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Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
Published on: June 10, 2025
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Patient Perspectives on Trust in Artificial Intelligence-Powered Tools in Prostate Cancer Diagnostics.
Simon Aleksander Berger1, Erna Håland1, Marit Solbjør2
1Department of Education and Lifelong Learning, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Qualitative Health Research
|November 18, 2025
Summary
Patient trust in artificial intelligence (AI) for prostate cancer diagnostics hinges on healthcare professionals. Trust in doctors is essential for accepting AI tools, emphasizing the need for human oversight and clear communication.
Area of Science:
- Oncology
- Medical Informatics
- Sociology of Health
Background:
- Prostate cancer diagnosis is increasing, necessitating improved diagnostic pathways and patient care.
- Artificial intelligence (AI) tools show promise for streamlining prostate cancer diagnostics.
- Limited understanding exists regarding patient perceptions and experiences with AI in healthcare settings.
Purpose of the Study:
- To investigate how patients diagnosed with prostate cancer via an AI-powered tool express trust in AI.
- To explore the factors influencing patient acceptance of AI in diagnostic processes.
Main Methods:
- Conducted 18 semi-structured qualitative interviews with men diagnosed using AI-supported tools.
- Analyzed interview data using reflexive thematic analysis to identify dimensions of trust.
Main Results:
- Identified three dimensions of trust: foundational trust in healthcare systems/professionals, interpersonal trust mediating AI acceptance, and a demand for human oversight.
- Patients prioritized human expertise for explaining, justifying, and endorsing AI.
- Concerns about accountability and AI's lack of intuition highlighted the need for human oversight and second opinions.
- Patients showed more leniency towards human errors than AI errors, underscoring relational and moral trust aspects.
Conclusions:
- Trust in healthcare professionals is paramount for patient acceptance of AI in prostate cancer diagnostics.
- Human relationships critically shape patient engagement with AI technologies.
- The sociotechnical context of care delivery is vital for understanding patient trust in AI.
Keywords:
Norwayartificial intelligencedoctor–patient communicationpatient safetyprostate cancer diagnosticsqualitative interviewsreflexive thematic analysistrustusers’ experiences
