Tag: #AI

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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Artificial Intelligence, Ecology, Environment, Evolution, Natural World

Harnessing Artificial Intelligence for Wildlife Conservation

Author: Amal Bilal, Class of 2028 Artificial Intelligence (AI) is emerging as a tool that can be leveraged to identify effective solutions for the current biodiversity crisis. As ecosystems are increasingly harmed by humanity, researchers are looking for ways in which AI can be used to create multimodal models that analyze ecological data to improve biodiversity loss predictions, track patterns in wildlife trade, and develop … Continue reading Harnessing Artificial Intelligence for Wildlife Conservation

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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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