Work

Consent and Identifiability for Patient Images in Research, Education, and Image-Based Artificial Intelligence

Year: 2024

Type: article

Abstract: This survey study reports the perspectives and preferences of US adults regarding use of photographs of their skin in medical research, education, and development of image-based artificial intelligence (AI).

Source: JAMA Dermatology

DOI: 10.1001/jamadermatol.2024.0084

Authors: Trina Salvador, Lilly Gu, Jennifer L. Hay, Nicholas R. Kurtansky, Ruth Masterson-Creber, Allan C. Halpern, Veronica Rotemberg

Institutions: Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine, Columbia University

Language: English

Topic: Ethics in Clinical Research

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Cancer Institute

Award: Cancer Center Support Grant

OpenAlex ID: W4392748617

FWCI: 2.887

Cites: 6

Cited by: 7

Related to: 10