BJUI compass · 2026
Lower trust in artificial intelligence than physicians coexists with high willingness to engage in artificial intelligence-assisted prostate cancer management among active surveillance patients.
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Chai Eric S, Abraham Kaitlynn, Hanes Riley, Williams Adam, Wolinsky Howard, Kryvenko Oleksandr N, Stoyanova Radka, Penedo Frank J, Khandekar Archan, Nahar Bruno, Gonzalgo Mark L, Parekh Dipen J, Punnen Sanoj
Аннотация
OBJECTIVES: This study aimed to examine the sentiment for artificial intelligence (AI) among prostate cancer (PCa) patients on active surveillance (AS) and to evaluate how that sentiment relates to patient willingness to engage with AI.
MATERIALS AND METHODS: We conducted a 23-question online survey (November-December 2025) distributed through an AS platform. Analyses were restricted to 110 respondents with PCa on AS. Outcomes included trust ratings (10-point Likert scale) for physicians versus AI, responses to hypothetical AI management recommendations and perceived concerns and facilitators of trust. Statistical analyses included the Wilcoxon signed-rank tests, the McNemar tests and Fisher's exact tests.
RESULTS: Median trust in urologists (8 [IQR 7-9]) exceeded that for AI (6 [IQR 5-7]), with smaller differences for radiologists and pathologists compared with diagnostic AI (all p ≤ 0.001). Despite lower trust in AI, most respondents anticipated improved PCa outcomes with AI integration. High willingness to consider AI recommendations was also observed. Only 4.6% (n = 5) of respondents outright rejected AI recommendation for treatment and only 3.7% (n = 4) rejected AI recommendation for AS, with all others willing to consider AI recommendations. No respondents fully accepted AI recommendation for treatment without additional verification, whereas 2.8% (n = 3) fully accepted AI recommendations for continued surveillance. Primary concerns included AI errors (57.3%) and lack of human oversight (48.2%).
CONCLUSIONS: Among AS patients, lower trust in AI compared to physicians coexists with a high optimism for AI and willingness to incorporate AI recommendations into decision-making. This discordance suggests that behavioural adoption of AI-assisted care may precede full patient confidence.
MATERIALS AND METHODS: We conducted a 23-question online survey (November-December 2025) distributed through an AS platform. Analyses were restricted to 110 respondents with PCa on AS. Outcomes included trust ratings (10-point Likert scale) for physicians versus AI, responses to hypothetical AI management recommendations and perceived concerns and facilitators of trust. Statistical analyses included the Wilcoxon signed-rank tests, the McNemar tests and Fisher's exact tests.
RESULTS: Median trust in urologists (8 [IQR 7-9]) exceeded that for AI (6 [IQR 5-7]), with smaller differences for radiologists and pathologists compared with diagnostic AI (all p ≤ 0.001). Despite lower trust in AI, most respondents anticipated improved PCa outcomes with AI integration. High willingness to consider AI recommendations was also observed. Only 4.6% (n = 5) of respondents outright rejected AI recommendation for treatment and only 3.7% (n = 4) rejected AI recommendation for AS, with all others willing to consider AI recommendations. No respondents fully accepted AI recommendation for treatment without additional verification, whereas 2.8% (n = 3) fully accepted AI recommendations for continued surveillance. Primary concerns included AI errors (57.3%) and lack of human oversight (48.2%).
CONCLUSIONS: Among AS patients, lower trust in AI compared to physicians coexists with a high optimism for AI and willingness to incorporate AI recommendations into decision-making. This discordance suggests that behavioural adoption of AI-assisted care may precede full patient confidence.