Tag: #machinelearning

General Neuroscience, Neurology, Neuroscience

Clinical Applications of Artificial Intelligence in Neurocardiology

Author: Amal Bilal, Class of 2028 Neurocardiology is a new and emerging field that examines the heart-brain interaction in the context of health and disease. Conditions such as stroke and cardiac arrhythmia are connected by the heart-brain axis: a network of neural, vascular, and physiological signals. Early and accurate detection of abnormalities along this axis is essential for improving patient outcomes. Stony Brook Medicine researcher … Continue reading Clinical Applications of Artificial Intelligence in Neurocardiology

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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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