TRAM-AI: A Framework for Transparency in Reporting of Medical Imaging Datasets for Artificial Intelligence Development
Year: 2026
Type: article
DOI: 10.1148/ryai.260538
Authors: Kartik Bose, Pankaj Gupta, Lisa Adams, Rupesh Agrawal, Mariam Aboian, Soumen Basu, Søren Brunak, Ken Chang, Linda C. Chu, Renato Cuocolo, Tugba Akinci D’Antonoli, Salvatore Claudio Fanni, Eduardo Moreno Judice de Mattos Farina, Anthony A Gatti, Satyam Ghodasara, Ricardo A. Gonzales, Amit Gupta, Katharina Hoebel, William Hsu, Zekun Jiang, Bardia Khosravi, Michail E Klontzas, Agklinta Kiosia, Neeraj Lalwani, Curtis Langlotz, Hoyeon Lee, Linda Moy, Debnath Pal, Iwan Paolucci, Cody Heath Savage, Krithika Rangarajan, Ronnie Sebro, Abhinav Suri, Ali Tejani, Shuncong Wang, Charles E. Kahn
Institutions: Post Graduate Institute of Medical Education and Research, TUM Klinikum, Technical University of Munich, National University of Singapore, Nanyang Technological University, Tan Tock Seng Hospital, SingHealth Duke-NUS Academic Medical Centre, Singapore Eye Research Institute, Duke-NUS Medical School, National Healthcare Group, Children's Hospital of Philadelphia, University of Pennsylvania, University of Copenhagen, Novo Nordisk Foundation, Stanford Medicine, Stanford University, Johns Hopkins University, University of Salerno, University Hospital of Basel, University Children’s Hospital Basel, University of Pisa, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Cleveland Clinic, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, All India Institute of Medical Sciences, University of California, Los Angeles, Sichuan University, West China Medical Center of Sichuan University, West China Hospital of Sichuan University, Yale University, University of Crete, Montefiore Medical Center, University of Hong Kong, New York University, Indian Institute of Science Bangalore, The University of Texas MD Anderson Cancer Center, University of Maryland Medical Center, University of California, San Francisco, University of Cambridge
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W7223090813