Acuity Model Zoo

This repository contains the official code for the paper "Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling" (Nature Communications), which presents a deep learning framework for real-time patient acuity prediction using EHR data.

Development and comparative analysis of regression models for predicting corrected visual acuity

A cognitive model to understand basic math acuity in children using weber fraction and numerical distance effect based algorithms

Acuity is a full-stack adaptive IQ assessment platform featuring a custom-built computer adaptive testing (CAT) engine, psychometric scoring system, and Stripe-powered paywall — delivering real-time, scientifically-modeled cognitive analysis in a premium, production-ready UI.

ML Models for Hack MIT 2020 Heart Acuity submission

CUROP Projecct: Image Processing software for automatic scoring of visual acuity tests in preclinical research models

Estimation of the visual acuity based on SweepVEP and a modified Ricker model

This is an interactive simulation of natural selection and population dynamics. It models the relationship between predators, whose success depends on visual acuity, and prey, whose survival depends on camouflage.

Offical codebase and prompts for MICCAI 2026 paper "Multi-Agent Large Language Model Tournaments for Lightweight Heuristic Generation in Augmented Reality Visual Acuity Screening"

APARI Version 1.0: the APARI (Aligning Patient Acuity with Resource Intensity) model generates predictions of in-hospital mortality and prolonged (greater than 48h) intensive care unit (ICU) stay for patients who are undergoing major surgery.

Peripheral vision is an important aspect when it comes to studying vision as it makes up the majority of the visual field. Therefore when one part of the visual system such as the central vision is impaired, it is crucial to be able to use different techniques to use the remaining of the visual field for all daily tasks. Disorders such as age-related macular degeneration suffer from losing central vision, hence, these patients evolve new eye movements and strategies to use the remaining of the visual field for different tasks. Meanwhile, visual scientists attempt to develop new methods to further improve the use of the remaining vision in visual disorders. Some of these approaches include manipulating visual targets’ dynamics by introducing temporal modulations that can create temporal harmonics to widen the spatio-temporal range of the stimuli and improve peripheral acuity. In this study we attempt to build a model of the visual system in order to investigate whether temporal harmonics are indeed involved in improving peripheral acuity in two specific approaches; subsampling the stimuli and contrast polarity reversal of the stimuli. We also made comparisons between the model estimations and human data to draw further interpretations about temporal harmonics’ effects on vision. We found that the model replicates certain aspects of the visual system such as the threshold of spatial and temporal frequencies and visibility is better in unmodulated stimuli. The model is a suitable foundation that can be expanded on by future experimentation and to reach a more complete representation of the visual system.