Patients’ Trust in Artificial Intelligence–based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial
Abstract
Background Artificial intelligence (AI) has the potential to enhance diagnostic accuracy and improve treatment outcomes. However, AI integration into clinical workflows and patient perspectives remain unclear.Objective To determine patients' trust in AI and their perception of urologists relying on AI, and future diagnostic and therapeutic AI applications for patients.Design, setting, and participants A prospective trial was conducted involving patients who received diagnostic or therapeutic interventions for prostate cancer (PC).Intervention Patients were asked to complete a survey before magnetic resonance imaging, prostate biopsy, or radical prostatectomy.Outcome measurements and statistical analysis The primary outcome was patient trust in AI. Secondary outcomes were the choice of AI in treatment settings and traits attributed to AI and urologists.Results and limitations Data for 466 patients were analyzed. The cumulative affinity for technology was positively correlated with trust in AI (correlation coefficient 0.094; p = 0.04), whereas patient age, level of education, and subjective perception of illness were not (p > 0.05). The mean score (± standard deviation) for trust in capability was higher for physicians than for AI for responding in an individualized way when communicating a diagnosis (4.51 ± 0.76 vs 3.38 ± 1.07; mean difference [MD] 1.130, 95% confidence interval [CI] 1.010-1.250; t 924 = 18.52, p < 0.001; Cohen's d = 1.040) and for explaining information in an understandable way (4.57 ± vs 3.18 ± 1.09; MD 1.392, 95% CI 1.275-1.509; t 921 = 27.27, p < 0.001; Cohen's d = 1.216). Patients stated that they had higher trust in a diagnosis made by AI controlled by a physician versus AI not controlled by a physician (4.31 ± 0.88 vs 1.75 ± 0.93; MD 2.561, 95% CI 2.444-2.678; t 925 = 42.89, p < 0.001; Cohen's d = 2.818). AI-assisted physicians (66.74%) were preferred over physicians alone (29.61%), physicians controlled by AI (2.36%), and AI alone (0.64%) for treatment in the current clinical scenario.Conclusions Trust in future diagnostic and therapeutic AI-based treatment relies on optimal integration with urologists as the human-machine interface to leverage human and AI capabilities.Patient summary Artificial intelligence (AI) will play a role in diagnostic decisions in prostate cancer in the future. At present, patients prefer AI-assisted urologists over urologists alone, AI alone, and AI-controlled urologists. Specific traits of AI and urologists could be used to optimize diagnosis and treatment for patients with prostate cancer.
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While there are initial reports of patient engagement and satisfaction with AI being used in healthcare settings, the human component is still a crucial part of the process.
“While there are initial reports of patient engagement and satisfaction with AI being used in healthcare settings, the human component is still a crucial part of the process [127,128,129].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [127]
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- Authors
- Rodler, S., Kopliku, R., Ulrich, D., Kaltenhauser, A., Casuscelli, J., Eismann, L., Waidelich, R., Buchner, A., Butz, A., Cacciamani, G. E., Stief, C. G., & Westhofen, T.
- Affiliations
- University of Southern California (US)
- LMU Klinikum (DE)
- Ludwig-Maximilians-Universität München (DE)
- Corresponding author
- Rodler, Severin
- ORCID
- Venue
- European Urology Focus
- Publisher
- Elsevier BV
- Published
- 2024-07
- Volume
- 10
- Issue
- 4
- Pages
- 654-661
- ISSN
- 2405-4569 (ISSN-L)
- OpenAlex
- W4388115165
- Cited by
- 65
- References
- 35
- Citations by year
- 2026: 22 · 2025: 19 · 2024: 23
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Urology Focus (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, patient trust, localized prostate cancer, AI-assisted diagnosis, prostate biopsy, radical prostatectomy, magnetic resonance imaging, physician-AI collaboration, patient preferences, patient-physician communication, technology affinity, shared decision-making, patient satisfaction, patient-reported outcomes, urology, clinical implementation of AI
- MeSH terms
- Clinical Decision-Making, Aged, Artificial Intelligence, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Physician-Patient Relations, Prospective Studies, Prostatectomy, Prostatic Neoplasms, Trust
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