Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

Journal: Journal of gastroenterology and hepatology
Published Date:

Abstract

With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastroenterology and hepatology, being a specialty relying much on diagnostic imaging, endoscopy, and histopathology, AI technology has promised improving the quality and consistency of care to the patients. In this review, we will elucidate the development of machine learning methods, especially the visual representation mechanism in deep learning on recognition tasks. Various AI-image analysis applications in endoscopy, radiology, and pathology are covered in gastroenterology and hepatology and reveal the enormous potentials for AI in assisting diagnosis, prognosis, and treatment. We also discuss the promises as well as pitfalls for AI in medical image analysis and pointing out future research directions.

Authors

  • Hao Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
  • Joseph J Y Sung
    Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.