Pixels to Prognosis: Using AI for Neuroradiologic Analysis

Kaylie Huang, Class of 2027 The role of artificial intelligence (AI) in healthcare is one of curiosity and contention, as studies have shown its potential in early detection and prevention through near-perfect analysis of medical images. Researchers from the Department of Radiology at Stony Brook University Hospital (SBUH) investigated the accuracy of AI interpretations of CT head angiograms, or imaging of the brain’s blood vessels, … Continue reading Pixels to Prognosis: Using AI for Neuroradiologic Analysis

Telemedicine Visits: Alternative Approach to Healthcare?

Author: Amal Bilal, Class of 2028 Figure 1: Doctor and patient using telemedicine. Telemedicine has become increasingly popular because of its ability to increase savings for patients and providers, reduce hospital readmissions, and enhance patient quality of care. The COVID-19 pandemic saw an 80% decline in in-person health visits and a 683% increase in telemedicine visits between March 2 and April 14, 2020 (1). Teleophthalmology, … Continue reading Telemedicine Visits: Alternative Approach to Healthcare?