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Related Experiment Video

Updated: Jan 12, 2026

Author Spotlight: Recent Advancements in Reoperative Foregut Surgery
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Benign Foregut Surgery.

Jonathan A Nakata1, Ealaf Shemmeri1

  • 1Department of Surgery, Mass General Brigham/Brigham and Women's Hospital, Boston, USA.

Thoracic Surgery Clinics
|October 30, 2025
PubMed
Summary

New diagnostic tools like High-Resolution Impedance Manometry (HRIM) and AI improve benign esophageal disease management. These innovations enhance early detection and personalized treatment for conditions including GERD and Barrett's esophagus (BE).

Keywords:
AIAchalasiaArtificial intelligenceBarrett’s esophagusBenign esophageal diseaseEndoFLIPGERDHRIMHiatal herniaRobotic hiatal hernia repairTIFVLE

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Area of Science:

  • Gastroenterology and Diagnostic Technology
  • Esophageal Disease Management
  • Medical Innovations

Background:

  • Benign esophageal diseases like GERD, achalasia, and Barrett's esophagus (BE) require precise diagnostics for effective management.
  • Traditional diagnostic methods face limitations in real-time functional assessment and subtle lesion detection.
  • Advancements in technology are crucial for improving diagnostic accuracy and patient outcomes.

Purpose of the Study:

  • To explore five key innovations transforming the diagnosis and management of benign esophageal diseases.
  • To highlight the role of advanced technologies like HRIM, TIF, EndoFLIP, VLE, and AI in esophageal care.
  • To examine the impact of these innovations on conditions such as GERD, achalasia, hiatal hernias, and BE.

Main Methods:

  • Review of recent advancements in diagnostic tools including High-Resolution Impedance Manometry (HRIM), Transoral Incisionless Fundoplication (TIF), EndoFLIP, and Volumetric Laser Endomicroscopy (VLE).
  • Integration analysis of artificial intelligence (AI) and machine learning in enhancing diagnostic capabilities for esophageal conditions.
  • Exploration of the role of social determinants of health in diagnosis, treatment, and outcomes.

Main Results:

  • Innovations like HRIM, TIF, EndoFLIP, and VLE offer real-time visualization and functional monitoring, improving diagnostic precision.
  • AI and machine learning significantly enhance dysplasia and neoplasia detection in BE, improving early diagnosis and accuracy.
  • AI-driven algorithms improve endoscopic imaging, reducing missed diagnoses and providing more accurate results.

Conclusions:

  • Technological advancements, including AI, are revolutionizing the diagnosis and management of benign esophageal diseases.
  • These innovations lead to more personalized, effective treatments and improved patient outcomes.
  • Addressing social determinants of health is crucial for equitable access to advanced diagnostics and care.