Digital pathology (DP) increasingly entering routine clinical pathology diagnostics, which provides easier, more accurate, and faster results. In light of advances in digitizing routine caseloads, using digital image analysis (DIA) algorithms and artificial intelligence (AI) tools becomes not only feasible, but desirable. Advances in precision medicine are being made in cancer as a result of this. In addition to providing diagnostic quality, high-resolution images of entire glass slides, automated whole slide imaging scanners (WSI Scanners) have become available, and when combined with advanced DP tools, images can now be integrated into all aspects of pathology reporting, including anatomical, clinical, and molecular pathology. It has been approved by the US Food and Drug Administration for use in primary surgical pathology diagnosis, opening the door to wider application of this technology in routine surgical pathology, the prostate AI algorithm, which will pave the way for the use of this exciting technology in primary diagnosis. Anatomical and clinical pathology workflows can benefit from AI tools. Our review describes landmark trials and milestones in using AI in clinical pathology and discusses the direction it is going in the future.

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