4 AI applications for prostate-focused MRI

Variability in the quality and interpretation of multiparametric MRI (mpMRI) prostate scans is a problem that confronts radiologists. These exams can be difficult to interpret, particularly for those who aren't expert genitourinary radiologists.

Because mpMRI is widely used, radiology software developers have sought to improve and eliminate the drawbacks, especially to reduce the risk of errors for less skilled MRI readers and nonradiologists. Radiology resident programs may benefit most from AI's early advantages. If a large portion of students entering the field of radiology already had a comfortable relationship two years ago with how leveraging technology can augment patient care and quality, according to the American College of Radiology, the prospect of residents using AI has certainly gained momentum in 2024.

Whether AI is used as an educational tool for radiology residents or an AI model is applied to prostate MR imaging quality, cancer risk mapping, or as an aid to specialists outside of radiology, this article highlights four examples of how AI development has multiplied the options for prostate imaging, prostate tumor identification and quantification, and prostate cancer management.