Special Topic

Topic: Artificial Intelligence in Gastrointestinal and Metabolic-Bariatric Surgery: From Intelligent Diagnosis to Personalized Surgical Care

A Special Topic of Artificial Intelligence Surgery

ISSN 2771-0408 (Online)

Submission deadline: 30 Jun 2027

Guest Editors

Prof. Cunchuan Wang
Department of Gastrointestinal Surgery, Bariatric Surgery Center, Jinan University, Guangzhou, Guangdong, China.
Prof. Shuai Han
Deputy Chief Physician, Zhujiang Hospital, Southern Medical University, General Surgery, Guangzhou, Guangdong, China.
Dr. Zhiyong Dong
Guangdong Provincial People's Hospital,, Guangzhou, Guangdong, China.

Special Topic Introduction

Metabolic-bariatric diseases and gastrointestinal diseases represent major disease areas with high prevalence and substantial disease burdens in China. Their diagnosis and treatment often require multidisciplinary collaboration and long-term, comprehensive patient management. In recent years, artificial intelligence (AI) technologies have been rapidly integrated into the clinical practice of these two fields, demonstrating considerable potential in disease screening and diagnosis, medical imaging and endoscopic analysis, risk prediction, surgical planning, intraoperative navigation, treatment decision-making, and postoperative management.

 

Artificial intelligence (AI) is transforming gastroenterology and metabolic-bariatric surgery through advanced image analysis, intelligent surgical assistance, data-driven decision-making, and personalized patient care. The integration of AI with endoscopy, medical imaging, digital pathology, surgical video analysis, and multimodal clinical data provides new opportunities to improve diagnostic accuracy, optimize treatment strategies, and enhance surgical outcomes.

 

This Special Issue explores emerging applications of AI in gastrointestinal diseases and metabolic-bariatric surgery, including early cancer detection, inflammatory bowel disease assessment, precision oncology, surgical planning, robotic-assisted surgery, and postoperative management. Particular attention will be given to generative AI, large language models, multimodal foundation models, digital twins, and AI-enabled surgical technologies.

 

We welcome original research, reviews, perspectives, and methodological studies addressing clinical validation, real-world applications, model generalizability, interpretability, safety, and ethical considerations. By bringing together clinicians, surgeons, engineers, and AI researchers, this Special Issue aims to advance reliable and clinically applicable AI solutions that can support more precise diagnosis, personalized treatment, safer surgical practice, and improved long-term patient outcomes.

Keywords

Artificial intelligence, gastrointestinal diseases, metabolic-bariatric surgery, obesity, machine learning, generative ai, large language models, multimodal foundation models, surgical robotics, digital twins

Submission Deadline

30 Jun 2027

Submission Information

For Author Instructions, please refer to https://www.oaepublish.com/ais/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=ais&IssueId=ais26101310643
Submission Deadline: 30 Jun 2027
Contacts: Jing Liu, Assistant Editor, [email protected]

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Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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