A University of Iowa researcher has won more than $500,000 in grants to merge machine learning with a technique called ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Abstract: Stroke continues to pose a significant challenge to global health, ranking among the top causes of death and long-term disability. Globally it is observed that stroke is one of the major ...
Abstract: This study introduces a robust machine learning framework that aims at enhancing stroke risk prediction and supporting global health objectives to reduce stroke-related morbidity and ...
AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...
ACUTE ischemic stroke outcome prediction may be improved by a reasoning enhanced large language model that can extract prognostic value from routine clinical notes, according to findings presented at ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
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