AI4QI, Khosravani Lab, Using AI for quality improvement in neurology
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Updated
Dec 18, 2023
AI4QI, Khosravani Lab, Using AI for quality improvement in neurology
Analysis code and results for the study "Association between stroke and psychosis across four nationally representative epidemiological studies"
A tool for automatic measurements of axon lengths, the nerve fibers connecting neurons in a brain.
Central code repository for UNICORN Lab at NYU Langone Health. Our goal is to better understand the mechanisms through which our environments impact our brain health and then design, develop, and implement human-centered interventions that aim to improve universal brain health.
💊 Code and results of a statistical study of databases from Virgen del Rocío's hospital concerning to strokes episodes and how different risk factors affect the condition.
Matlab-designed algorithm implemented with Machine Learning methods. The purpose was to use collected signal information to discriminate between right-lobe, left-lobe, and passive activity.
This library contains several utilities and scores commonly used in multiple sclerosis studies.
Develop a machine learning model using PPG signals to non-invasively estimate blood pressure changes in anesthetized patients during surgery. Exploring the potential of PPG-based devices for continuous patient monitoring. collaborate with:
Analysis of functional connectivity and fatigue and sleep quality in multiple sclerosis (MS), described in Ruiz-Rizzo et al. (2022), European Journal of Neurology
Webpage of the book Shaken Baby Syndrome: Investigating the Abusive Head Trauma Controversy, Findley et al., Cambridge University Press, 2023.
Experimental brainwave entrainment goggles (Dementia / Mentalhealth).
Comparison of machine learning architectures for neural decoding of self-location | MSc dissertation project
Image analysis pipelines of qunatitative MRI (qMRI), including diffusion MRI (dMRI), in patients with adrenoleukodystrophy (ALD)
📁 Investigation into the impact Covid-19 has had on treatment for Multiple Sclerosis (MS) patients
A neural network framework for exploring and recreating brain functions.
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