Can AI solve radiologist’s most common challenges in prostate MRI?

In the past years, different research projects have been conducted in an effort to find a more efficient and accurate way of carrying out the clinical pathway for prostate cancer (PCa) diagnosis.

Thanks to the results of the PROMIS study, reported by The Lancet in 20171, which demonstrated how beneficial including a prostate MRI can be in the diagnostic process of PCa, organizations such as the EAU (European Association of Urology)2 and the ACR (American College of Radiology)3 changed their guidelines for PCa diagnosis to include the acquisition of an MRI pre-biopsy as a standard procedure.

Naturally, the number of prostate MRIs expected to be performed every year will exponentially increase. Which brings the radiology community to a crossroads: is it possible to maintain the quality of patient care taking into account this increase of workload?

The answer is yes, with the right strategy. The following blog will detail what challenges occur together with the increase in workload and how an Artificial Intelligence (AI) software solution for reading prostate MRI can help radiologists overcome the most frequent pain points in the field.

Découvrez la suite de l’article ICI

Source :