HIT ConsultantLessons From Oncology – How We Can Better Utilize AI for GI

Challenges in gastroenterology include missed adenomas during colonoscopy due to physician factors and a growing demand for faster endoscopy reads.

Artificial intelligence (AI) has been revolutionary in oncology, and its potential in gastroenterology is vast. AI, particularly computer vision, could transform the field by improving detection, prognosis, and patient management.

Key Points

• Artificial Intelligence (AI) is widely adopted in oncology and has potential benefits in gastroenterology.
• AI can enhance cancer detection, facilitate standardized pathologic review, generate nuanced molecular signatures, and more.
• Up to 70% of patients are lost to screen failure in ulcerative colitis and Crohn’s disease clinical trials.
• Computer vision, a subfield of AI, can improve diagnostic accuracy and standardize care by training algorithms for pattern recognition.
• AI’s application to four-dimensional video footage from endoscopy could lead to significant advancements in disease analysis and treatment sequencing.

Additional Points

• Oncology has successfully adopted advanced computer-aided technologies due to its reliance on two-dimensional imaging.
• Computer vision can assist radiologists by sorting images and enhancing their interpretation.
• Broader adoption of AI in gastroenterology will require technology companies to address workflow, cost, technical, compatibility, and reimbursement challenges.
• Computer vision can improve physician communication, facilitate quality measurement, and support outcomes research.

Conclusion

• AI, particularly computer vision, holds significant promise for improving gastroenterology practice and patient outcomes by enhancing diagnostic accuracy, standardizing care, and propelling scientific advancements in disease analysis and therapy sequencing.

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Did You Know?
Endoscopists today may miss up to 26% of adenomas during a routine colonoscopy.