Preksha Machaiya Kuppanda, Monika Janda, H Peter Soyer, Liam J Caffery
{"title":"What Are Patients' Perceptions and Attitudes Regarding the Use of Artificial Intelligence in Skin Cancer Screening and Diagnosis? Narrative Review.","authors":"Preksha Machaiya Kuppanda, Monika Janda, H Peter Soyer, Liam J Caffery","doi":"10.1016/j.jid.2025.01.013","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) could enable early diagnosis of skin cancer; however, how AI should be implemented in clinical practice is debated. This narrative literature review (16 studies; 2012-2024) explored patient perceptions of AI in skin cancer screening and diagnosis. Patients were generally positive and perceived AI to increase diagnostic speed and accuracy. Patients preferred AI to augment a dermatologist's diagnosis rather than replace it. Patients were concerned that AI could lead to privacy breaches and clinicians deskilling and threaten doctor-patient relationships. Findings also highlight the complex nature of the impact of demographic, quality, and functional attributes on patients' attitudes toward AI.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of investigative dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jid.2025.01.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) could enable early diagnosis of skin cancer; however, how AI should be implemented in clinical practice is debated. This narrative literature review (16 studies; 2012-2024) explored patient perceptions of AI in skin cancer screening and diagnosis. Patients were generally positive and perceived AI to increase diagnostic speed and accuracy. Patients preferred AI to augment a dermatologist's diagnosis rather than replace it. Patients were concerned that AI could lead to privacy breaches and clinicians deskilling and threaten doctor-patient relationships. Findings also highlight the complex nature of the impact of demographic, quality, and functional attributes on patients' attitudes toward AI.