Acceptability of Artificial Intelligence in the Diagnosis of Prostate Cancer
NCT07074405 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 51
Last updated 2026-03-27
Summary
This study investigates the acceptability of artificial intelligence (AI) as a diagnostic support tool among patients with localized prostate cancer and healthcare providers, as well as their willingness to share health data for AI development.
Background AI tools in healthcare show promising potential, especially in improving diagnosis accuracy and personalizing treatment. However, successful implementation depends not only on technical performance but also on the acceptability of AI among its users-both patients and professionals. Prior research has shown varied acceptability depending on context, disease severity, task performed by AI, and user population.
Objectives Assess patients' acceptability of AI as a diagnostic support in prostate cancer.
Explore patients' willingness to share health data for developing clinical AI.
Assess healthcare providers' acceptability of AI in this diagnostic context.
Methodology Design: A cross-sectional, mixed-method, multinational study (Belgium, Italy, Spain).
Quantitative Phase: Online questionnaire, using adapted theoretical frameworks (Value Perception Model, NASSS-AI, TFA).
Qualitative Phase: Will follow based on quantitative findings.
Participants: Adults diagnosed with localized prostate cancer. Recruitment via hospitals, social media, and patient associations.
Data Collected: Personal and health information, attitudes toward AI, willingness to share data.
Ethics Approved by ethics committees in each participating country.
Informed consent obtained digitally before participation.
Data anonymized and GDPR-compliant.
Conditions
Interventions
- OTHER
-
Questionnaire and Physical Exam
This is an online questionnaire that the patients fill in
Sponsors & Collaborators
-
Centre Hospitalier Universitaire de Liege
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- MALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-12-02
- Primary Completion
- 2025-12-31
- Completion
- 2025-12-31
Countries
- Belgium
Study Locations
More Related Trials
-
Artificial Intelligence & Prostate Cancer
NCT06298305 ·Status: COMPLETED
-
Artificial Intelligence (AI)-Assisted Risk-based Prostate Cancer Detection
NCT05443412 ·Status: RECRUITING
-
Prospective Validation of Pathology-based Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in Prostate Cancer
NCT06253065 ·Status: COMPLETED
-
Evaluation of the PROSTia Test in Patients Undergoing Prostate Biopsy
NCT06931496 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge
NCT05489341 ·Status: COMPLETED
-
Study of Predicting Lymph Node Metastasis of High-risk Prostate Cancer by Artificial Intelligence Multi-omics Analysis
NCT07112599 ·Status: RECRUITING
-
Assessment of Prostate MRI Before Prostate Biopsies
NCT02485379 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence-based Platform, Integrating Pathologic, Imaging and Molecular Profiles of Prostate Cancer
NCT06468332 ·Status: RECRUITING
-
A Clinical Evaluation of AI Solutions Developed in the CHAIMELEON Project for Cancer: Prostate, Lung, Breast, Colon and Rectum
NCT06950996 ·Status: COMPLETED
-
Immuno-molecular Approaches for Non-invasive Diagnosis of Prostate Cancer
NCT04702633 ·Status: COMPLETED
-
Prospective Prostate Cancer and Patient-reported Outcomes Registry
NCT04694924 ·Status: RECRUITING
-
An AI Platform Integrating Imaging Data and Models, Supporting Precision Care Through Prostate Cancer's Continuum
NCT05384002 ·Status: COMPLETED
-
The Application of Multimodal Artificial Intelligence Systems in Prostate Cancer Diagnosis and Prognosis Analysis
NCT06589154 ·Status: COMPLETED
-
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
NCT04765150 ·Status: RECRUITING
-
Development of Artificial Intelligence Models for Segmentation and Characterization of Prostate Cancer: a Single-center Retrospective Observational Study.
NCT06168864 ·Status: COMPLETED
-
Prostate Biopsies With Target Lesion on MRI
NCT04692207 ·Status: COMPLETED
-
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
NCT06773598 ·Status: RECRUITING
-
Conducting Active Surveillance Without Prostate Biopsy for Patients With Low-risk Suspected Prostate Cancer
NCT05940415 ·Status: RECRUITING
-
STUDY OF PREFERENCES IN MEN FACED WITH THE DIFFERENT TREATMENT OPTIONS FOR LOCALIZED PROSTRATE CANCER WITH A GOOD OR INTERMEDIATE PROGNOSIS
NCT02080793 ·Status: COMPLETED ·Phase: NA
-
MRI-targeted Biopsy of the Prostate: Software Versus Visual Registration in the Accuracy of Prostate Cancer Detection
NCT03819751 ·Status: RECRUITING ·Phase: NA
-
European Multicenter Validation of PCaVision: A Head-to-Head Diagnostic Accuracy Study Comparing Multiparametric Transrectal Ultrasound to MRI for Clinically Significant Prostate Cancer Detection
NCT06935487 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Deep Learning for Prostate Segmentation
NCT04191980 ·Status: UNKNOWN
-
The Efficacy of Mapping for Cognitive Prostate Biopsy
NCT05902637 ·Status: COMPLETED ·Phase: NA
-
Threedimensional Multiparametric Ultrasound for Prostate Cancer Detection
NCT04605276 ·Status: COMPLETED
-
Imperial Prostate 6 - Cancer Histology Artificial Intelligence Reliability Study.
NCT05228197 ·Status: ACTIVE_NOT_RECRUITING