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Fig. 2 | Eye and Vision

Fig. 2

From: Artificial intelligence-based refractive error prediction and EVO-implantable collamer lens power calculation for myopia correction

Fig. 2

Importance of features for predicting postoperative spherical equivalent (SE) and sphere. a Importance of features in a merged dataset; b Importance of features in the NT-ICL dataset; c Importance of features in the TICL dataset. The cylinder and axis of the NT-ICL were set to 0.00. The highest importance is aligned to 1.00 and scales the left values accordingly. ICL, implantable collamer lens; NT-ICL, non-toric ICL; TICL, toric ICL; preop, preoperative; S, sphere; C, cylinder; A, axis; D, diopters; scotopic PD, pupil diameter obtained using an auto-refractor; Pentacam PD, pupil diameter obtained using Pentacam HR; IOP, intraocular pressure; K1, steepest keratometry; K2, flattest keratometry; Kmean, mean keratometry; ACD, anterior chamber depth; CT, corneal thickness; WTW, white to white; ACV, anterior chamber volume; ACA, anterior chamber angle

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