AI in GI oncology is moving beyond image recognition toward tools designed to influence clinical decisions and patient outcomes, according to experts at the ESMO Gastrointestinal Cancers Congress 2026. Marie Hanaoka, MD, discussed AI that links measurements during robotic rectal cancer surgery to postoperative outcomes, while Max Seidensticker, MD, highlighted the potential of machine learning to improve MRI-guided interventions for liver tumors. In pathology, Magali Svrcek, MD, PhD, described AI models that can predict molecular alterations from H&E slides and even recognize when they should not make a prediction. Across these applications, experts emphasized that clinical value—not technical performance alone—will determine AI’s role in GI cancer care.
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