A new static visual field test algorithm: the Ambient Interactive ZEST (AIZE)

AI Generated Summary*

A modified Bayesian perimetric strategy called Ambient Interactive ZEST (AIZE) was assessed by computer simulation. It updates probability functions at neighboring points within a quadrant, with weighting that falls off with distance. Twenty 24-2 fields, 10 glaucomatous and 10 normal, were each simulated 1000 times under five false positive and false negative combinations, against unweighted and fixed weight (0.33) variants. Median presentations sat between the comparators (normal 121 versus 131 and 94; glaucoma 219 versus 228 and 203). Median error in glaucomatous fields was lowest with AIZE at 3.4 dB, though it is also described as statistically similar to the unweighted version, while fixed weighting gave the lowest error in normal fields. Time saving is claimed on simulation evidence.

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