Category: Machine Learning

2024-25, Artificial Intelligence, Computer Science, Disease, Health and Medicine, Machine Learning

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

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General Neuroscience, Machine Learning, Neurology

Virtual Reality as a Means of Neuroplasticity

Tiffany Ang, Class of 2025 Neuroplasticity is defined as the brain’s ability to create and reorganize neural connections in response to learning and or following injury. This reorganization can be structural or functional, resulting from learning or brain damage respectively. Virtual reality (VR) offers an integrative approach to enhance neuroplasticity by producing controlled yet engaging environments that imitate real-life experiences and promote realistic patterns of … Continue reading Virtual Reality as a Means of Neuroplasticity

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2024-25, Computer Science, Computer Science, COVID-19, Depression, General Neuroscience, General Psychology, Machine Learning, mental health, Technology

What do Machines Know of Depression? Explaining Past Failures of Clinical Algorithms About MDD

Author: Ishmam Khan, Class of 2025 Figure 1: MDD is a devastating, extremely common, and fast-growing disease in terms of suffering, mortality, and cost to society. Since COVID-19, the rates of mental health disorders have increased significantly. One such disorder is Major Depressive Disorder (MDD), a serious disorder affecting more than 8% of the US population. As of 2024, the remission rates, or rate of … Continue reading What do Machines Know of Depression? Explaining Past Failures of Clinical Algorithms About MDD

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2022-23, Computer Science, Machine Learning, mental health

The Role of Robots in Mental Health Detection For Children

Figure 1: Young female holding the hand of a humanoid robot. Julia Chivu ’24 Children may be more open to robots than humans when it comes to their mental health. The growing rate of anxiety and depression among children in the United Kingdom motivated researchers to utilize this unique technology as they sought out better mental health resources in the wake of the COVID-19 pandemic. … Continue reading The Role of Robots in Mental Health Detection For Children

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