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Machine Learning for Detecting Early Infarction in Acute Stroke with Non–Contrast-enhanced CT

Summary: This discusses an important topic in ML in Healthcare. Applied specifically to Stroke patients. It outlines automated quantification of stroke volume on non contrast CT and compared with MR DWI to get a reasonable estimate and if applied after validation will have practice changing clinical application.

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Citation: Qiu, W. et al. Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CT. Radiology 191193 (2020) https://www.ncbi.nlm.nih.gov/pubmed/3...

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AINeuroCare™ is a next generation educational platform focusing on Acute Inpatient Neurology Care for the next decade. The exponential change artificial intelligence is creating in healthcare will transform the way we practice Acute Care neurology. At AINeuroCare™ our aim is to enhance education for all providers.

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For Education purpose only. The advice does not relate to clinical decision making on specific patients. Discussion of non-FDA approved products may be included.

Tags: AINeuroCare, Neurology, Stroke, Neurocritical Care, Inpatient Neurology, Machine learning, Artificial Intelligence in Healthcare, Machine Learning in Healthcare, Healthcare