Full femtosecond postoperative vision prediction method and system based on machine learning and medium

Abstract

The invention discloses a full femtosecond postoperative vision prediction method based on machine learning. The method comprises the following steps: acquiring a full femtosecond operation sample data set; performing effective variable screening on the full femtosecond operation sample data set; inputting the effective variables into an AI algorithm for model training; performing postoperative vision prediction on the trained mathematical model; performing error adjustment on the prediction result; and performing vision expression form conversion on the adjusted prediction result. The invention also discloses a full femtosecond postoperative vision prediction system based on machine learning. The system comprises a full femtosecond operation sample data set acquisition module, an effective variable screening module, an AI algorithm model training module, a postoperative vision prediction module, a prediction result error adjustment module and a vision expression form conversion module. According to the method and the system, the early and long-term vision conditions of the full femtosecond postoperative can be accurately predicted.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence for visual acuity prediction after ophthalmic surgery, in particular to a method, system and medium for visual acuity prediction after full femtosecond surgery based on machine learning. Background technique [0002] Since 2008, femtosecond laser small incision lenticule extraction (referred to as "full femtosecond", Small incisionlenticule extraction, SMILE) has been widely recommended and has become a great breakthrough in "minimally invasive surgery" in corneal refractive surgery. This procedure avoids the corneal flap and all flap-related complications. So far, there have been more than 2 million SMILE procedures worldwide. Moreover, more and more clinical studies have proved that SMILE is a safe, accurate and effective refractive surgery. Compared with other types of corneal refractive surgery, SMILE has more advantages, such as: low incidence of iatrogenic dry eye, ...

AI Technical Summary

Problems solved by technology

No matter for the surgeon of SMILE or the patient who intends to undergo SMILE for myopia correction, the visual status after SMILE is very important for the following reasons: First, the accurate prediction of visual acuity after SMILE can help reduce the psychological stress of SMILE patients and surgeons. Second, the accurate prediction of visual acuity after SMILE is more helpful to determine the indications of SMILE; in addition, traditional research reports and techniques cannot meet these needs

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