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Patients' Trust in Artificial Intelligence-based Decision-making for Localized Prostate Cancer: Results from a
Severin Rodler1, Rega Kopliku2, Daniel Ulrich3
1Department of Urology, LMU University Hospital, Munich, Germany; USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
European Urology Focus
|November 3, 2023
Summary
Patients show a preference for AI-assisted urologists in prostate cancer care, trusting physicians more in diagnosis communication. Future AI integration requires a human-machine interface for optimal outcomes.
Area of Science:
- Urology
- Medical Artificial Intelligence
- Patient-Reported Outcomes
Background:
- Artificial intelligence (AI) offers potential for enhanced diagnostic accuracy and treatment outcomes in medicine.
- Patient perspectives and integration of AI into clinical workflows require further investigation.
Purpose of the Study:
- To assess patient trust in artificial intelligence (AI).
- To understand patient perceptions of urologists utilizing AI.
- To explore patient views on future AI applications in diagnostics and therapeutics.
Main Methods:
- Prospective trial involving 466 patients undergoing prostate cancer interventions.
- Survey administered before diagnostic or therapeutic procedures (MRI, biopsy, prostatectomy).
- Primary outcome: patient trust in AI; Secondary outcomes: AI treatment preferences and attributed traits.
Main Results:
- Technological affinity positively correlated with AI trust (p=0.04).
- Patients expressed higher trust in physicians than AI for individualized diagnosis communication and explanation (p<0.001).
- Patients preferred AI-assisted urologists (66.74%) over physicians alone, AI alone, or AI-controlled physicians for treatment.
Conclusions:
- Patient trust in AI-driven diagnostics and therapeutics is contingent on seamless integration with urologists.
- Optimizing the human-machine interface is crucial for leveraging combined human and AI capabilities.
- Identifying specific AI and urologist traits can enhance diagnosis and treatment for prostate cancer patients.
