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Artificial intelligence and upper gastrointestinal endoscopy: what is the optimal study design?

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Artificial intelligence (AI) can improve early detection of esophageal and gastric cancers during endoscopy by reducing human error. This review explores current AI tools, their potential, and challenges for upper gastrointestinal endoscopy.

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Area of Science:

  • Gastroenterology and Oncology
  • Medical Imaging and Artificial Intelligence

Background:

  • Upper gastrointestinal cancers, including esophageal and gastric cancers, present significant global health challenges with high mortality rates.
  • Early cancer detection via endoscopy is crucial for improving patient prognosis, despite limitations in current procedures.
  • Human errors, such as missed diagnoses, remain a concern in endoscopic examinations.

Approach:

  • This review examines the emerging role of artificial intelligence (AI) in enhancing upper gastrointestinal endoscopy.
  • It discusses the current capabilities and future potential of AI tools designed to assist endoscopists.
  • The article also addresses practical challenges and proposes solutions for integrating AI into clinical practice.

Key Points:

  • AI in endoscopy aims to minimize diagnostic variability and reduce the incidence of overlooked neoplasia and cancers.
  • Current AI technologies show promise in improving the accuracy and efficiency of detecting upper gastrointestinal abnormalities.
  • The integration of AI tools is expected to standardize the quality of endoscopic examinations.

Conclusions:

  • Artificial intelligence offers a promising avenue to augment human expertise in diagnosing upper gastrointestinal cancers.
  • Addressing implementation challenges is key to realizing the full benefits of AI in endoscopic screening and diagnosis.
  • Further research and validation are necessary to establish AI as a standard tool in routine endoscopic practice.