Artificial wisdom in gastrointestinal diagnostics: A new frontier in translational reasoning

Figure 2 Artificial wisdom-enabled decision pathway for colorectal polyp management. A layered framework integrating real-time endoscopic perception, patient-specific historical data, probabilistic reasoning, and clinician-facing recommendations to guide polyp management. The pathway incorporates morphology classification (Paris), surface pattern analysis (NICE, JNET), and vascular architecture assessment, alongside contextual factors such as prior polyp burden and surveillance history. Outputs include resection technique guidance, referral and tattooing recommendations, and surveillance interval suggestions, culminating in a structured endoscopy report. SSL: Sessile serrated lesion.