BEGIN:VCALENDAR VERSION:2.0 PRODID:VideoCast CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT SUMMARY:Transforming Hypertension Diagnosis and Management in the Era of Artificial Intelligence DTSTART:20230329T150000Z DTEND:20230329T200000Z DTSTAMP:20230411T140900Z UID:Videocast--49303 LOCATION:https://videocast.nih.gov/watch=49303 DESCRIPTION:Rashmee Shah\, Daichi Shimbo\, Eric Spatz\nHigh blood pressure\, known as hypertension\, is still a significant health problem worldwide. To better diagnose and manage the disease\, healthcare providers need more reliable and exact measurements. Machine learning or artificial intelligence tools could offer better ways to improve current approaches for the detection\, monitoring\, and management of hypertension.Join the National Heart\, Lung\, and Blood Institute for a virtual workshop that brings together health care providers and researchers with expertise in hypertension along with data scientists\, engineers\, and implementation scientists. Participants will explore data integration strategies\, novel technologies\, and innovative analytical methods\, with the goal of finding ways to improve hypertension detection\, monitoring\, and management.The workshop features panel discussions on:Bridging the communication gap between population health\, clinical medicine\, and engineeringImproving blood pressure measurement and control and reducing hypertension riskUsing artificial intelligence to predict\, monitor\, and treat hypertensionAddressing real world implementation challenges and issuesOther topics include health disparities\, novel technologies\, data harmonization\, electronic health records\, clinical decision tools\, medication adherence\, and clinical and regulatory issues. The workshop also features a keynote presentation on real-world challenges for communities most impacted by hypertension.\n\nFor more information go to https://www.nhlbi.nih.gov/events/2023/transforming-hypertension-diagnosis-and-management-era-artificial-intelligence https://www.nhlbi.nih.gov/events/2023/transforming-hypertension-diagnosis-and-management-era-artificial-intelligence X-ALT-DESC;FMTTYPE=text/html:\n\n
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