The right colon is where the dangerous cancers hide. Flat, sessile lesions tucked into folds, easier to miss on a quick withdrawal, more likely to turn aggressive. It is also, according to Omar Khokhar, exactly where AI-assisted colonoscopy has proven its worth. Across more than 20,000 procedures, his adenoma detection rate has climbed 12 percent since integrating the technology, with the gains concentrated precisely in that anatomical territory and in the under-50 patient population where a missed polyp carries the longest shadow.
The number matters because ADR is one of the few metrics in gastroenterology with a direct, documented relationship to interval cancer rates. A 12 percent increase is not a rounding error. But Khokhar is careful about where the credit lands. The AI functions as a visual overlay, and its value depends on the physician giving it something to work with. "I've been more meticulous in the right colon," he said, "so that the neural visual circuitry has sufficient time to analyze the image." The technology and the technique are not separable; one without the other produces neither the data nor the outcome.
On integration, the picture is similarly grounded. Disruption to workflow was, in his experience, minimal. The overlay format meant the tool fit into an existing visual rhythm rather than demanding a new one. That ease of adoption matters in a high-volume endoscopy setting where any friction compounds across dozens of cases a day. What did change was Khokhar's own behavior at the scope, a deliberate slowing in a region where speed has historically worked against detection.
"As a visual overlay, there was minimal disruption to workflow. I've been more meticulous in the right colon so that the neural visual circuitry has sufficient time to analyze the image."
The next frontier, as Khokhar sees it, is not simply detection but characterization. Real-time analysis of lesion measurement, pit patterns, and margins would move AI from a spotter to something closer to a co-diagnostician at the point of procedure. That capability does not yet exist at clinical scale, but it is the logical extension of what detection-focused tools have already demonstrated is possible.
Running a high-volume clinical practice while also building outside ventures requires infrastructure that most physicians underestimate. Khokhar is direct about this: "It takes a team." He credits endoscopy leadership, nursing, an engaged social media presence, and operational management as the scaffolding that makes both the clinical volume and the entrepreneurial work sustainable. The implication is worth sitting with. The question of whether a busy clinician can also build something beyond the procedure room is less about individual capacity than about who is standing around them when the day gets long.
