Clinical Evidence Generation of AI Enabled Fast, Accurate and Precise Screening and Staging of Benign vs Malignant Pelvic Abnormalities
Mayo Clinic
Summary
This study evaluates whether newly developed non-FDA approved image processing techniques \[Adaptive Image Reconstruction (AIR Recon) Deep Learning (DL) and Sonic DL\] can provide improved quality and decreased time compared to current scanning techniques.
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: * Patient over the age of 18 * For prostate group, any patient referred for prostate MR for screening purposes with no prior prostate related treatment or prior biopsy * For endometriosis group, any patient referred for possible endometriosis evaluation (pre-surgical) Exclusion Criteria: * Individuals unable to undergo MRI imaging (MR-conditional or MR-nonconditional devices which would need additional procedures/conditions for scanning, pregnant people, individuals with implanted metal, etc.) * Patient under the age of 18 * Patient who is unable to consent
Interventions
- OtherNon-Interventional Study
Non-interventional study
Location
- Mayo Clinic in RochesterRochester, Minnesota