Article
An artificial intelligence model integrating clinico-laboratory data and single nucleotide polymorphism-based genomic risk for prostate cancer diagnosis in Korean men.
Investigative and clinical urology - 1 Jul 2026
Jung Jae Hung, Han Gong Ho, So Beomgi, Hong Myunghee, Ahn Si Hoon, Lim Sung Hyun, Han Soo Min, Park Hongzoo, Lee Sang Wook, Song Geehyun, Choi Sukjung, Chung Hyun Chul, Chung Hong, Kang Tae Wook, Eom Minseob, Koh Sang Baek, Kim Jeong Hyun
Abstract excerpt
PURPOSE: Prostate cancer (PCa) is traditionally diagnosed using prostate-specific antigen (PSA)-based testing together with demographic and clinical factors. Building on this framework, we aimed to develop an AI (artificial intelligence) model for prebiopsy PCa diagnosis by integrating Korean population-relevant risk-associated single nucleotide polymorphisms (SNPs) to improve diagnostic accuracy. MATERIALS AND...
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