Tag: #Healthcare

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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Health and Medicine, Medicine and Physiology

Augmenting Ultrasounds with Artificial Intelligence to Advance Wound Healing

Author: Amal Bilal, Class of 2028 Chronic wounds, or wounds that demonstrate abnormal repair due to a deficient healing process, pose major healthcare challenges worldwide. These wounds can lead to pain, infection, hospitalization, surgery, and, in the worst cases, amputation. Therefore, early identification of whether a wound is healing properly is crucial for adjusting treatment plans, reducing side effects and costs, and ultimately improving patient … Continue reading Augmenting Ultrasounds with Artificial Intelligence to Advance Wound Healing

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2024-25, COVID-19, Health, Health and Medicine, Technology

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?

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