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Article Collection: Artificial Intelligence in Gastroenterology
The integration of artificial intelligence (AI) into gastroenterology is revolutionizing the field, offering unprecedented advancements in diagnosis, treatment, and patient management. This collection of peer-reviewed articles, entitled "Artificial Intelligence in Gastroenterology", delves into the multifaceted applications of AI across various gastrointestinal conditions and procedures.
The selected articles showcase the transformative impact of AI across a broad spectrum of applications in gastroenterology. From early cancer detection and polyp identification to clinical evaluations of AI tools, articles highlight the precision and efficiency that AI brings to endoscopic procedures. The collection also addresses the current status and challenges of colorectal cancer diagnosis and treatment, the role of AI in image analysis for gastrointestinal neoplasms, and the comprehensive applications of AI from screening to personalized treatment. Additionally, innovative approaches such as deep learning for detecting malignant bile duct stenosis and machine learning algorithms for screening advanced liver fibrosis are explored. The advancements in AI for liver imaging and colonoscopy are also addressed, providing a comprehensive overview of the current landscape and future directions in the field.
This article collection aims to provide a thorough understanding of how AI is participating in the future of gastroenterology, offering valuable insights for clinicians, researchers, and healthcare professionals dedicated to improving patient outcomes through innovative technology.
This collection was edited by Alexander Hann (University Hospital Würzburg, Würzburg, Germany) and Tomohiro Tada (AI Medical Service Inc., Tokyo, Japan), and published in the journal Digestion.
Conflict of Interest statements: Alexander Hann: No conflicts of interest to declare
Tomohiro Tada: Position as a board member or advisor at AI Medical Service Inc.; AI Medical Service Inc. stock holdings
Image: Yaikov – stock.adobe.com
The selected articles showcase the transformative impact of AI across a broad spectrum of applications in gastroenterology. From early cancer detection and polyp identification to clinical evaluations of AI tools, articles highlight the precision and efficiency that AI brings to endoscopic procedures. The collection also addresses the current status and challenges of colorectal cancer diagnosis and treatment, the role of AI in image analysis for gastrointestinal neoplasms, and the comprehensive applications of AI from screening to personalized treatment. Additionally, innovative approaches such as deep learning for detecting malignant bile duct stenosis and machine learning algorithms for screening advanced liver fibrosis are explored. The advancements in AI for liver imaging and colonoscopy are also addressed, providing a comprehensive overview of the current landscape and future directions in the field.
This article collection aims to provide a thorough understanding of how AI is participating in the future of gastroenterology, offering valuable insights for clinicians, researchers, and healthcare professionals dedicated to improving patient outcomes through innovative technology.
This collection was edited by Alexander Hann (University Hospital Würzburg, Würzburg, Germany) and Tomohiro Tada (AI Medical Service Inc., Tokyo, Japan), and published in the journal Digestion.
Conflict of Interest statements: Alexander Hann: No conflicts of interest to declare
Tomohiro Tada: Position as a board member or advisor at AI Medical Service Inc.; AI Medical Service Inc. stock holdings
Image: Yaikov – stock.adobe.com
