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Generative Adversarial Networks in Medicine: Important Considerations for this Emerging Innovation in Artificial Intelligence.
Paladugu, Phani Srivatsav; Ong, Joshua; Nelson, Nicolas; Kamran, Sharif Amit; Waisberg, Ethan; Zaman, Nasif; Kumar, Rahul; Dias, Roger Daglius; Lee, Andrew Go; Tavakkoli, Alireza.
Affiliation
  • Paladugu PS; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Ong J; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
  • Nelson N; Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Kamran SA; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
  • Waisberg E; Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA.
  • Zaman N; University College Dublin School of Medicine, Belfield, Dublin, Ireland.
  • Kumar R; Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA.
  • Dias RD; University of Miami, Coral Gables, FL, USA.
  • Lee AG; Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA.
  • Tavakkoli A; STRATUS Center for Medical Simulation, Brigham and Women's Hospital, Boston, MA, USA.
Ann Biomed Eng ; 51(10): 2130-2142, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37488468
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Aspects: Ethics Language: En Journal: Ann Biomed Eng Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Aspects: Ethics Language: En Journal: Ann Biomed Eng Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States