In this issue of Gastrointestinal Endoscopy Clinics of North America, guest editor Dr. Seth A. Gross brings his considerable expertise to the topic of Artificial Intelligence in Endoscopy. With its heavy reliance on endoscopic and radiologic imaging, the field of gastroenterology is prime to utilize the many advances in artificial intelligence (AI) over the past two decades. In this issue, top experts discuss the intersection of AI and diagnostic modalities in gastrointestinal endoscopy, providing today’s clinicians with up-to-date information on current and future applications.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. Foreword - p. xiii 8. Preface - p. xv 9. Past, Present, and Future: A History Lesson in Artificial Intelligence - p. 265 10. Building Machine Learning Models in Gastrointestinal Endoscopy - p. 279 11. The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease - p. 291 12. Natural Language Processing in Gastroenterology: Current Applications and Future Directions - p. 309 13. Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach - p. 319 14. The Use of Artificial Intelligence for Endoscopic Evaluation of the Small Bowel - p. 355 15. Artificial Intelligence in Inflammatory Bowel Disease - p. 367 16. Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer - p. 389 17. Cost-Effectiveness for Artificial Intelligence in Colonoscopy - p. 401 18. Role of Artificial Intelligence for Endoscopic Ultrasound - p. 407 19. The Role of Artificial Intelligence for Advanced Endoscopy - p. 419 20. Artificial Intelligence in Endoscopy Quality Measures - p. 431 21. Impact of Artificial Intelligence on Clinical Research - p. 445 22. Impact of Artificial Intelligence on Gastroenterology Trainee Education - p. 457 23. Reimbursement and Regulatory Landscape for Artificial Intelligence in Medical Technology - p. 469 24. The Role of Industry to Grow Clinical Artificial Intelligence Applications in Gastroenterology and Endoscopy - p. 485
In this issue of Gastrointestinal Endoscopy Clinics of North America, guest editor Dr. Seth A. Gross brings his considerable expertise to the topic of Artificial Intelligence in Endoscopy. With its heavy reliance on endoscopic and radiologic imaging, the field of gastroenterology is prime to utilize the many advances in artificial intelligence (AI) over the past two decades. In this issue, top experts discuss the intersection of AI and diagnostic modalities in gastrointestinal endoscopy, providing today’s clinicians with up-to-date information on current and future applications.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. Foreword - p. xiii 8. Preface - p. xv 9. Past, Present, and Future: A History Lesson in Artificial Intelligence - p. 265 10. Building Machine Learning Models in Gastrointestinal Endoscopy - p. 279 11. The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease - p. 291 12. Natural Language Processing in Gastroenterology: Current Applications and Future Directions - p. 309 13. Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach - p. 319 14. The Use of Artificial Intelligence for Endoscopic Evaluation of the Small Bowel - p. 355 15. Artificial Intelligence in Inflammatory Bowel Disease - p. 367 16. Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer - p. 389 17. Cost-Effectiveness for Artificial Intelligence in Colonoscopy - p. 401 18. Role of Artificial Intelligence for Endoscopic Ultrasound - p. 407 19. The Role of Artificial Intelligence for Advanced Endoscopy - p. 419 20. Artificial Intelligence in Endoscopy Quality Measures - p. 431 21. Impact of Artificial Intelligence on Clinical Research - p. 445 22. Impact of Artificial Intelligence on Gastroenterology Trainee Education - p. 457 23. Reimbursement and Regulatory Landscape for Artificial Intelligence in Medical Technology - p. 469 24. The Role of Industry to Grow Clinical Artificial Intelligence Applications in Gastroenterology and Endoscopy - p. 485
