06/01/2026
๐๐ ๐ ๐ฒ๐ฒ๐๐ ๐ฃ๐ฟ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป: ๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐๐ ๐ฆ๐ถ๐๐ถ๐ป๐ด
One of the most exciting advances in refractive surgery today is the integration of artificial intelligence into ICL planning.
UBM AI + ICL Guru by Sonomed Escalon is redefining how surgeons determine the optimal ICL size, helping improve predictability, efficiency, and patient outcomes.
Using high-resolution UBM, the platform automatically analyzes more than 25 anatomical parameters and applies a deep-learning AI model to predict postoperative vault, angle configuration, rotational stability, and other critical metrics. Rather than relying on indirect measurements, the system evaluates the actual anatomy where the lens will sit, providing highly individualized recommendations.
The UBM AI workflow further enhances accuracy through intelligent eye tracking, automated image alignment, quality scoring, and image selection, ensuring that only optimal scans are used for analysis.
Recent multicenter clinical data involving nearly 350 EVO ICL patients demonstrated remarkable agreement between predicted and actual postoperative vault measurements, with most cases showing less than a 100-micron difference and no lens exchanges due to sizing errors.
As AI continues to evolve, technologies like UBM AI + ICL Guru are helping move refractive surgery toward a new standard of personalized, data-driven care.
Roger Zaldivar STAAR Surgical REVAI