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Artificial intelligence and urology: ethical considerations for urologists and patients.
Cacciamani, Giovanni E; Chen, Andrew; Gill, Inderbir S; Hung, Andrew J.
Affiliation
  • Cacciamani GE; The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. giovanni.cacciamani@med.usc.edu.
  • Chen A; AI Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA. giovanni.cacciamani@med.usc.edu.
  • Gill IS; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. giovanni.cacciamani@med.usc.edu.
  • Hung AJ; The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Nat Rev Urol ; 21(1): 50-59, 2024 01.
Article in En | MEDLINE | ID: mdl-37524914
ABSTRACT
The use of artificial intelligence (AI) in medicine and in urology specifically has increased over the past few years, during which time it has enabled optimization of patient workflow, increased diagnostic accuracy and enhanced computer analysis of radiological and pathological images. However, before further use of AI is undertaken, possible ethical issues need to be evaluated to improve understanding of this technology and to protect patients and providers. Possible ethical issues that require consideration when applying AI in clinical practice include patient safety, cybersecurity, transparency and interpretability of the data, inclusivity and equity, fostering responsibility and accountability, and the preservation of providers' decision-making and autonomy. Ethical principles for the application of AI to health care and in urology are proposed to guide urologists, patients and regulators to improve use of AI technologies and guide policy-making.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urology / Artificial Intelligence Type of study: Prognostic_studies Aspects: Ethics Limits: Humans Language: En Journal: Nat Rev Urol Journal subject: UROLOGIA Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urology / Artificial Intelligence Type of study: Prognostic_studies Aspects: Ethics Limits: Humans Language: En Journal: Nat Rev Urol Journal subject: UROLOGIA Year: 2024 Document type: Article Affiliation country: United States