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Home Tags Medical Technology: Misc.

Tag: Medical Technology: Misc.

Vision-related disability is associated with lighting condition and task in patients with glaucoma

Virtual Reality Can Help Assess Glaucoma-Related Visual Disability

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Virtual reality simulations show lighting, task affect vision-related disability caused by glaucoma
SweynTooth cybersecurity vulnerabilities may affect medical devices

FDA: Cybersecurity Vulnerabilities May Affect Medical Devices

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Providers asked to identify devices; patients potentially affected by 12 Bluetooth-associated vulnerabilities
Features extracted from a multisensor correlate strongly with physician- and patient-reported disability outcomes in multiple sclerosis

Multisensor Data Can Assess MS-Related Limb Dysfunction

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Extracted features from three sensors correlate with physician-rated, patient-reported disability status
An electronic nose that measures volatile organic compounds can detect Barrett esophagus

Electronic Nose Can Detect Barrett Esophagus in Breath Test

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Sensitivity 91 percent, specificity 74 percent for volatile organic compound analysis of exhaled breath
For patients discharged from heart failure admission

Wearable Sensor Data Predict Heart Failure Rehospitalization

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Machine learning algorithm detects worsening heart failure and predicts impending rehospitalization
Reduced myocardial blood flow and myocardial perfusion reserve are prognostic for patients with coronary artery disease

AI Imaging Analysis Prognostic in Coronary Artery Disease

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Myocardial blood flow, myocardial perfusion reserve can predict death, major adverse CV events
Mobile devices may be reliable and accurate for interpreting images needed in making the clinical decision to administer intravenous thrombolysis in patients with acute stroke

Image Reading on Mobile Devices Feasible for Stroke Decisions

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Findings support concept of telestroke services for decision to administer intravenous thrombolysis
An application has been developed to predict clinical malignancy and survival outcomes for meningioma

Smartphone, Web App May Help Predict Prognosis for Meningioma

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Models could predict meaningful individual-specific clinical outcome variables for survival, malignancy
Data from activity and physiological trackers may improve prediction of influenza-like illness

Wearable Device Data May Help Predict Flu-Like Illness Patterns

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Fitbit data significantly improved prediction of influenza-like illness in top five states with most users
An artificial intelligence system can be used to detect and grade prostate cancer in prostate needle biopsy samples

AI System Can Detect, Grade Cancer in Prostate Needle Biopsy

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AUCs were 0.997, 0.986 for distinguishing between benign, malignant biopsy cores, respectively