Hospitals

Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning
Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning 1884 2560 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Early revascularization of the occluded coronary artery in patients with ST elevation myocardial infarction (STEMI) has been demonstrated to decrease mortality and morbidity. Currently, physicians rely on features of… read more

Impaired brain-heart relation in patients with methamphetamine use disorder during VR induction of drug cue reactivity
Impaired brain-heart relation in patients with methamphetamine use disorder during VR induction of drug cue reactivity 1978 2560 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Methamphetamine use disorder (MUD) is an illness associated with severe health consequences. Virtual reality (VR) is used to induce the drug-cue reactivity and significant EEG and ECG abnormalities were… read more

Early detection of Acute Chest Syndrome through electronic recording and analysis of auscultatory percussion
Author(s)3: Bekah Allen, Robert Molokie, Thomas J. Royston
Early detection of Acute Chest Syndrome through electronic recording and analysis of auscultatory percussion 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Acute chest syndrome (ACS) is the leading cause of death among people with sickle cell disease. ACS is clinically defined and diagnosed by the presence of a new pulmonary infiltrate…

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Healthcare Event and Activity Logging
Author(s)3: Carlos Torres, Jeffrey C. Fried, B. S. Manjunath
Healthcare Event and Activity Logging 780 509 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

   Part of the Special Issue on Advanced Internet of Things in Personalized Healthcare Systems: Validation, Analysis and Utilization The health of patients in the intensive care unit (ICU) can…

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Developing a Policy Flight Simulator to Facilitate the Adoption of an Evidence-based Intervention

Developing a Policy Flight Simulator to Facilitate the Adoption of an Evidence-based Intervention
Author(s)3: Michael J. Pennock, Zhongyuan Yu, Karen B. Hirschman, Kara Pepe, Mark V. Pauly, Mary D. Naylor, William B. Rouse
Developing a Policy Flight Simulator to Facilitate the Adoption of an Evidence-based Intervention 780 427 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

       Abstract While the use of evidence-based interventions (EBIs) has been advocated by the medical research community for quite some time, uptake of these interventions by healthcare providers has been…

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