AI in Surgery
Preoperative Diagnosis & Planning
See More and Know More Before the First Incision.
Super-Resolution Imaging - Deep-learning models enhance CT, MRI, and ultrasound sequences, revealing subtle lesions and variant anatomy that conventional reads may miss.
Patient-Specific Risk Fingerprints - By fusing EHR data, labs, and genomics, predictive engines will be able to classify intra- and postoperative risks with surgical-site granularity, enabling tailored prophylaxis and consent conversations grounded in data.
Virtual Rehearsal Studios - Surgeons will manipulate life-size 3D patient models in immersive environments to help plan port placement, simulate complex tasks on patient-specific anatomy, stress-test contingencies, and mitigate risks long before entering the actual OR.
The payoff: Shorter operative times, patient-specific experience, fewer complications, and greater patient confidence.