Artificial intelligence-aided detection for prostate cancer with multi-modal routine health check-up data: an Asian multi-center study.

ABSTRACT:

Background

The early detection of high-grade prostate cancer (HGPCa) is of great importance. However, the current detection strategies result in a high rate of negative biopsies and high medical costs. In this study, we aimed to establish an Asian Prostate Cancer Artificial intelligence (APCA) score with no extra cost other than routine health check-ups to predict the risk of HGPCa.

Patients and methods

A total of 7476 patients with routine health checkup data who underwent prostate biopsies from January 2008 to December 2021 in eight referral centers in Asia were screened. After data pre-processing and cleaning, 5037 patients and 117 features were analyzed. Seven AI-based algorithms were tested for feature selection and seven AI-based algorithms were tested for classificati

SUBMITTER: Song Z 

PROVIDER: S-EPMC10720852 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature