Menu
Back to AI and Diagnosis
03/01/26

Patient perspectives on trust in artificial intelligence-powered tools in prostate cancer diagnostics.

Berger, Simon Aleksander; Håland, Erna; Solbjør, Marit. Qual Health Res.

Collection Topics
AI and Diagnosis Big Three Conditions Tests, Screening, and Laboratory Processes
Share

Most recent

Primary care signals and diagnostic pathways before incident heart failure: a systematic scoping review.

Jerjes, El-Osta, Jhass, et al., J Prim Care Community Health.
09/09/26 Big Three Conditions Culture, Work System, and Implementation Epidemiology

Emergency department revisit quality review screening: exploring human decision-making and artificial intelligence support.

Handler, Robles-Granda, Mefford, et al., arXiv
09/09/26 AI and Diagnosis Measurement, Monitoring, and Event Analysis

A five-phase evaluation framework for diagnostic and predictive medical artificial intelligence.

Ye, Chen, Huang, et al., NPJ Digit Med.
09/03/26 AI and Diagnosis

Summary

AI holds potential to optimize prostate cancer diagnostics, yet knowledge on how patients feel about these technologies is limited. This Norwegian qualitative study interviewed 18 men with low-grade prostate cancer, who ranged in educational background, employment, and age, about trust in AI-powered prostate cancer diagnostics. Findings reveal three themes: foundational trust in the healthcare system built from prior experience, interpersonal trust with professionals as the gateway to AI acceptance, and recognition of AI's diagnostic potential, tempered by concerns over accountability and AI's limited intuition.
Read the paper
Berger SA, Håland E, Solbjør M. Patient perspectives on trust in artificial intelligence-powered tools in prostate cancer diagnostics. Qual Health Res. 2026;36(2-3):276-288.