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

Cost-Effectiveness and Economics (366) New Methods (1153) Colon and Rectal Cancer (51) Innovations and Technology for Cancer Prevention and Screening (207) AI Applications in Public Health (33) Artificial Intelligence (2248) Medical imaging (122) Gastroenterology and Hepatology (140) Innovations in Cancer Diagnostic and Decision Support (117)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67762, first published .
The Cost-Effectiveness of AI-Assisted Colonoscopy as a Primary or Secondary Screening Test in a Population-Based Colorectal Cancer Screening Program: Markov Modeling–Based Cost Effectiveness Analysis

The Cost-Effectiveness of AI-Assisted Colonoscopy as a Primary or Secondary Screening Test in a Population-Based Colorectal Cancer Screening Program: Markov Modeling–Based Cost Effectiveness Analysis

The Cost-Effectiveness of AI-Assisted Colonoscopy as a Primary or Secondary Screening Test in a Population-Based Colorectal Cancer Screening Program: Markov Modeling–Based Cost Effectiveness Analysis

Authors of this article:

Martin CS Wong1, 2, 3, 4, 5 Author Orcid Image ;   Junjie Huang1, 5 Author Orcid Image ;   Thomas YT Lam6 Author Orcid Image ;   Louis HS Lau7 Author Orcid Image ;   Philip WY Chiu8 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Seo J. The Use of Artificial Intelligence in Colorectal Cancer Risk Prediction Models: A Review. Journal of Digestive Cancer Research 2025;13(3):224 View
  2. Sood D, Dadwal S, Jain S, Mazhar I, Goyal B, Garapati C, Patel S, Riaz Z, Buzaboon N, Mendiratta A, Kaur A, Mohan A, Yerrapragada G, Elangovan P, Shariff M, Natarajan T, Janarthanan J, Agarwal S, Jerold Wilson S, Ghosh A, Karuppiah S, Agarwal J, Gopalakrishnan K, Rapolu S, Akshintala V, Arunachalam S. Prospective of Colorectal Cancer Screening, Diagnosis, and Treatment Management Using Bowel Sounds Leveraging Artificial Intelligence. Cancers 2026;18(2):340 View