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Digital Health Reviews (3938) Clinical Information and Decision Making (3975) mHealth for Data Collection and Research (1808) mHealth in a Clinical Setting (1247) Decision Support for Health Professionals (2409) Innovations and Technology in Cancer Care (720) Imaging Informatics (528) Artificial Intelligence (5136)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98520, first published .
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Imaging-Based AI for Predicting Pathological Complete Response in Esophageal Cancer After Neoadjuvant Therapy: Systematic Review and Meta-Analysis

Imaging-Based AI for Predicting Pathological Complete Response in Esophageal Cancer After Neoadjuvant Therapy: Systematic Review and Meta-Analysis

Authors of this article:

Zhiwei Li1 Author Orcid Image ;   Xin Gao1 Author Orcid Image ;   Jing Zhou1 Author Orcid Image ;   Lei Wang1 Author Orcid Image ;   Fuqiang Ren1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zhiwei Li   1 , MMed ;   Xin Gao   1 , MMed ;   Jing Zhou   1 , MMed ;   Lei Wang   1 , BMed ;   Fuqiang Ren   1 , MD

1 Department of Thoracic Surgery, Chengdu Sixth People’s Hospital, Chengdu, Sichuan, China

Corresponding Author:

  • Fuqiang Ren, MD
  • Department of Thoracic Surgery
  • Chengdu Sixth People’s Hospital
  • No. 369 Quanshui Road, Jinniu District
  • Chengdu, Sichuan 610051
  • China
  • Phone: +86 18980017366
  • Email: caoguizhe@163.com