidelines to improve health research (https://www.equator-network.org)(9,10).The CLAIM Steering Committee developed and conducted a formal Delphi consensus survey process to review the appropriateness and importance of existing checklist items and to identify new content to reflect current science in AI.The authors recruited 73 volunteers, including physicians from a variety of ...