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Tag: Medical Technology: Misc.

A machine learning system can generate clinically valid alerts for medication errors that might be missed with existing clinical decision support systems

Machine Learning System Makes More Alerts for Med Errors

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68.2 percent of MedAware alerts would not have been generated with clinical decision support system
A machine learning model improves the prediction of long-term risks for myocardial infarction and cardiac death

Machine Learning Model Helps Predict Risk for MI, Cardiac Death

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Model integrates clinical and quantitative imaging-based variables to predict long-term cardiac risks
The new Society for Cardiovascular Angiography and Intervention cardiogenic shock classification scheme provides risk stratification for hospital mortality

New Cardiogenic Shock Staging System IDs Mortality Risk

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Study is first to validate Society for Cardiovascular Angiography and Intervention system
Palm and finger temperatures are significantly increased in patients with rheumatoid arthritis without active inflammation compared with healthy controls

Palm, Finger Temps Higher on Thermal Imaging in RA Patients

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In all regions of interest, rheumatoid arthritis patients without active inflammation have higher temperatures
For participants without atrial fibrillation

Smartwatch App Shows Promise for Identifying Atrial Fibrillation

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Among those notified of irregular pulse, positive predictive value 0.84 for observing a-fib on ECG
The FIND FH model can successfully identify individuals with familial hypercholesterolemia from a scan of large

AI Model Helps ID Those at Risk for Familial Hypercholesterolemia

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Model may identify more who are at risk while substantially reducing the number of people screened
A smartphone-operated one-lead electrocardiography device with an integral algorithm can diagnose atrial fibrillation and atrial flutter

Smartphone-Operated One-Lead ECG Detects A-Fib, Flutter

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High sensitivity, specificity demonstrated for atrial arrhythmia
Interactive interventions to improve medication adherence do not improve blood pressure control

Monitoring HTN Med Adherence Does Not Improve BP Control

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Text messaging and remote monitoring can aid adherence but not blood pressure control
Medical devices that can connect to the internet might be at risk for hacking

FDA: Pacemakers, Insulin Pumps Could Be Hacking Targets

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Cyberattackers could take control of a medical device and cause it not to work properly or at all
Early evidence suggests that diagnostic performance of deep learning models is equivalent to that of health care professionals for interpreting medical imaging

Deep Learning Models Classify Disease From Medical Imaging

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In meta-analysis, sensitivity, specificity comparable for deep learning models and health care professionals