Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	123187
DOI	10.4251/wjgo.123187
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Establishment and validation of a multimodal model using deep learning for the recognition of early colorectal cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Wei-Hua Dong, Xin Ling, Xiao-Dong Chen, Jia-Ping Qian, Ying Jin and Yi-Jie Gu
Funding Agency and Grant Number	Funding Agency Grant Number Youth Scientific Research Foundation of the Ninth People's Hospital of Suzhou YK202405 and YK202506
Corresponding Author	Yi-Jie Gu, Department of Gastroenterology, Suzhou Ninth People's Hospital, No. 2666 Lvdang Road, Wujiang District, Suzhou 215000, Jiangsu Province, China. guyijie1997@163.com
Key Words	Early colorectal cancer; Deep learning; Ensemble learning; Multimodal model; White-light endoscopy; Computer-aided diagnosis
Core Tip	We developed and validated a multimodal model combining clinical variables (lesion length and location) with an ensemble deep learning prediction from three convolutional neural networks (VGG19, ResNet50, and InceptionV3) to distinguish non-cancerous lesions from early colorectal cancer using only white-light endoscopic images. The model achieved a sensitivity of 0.80, specificity of 0.94, and area under the curve of 0.95 in the validation set, outperforming both junior and senior endoscopists in specificity and accuracy. This practical, hardware-independent approach offers a promising tool to assist endoscopists in improving early cancer detection during routine colonoscopy.
Citation	Dong WH, Ling X, Chen XD, Qian JP, Jin Y, Gu YJ. Establishment and validation of a multimodal model using deep learning for the recognition of early colorectal cancer. World J Gastrointest Oncol 2026; In press DOI: https://doi.org/10.4251/wjgo.123187
PDF	123187-in-press.pdf

Received	2026-05-11 05:52
Peer-Review Started	2026-05-11 05:54
First Decision by Editorial Office Director
Return for Revision	2026-07-08 05:27
Revised	2026-07-21 18:31
Publication Fee Transferred	2026-08-01 13:39
Second Decision by Editor	2026-09-23 02:47
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-23 08:59
Articles in Press	2026-09-23 08:59
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5204 (online)
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