5 Key Takeaways

• 1

  AI enhances refractive lens exchange (RLE) by integrating complex preoperative data into decision support systems.

• 2

  Surgeons often hesitate to use advanced intraocular lenses (IOLs) in post-refractive surgery due to concerns about refractive surprises and quality of vision.

• 3

  AI improves surgical outcomes by predicting probabilities of success, allowing for better lens selection and reducing postoperative surprises.

• 4

  Practices using AI in RLE report faster decision-making, fewer enhancement rates, and improved patient satisfaction.

• 5

  AI enables personalized refractive counseling, addressing non-optical factors that influence patient satisfaction and expanding revenue opportunities.