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Generative Adversarial Networks in Medicine: Important Considerations for this Emerging Innovation in Artificial Intelligence

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Year: 2023
Type: article
Source: Annals of Biomedical Engineering
DOI: 10.1007/s10439-023-03304-z
Authors: Phani Srivatsav Paladugu, Joshua Ong, Nicolas Nelson, Sharif Amit Kamran, Ethan Waisberg, Nasif Zaman, Rahul Kumar, Roger Daglius Dias, Andrew Go Lee, Alireza Tavakkoli
Institutions: Brigham and Women's Hospital, Harvard University, Thomas Jefferson University, University of Michigan, Michigan Medicine, University of Nevada, Reno, University College Dublin, University of Miami, University of Iowa, Houston Methodist, The University of Texas MD Anderson Cancer Center, Baylor College of Medicine, University of Iowa Hospitals and Clinics, Weill Cornell Medicine, The University of Texas Medical Branch at Galveston
Language: English

Topic: Artificial Intelligence in Healthcare and Education
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4385191145
FWCI: 3.17
Cites: 79
Cited by: 92
Related to: 10
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