This paper is in the following e-collection/theme issue:

Information and Patient Education on Healthy Aging (38) AI in Older Adult Care (32) Social and Cultural Drivers of Health in Aging Populations (1) Artificial Intelligence (1698) Machine Learning (1714) Digital Biomarkers and Digital Phenotyping (226)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64473, first published .
Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Authors of this article:

Chang-Uk Jeong1 Author Orcid Image ;   Jacob S Leiby1 Author Orcid Image ;   Dokyoon Kim1, 2 Author Orcid Image ;   Eun Kyung Choe3, 4 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Chang-Uk Jeong   1 * , BS ;   Jacob S Leiby   1 * , PhD ;   Dokyoon Kim   1, 2 , PhD ;   Eun Kyung Choe   3, 4 , MD, PhD

1 Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA

3 Department of Surgery, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea

4 Department of Surgery, College of Medicine, Seoul National University, Seoul, South Korea

*these authors contributed equally

Corresponding Author:

  • Eun Kyung Choe, MD, PhD
  • Department of Surgery
  • Seoul National University Hospital Healthcare System Gangnam Center
  • 38-40FL Gangnam Finance Center(prior Star Tower) 152, Teheran-ro, Gangnam-gu
  • Seoul, 06236
  • Republic of Korea
  • Phone: 82 221125500
  • Email: snuhcr@naver.com