Investigation of an Intelligent Centre-adaptive Multi-modal Fusion Framework (Cad- MMFF) to Overcome Unnecessary Prostate Biopsies and Optimize MRI Utilization
Approximately 400 Chinese men aged 50 years or above with suspected prostate cancer will be included.The study consists of retrospective model development and prospective model optimization and validation. Two AI models will be developed: a Clinical-US model using clinical and ultrasound data, and a Clinical-US-MRI model incorporating MRI information. The optimized models will subsequently be validated in an independent cohort.
Age
45–any
Sex
MALE
Healthy volunteers
Not accepted
You may be eligible if
Ethnically Chinese men aged ≥ 50
Suspicion of PCa \[elevated PSA (\>4-ng/ml) or abnormal DRE/PHI\] and indicated for prostate biopsy
Clareo Health | Investigation of an Intelligent Centre-adaptive Multi-modal Fusion Framework (Cad- MMFF) to Overcome Unnecessary Prostate Biopsies and Optimize MRI Utilization
