Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer.

Autor: Zhu M; Department of Computational Pathology, NovinoAI 1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA., Sali R; Department of Computational Pathology, NovinoAI 1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA.; Department of Radiation Oncology, Stanford University School of Medicine Stanford, CA 94305, USA., Baba F; Department of Computational Pathology, NovinoAI 1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA., Khasawneh H; King Hussein School of Computing Sciences, Princess Sumaya University for Technology Amman 11855, Jordan., Ryndin M; College of Agriculture and Life Sciences, Cornell University 616 Thurston Ave, Ithaca, NY 14853, USA., Leveillee RJ; Department of Surgery, Florida Atlantic University, Division of Urology, Bethesda Hospital East, Baptist Health South Florida 2800 S. Seacrest Drive, Boynton Beach, FL 33435, USA., Hurwitz MD; Department of Radiation Medicine, New York Medical College and Westchester Medical Center Valhalla, NY 10595, USA., Lui K; Department of Urology, Mount Sinai Hospital New York, NY 10029, USA., Dixon C; Department of Urology, Good Samaritan Hospital, Westchester Medical Center Health Network Suffern, NY 10901, USA., Zhang DY; Department of Computational Pathology, NovinoAI 1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA.; Pathology and Laboratory Services, Department of Veterans Affairs New York Harbor Healthcare System New York, NY 10010, USA.

Publikováno v: American journal of clinical and experimental urology [Am J Clin Exp Urol] 2024 Aug 25; Vol. 12 (4), pp. 200-215. Date of Electronic Publication: 2024 Aug 25 (Print Publication: 2024).