Publication Name	World Journal of Gastroenterology
Manuscript ID	109802
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Multimodal artificial intelligence technology in the precision diagnosis and treatment of gastroenterology and hepatology:Innovative applications and challenges
Manuscript Source	Invited Manuscript
All Author List	Yi-Mao Wu, Fei-Yang Tang and Zi-Xin Qi
Funding Agency and Grant Number
Corresponding Author	Yi-Mao Wu, Academic Fellow, The Second Clinical Medical College, Guangdong Medical University, No. 1 Xincheng Avenue, Songshan Lake District, Dongguan 523808, Guangdong Province, China. wuyimao_doctor@gdmu.edu.cn
Key Words	Artificial intelligence; Multimodal data; Gastroenterology; Hepatology; Precision medicine; Challenges and countermeasures
Core Tip	1. Introduction 2. Application of multimodal AI technology in gastroenterology 2.1 Precise diagnosis and treatment of gastrointestinal tumors 2.1.1 AI analysis of endoscopic images 2.1.2 AI quantitative analysis of ultrasound/CT/MRI imaging 2.1.3 AI-assisted diagnosis of pathological sections 2.1.4 AI technology for biomarker identification 2.1.5 Multi-omics data integration 2.2 Management of functional gastrointestinal disorders 2.3 Decision support for the treatment of gastrointestinal diseases 2.3.1 AI-driven drug development 2.3.2 Prediction of AI response to immunotherapy in gastroenterology 2.3.3 AI predicts the recurrence of gastrointestinal cancer after treatment 3. Innovation of multimodal AI technology in hepatology 3.1 Diagnosis and staging of liver diseases 3.1.1 AI quantitative analysis of ultrasound/CT/MRI imaging 3.1.2 Blood test indicators and image data fusion modeling 3.1.3 AI-assisted diagnosis of pathological sections 3.1.4 Multi-omics data integration 3.2 Decision support for liver disease treatment 3.2.1 AI system for donor matching in liver transplantation 3.2.2 Prediction of AI immunotherapy response in liver disease 3.2.3 AI prediction of HCC recurrence after treatment 4. Key challenges of multimodal AI technology 4.1 Data standardization and sharing problem 4.2 Bottleneck of technology validation and clinical transformation 5. Future development direction 6. Conclusion Abbreviations References
Citation	Wu YM, Tang FY, Qi ZX. Multimodal artificial intelligence technology in the precision diagnosis and treatment of gastroenterology and hepatology: Innovative applications and challenges. World J Gastroenterol 2025; In press

Received	2025-05-22 09:22
Peer-Review Started	2025-05-22 09:23
To Make the First Decision
Return for Revision	2025-06-10 08:38
Revised	2025-06-22 07:22
Second Decision	2025-08-26 02:38
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-08-26 07:33
Articles in Press	2025-08-26 07:33
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ISSN	1007-9327 (print) and 2219-2840 (online)
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