Observational Study for Prostate Cancer Diagnosis Using AI
This study, called HIT-PIRADS, is developing a new way to diagnose prostate cancer using artificial intelligence (AI). The goal is to create a more accurate diagnosis method that can help reduce delays and potentially avoid invasive procedures like biopsies. Researchers will be looking at how many participants are found to have clinically significant prostate cancer (csPCa) between 2016 and 2026. You might be able to join if you are a man between 18 and 89 years old, have elevated PSA (prostate-specific antigen, a blood test marker) or an abnormal digital rectal exam, and have not had a prostate biopsy before. This study is observational, meaning researchers will be watching and collecting information rather than testing a specific treatment.
- Study design
- This is an observational study with a planned enrollment of 800 men. It is not testing a specific treatment or intervention.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Not specified.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Hybrid Intelligence for Trustable Diagnosis and Patient Management of Prostate Cancer (HIT-PIRADS)
At a glance
Conditions
Where it's being run
1 sites across 1 statesWho to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Number of Participants with detection of clinically significant prostate cancer (csPCa)01/01/2016-12/31/2026
csPCa is defined as PCa with a Gleason Grade Group of 2 through 5 found on prostate biopsy. Detection of csPCa will be compared for HITPIRADS vs. PIRADS v2.1 with a focus on suspicious lesions.