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Home Tags Medical Technology: Misc.

Tag: Medical Technology: Misc.

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
A remote blood pressure monitoring program is feasible and acceptable to postpartum women with hypertension

Remote, Postpartum BP Checks Feasible in Women With HTN

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Study demonstrates high compliance, retention, and patient satisfaction with the program
Machine learning algorithms could aid with classification of kidney biopsy samples

Machine Learning Algorithms Promising in Kidney Diagnostics

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Machine learning algorithms can aid in assessment of renal histopathology
Patient gender and age can be predicted by applying artificial intelligence to an electrocardiogram

Artificial Intelligence Can Predict Patient Gender, Age From ECG

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Authors say AI algorithm to determine physiologic age could serve as measure of overall health status
A virtual reality program reduces pain in hospitalized patients compared with a television program control

Virtual Reality Program Reduces Pain in Hospitalized Patients

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Virtual reality helped reduce pain compared with control, was particularly effective for severe pain
An artificial intelligence program outperforms pathologists for differentiating ductal carcinoma in situ from atypia

AI Program May Aid in Pathologic Evaluation of Breast Biopsies

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Computer-based automated approach promising for differentiating ductal carcinoma in situ from atypia
Deep natural language processing may be able to estimate the presence of active cancer

AI Tool Discerns Lung Cancer Outcomes From Imaging Reports

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Deep natural language processing used to detect presence of lung cancer and treatment response