The Impact of Artificial Intelligence on Diagnosing Prostate Cancer: Review of the Literature and Preliminary Experience
During the last 10 years, we observed a progressive decrease of pathologists while the number of information released in a pathological report increased dramatically. The gap generated by these opposite trends is likely to be filled by Pathology 2.0 or e-Pathology. This latter rests on the transition from glass to digital slide (WSI) which in turn allow the use of specific software, mostly based on Artificial intelligence algorithm, fastening and improving the routine activity.
During this lecture, Prof. Luca Di Tommaso will focus on one of the settings where e-Pathology is ready to be introduced in the clinical practice: the screening and diagnosis of prostatic cancer in biopsy specimen.
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