Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art
Year: 2025
Type: article
Source: The Lancet Oncology
Authors: Benjamin H Kann, Arastoo Vossough, Sarah C Brüningk, Ariana M Familiar, Mariam Aboian, Marius George Linguraru, Kristen W Yeom, Susan M Chang, Darren Hargrave, David Mirsky, Phillip B Storm, Raymond Y Huang, Adam C Resnick, Michael Weller, Sabine Mueller, Michael Prados, Andrew C Peet, Javier E Villanueva-Meyer, Spyridon Bakas, Jason Fangusaro, Ali Nabavizadeh, Anahita Fathi Kazerooni
Institutions: Brigham and Women's Hospital, Boston Children's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Mass General Brigham, Children's Hospital of Philadelphia, Indiana University Indianapolis, Indiana University School of Medicine, University of Pennsylvania, University of Bern, University Hospital of Bern, Children's National, George Washington University, Sheikh Zayed Institute for Pediatric Surgical Innovation, Phoenix Children's Hospital, University of California, San Francisco, University College London, Children's Hospital Colorado, University of Colorado Denver, University of Zurich, University Hospital Zurich, Birmingham Children's Hospital, University of Birmingham, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University – Purdue University Indianapolis, Emory University, Children's Healthcare of Atlanta
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funder: National Cancer Institute
OpenAlex ID: W4415601719