Patient Attitudes Toward Artificial Intelligence in Cancer Care: A Scoping Review DOI Creative Commons

Daniel Hilbers,

Navid Nekain,

Alan Bates

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Abstract PURPOSE To synthesize existing literature on patient attitudes toward AI in cancer care and identify knowledge gaps that can inform future research clinical implementation. DESIGN A scoping review was conducted following PRISMA-ScR guidelines. MEDLINE, EMBASE, PsycINFO, CINAHL were searched for peer-reviewed primary studies published until February 1, 2025. The Population-Concept-Context framework guided study selection, focusing adult patients with their AI. Studies quantitative or qualitative data included. Two independent reviewers screened studies, a third resolving disagreements. Data synthesized into tabular narrative summaries. RESULTS Our search yielded 1,240 citations, of which 19 met the inclusion criteria, representing 2,114 across 15 countries. Most used methods (n=9) such as questionnaires surveys. most studied cancers prostate, melanoma, breast, colorectal cancer. While generally supported when physician-guided tool, concerns about depersonalization, treatment bias, security highlighted challenges Trust shaped by physician endorsement familiarity, greater trust physician-guided. Geographic differences observed, acceptance Asia, while skepticism more prevalent North America Europe. Additionally, metastatic underrepresented, limiting insights perceptions this population. CONCLUSION This provides first synthesis all types highlights unique to Clinicians use these findings enhance positioning it tool ensuring its integration aligns values expectations.

Язык: Английский

Patient Attitudes Toward Artificial Intelligence in Cancer Care: A Scoping Review DOI Creative Commons

Daniel Hilbers,

Navid Nekain,

Alan Bates

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Abstract PURPOSE To synthesize existing literature on patient attitudes toward AI in cancer care and identify knowledge gaps that can inform future research clinical implementation. DESIGN A scoping review was conducted following PRISMA-ScR guidelines. MEDLINE, EMBASE, PsycINFO, CINAHL were searched for peer-reviewed primary studies published until February 1, 2025. The Population-Concept-Context framework guided study selection, focusing adult patients with their AI. Studies quantitative or qualitative data included. Two independent reviewers screened studies, a third resolving disagreements. Data synthesized into tabular narrative summaries. RESULTS Our search yielded 1,240 citations, of which 19 met the inclusion criteria, representing 2,114 across 15 countries. Most used methods (n=9) such as questionnaires surveys. most studied cancers prostate, melanoma, breast, colorectal cancer. While generally supported when physician-guided tool, concerns about depersonalization, treatment bias, security highlighted challenges Trust shaped by physician endorsement familiarity, greater trust physician-guided. Geographic differences observed, acceptance Asia, while skepticism more prevalent North America Europe. Additionally, metastatic underrepresented, limiting insights perceptions this population. CONCLUSION This provides first synthesis all types highlights unique to Clinicians use these findings enhance positioning it tool ensuring its integration aligns values expectations.

Язык: Английский

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