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Home Tags Medical Technology: Misc.

Tag: Medical Technology: Misc.

Breast Imaging Reporting and Data System breast density categorization may vary by screening mammographic modality

Breast Density Categorization Varies With Screening Modality

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Women screened with digital breast tomosynthesis have lower likelihood of high-density categorization
Adherence to timing and dosing of insulin injections can be objectively measured using Bluetooth-enabled pen caps

Bluetooth Technology Enables Insulin Adherence Monitoring

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Bluetooth technology may close gap between actual adherence and self-reported adherence
The Lung Cancer Causal Model shows promise as a predictor of cancerous lung nodules

New AI Model May Predict Cancerous Lung Nodules

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Model relies on CT features, demographics, clinical data, and improves on current methods
An application using the photoplethysmography signal

ACC: Photoplethysmography Signal Can Detect Diabetes

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AUC 0.722 for predicting prevalent diabetes in test dataset; negative predictive value 97 percent
Oscillometric devices allow accurate office blood pressure measurement while reducing human errors associated with the auscultatory approach

Oscillometric Devices Offer More Accurate Way to Measure BP

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Validated oscillometric devices may provide more accurate BP measurement in office setting
Wireless epidermal electronic systems with in-sensor analytics are feasible for use in the neonatal intensive care unit

Wireless Sensor System Feasible for Monitoring Vital Signs in NICU

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Operation possible when immersed in water and compatible with essential medical imaging
By triggering sensory stimulation

Studies Promising for Sensory Feedback for Hand Prostheses

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Restoration of proprioception seen in two transradial amputees; detection of slipping in hand amputee
The use of multiple clinical apps in the outpatient clinic can improve quality of care for patients with stable ischemic heart disease

Clinical Apps Up Quality of Care for Stable Ischemic Heart Disease

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Tools offer clinical support for appropriate imaging, symptom assessment, patient education
Artificial intelligence software can predict prognosis in epithelial ovarian cancer above established prognostic methods

Artificial Intelligence Predicts Survival in Epithelial Ovarian Cancer

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Radiomic Prognostic Vector IDs patients with median overall survival of less than two years
Visual simulation in an adaptive optics environment can capture optical and visual performance with real multifocal intraocular lenses

Simulation Captures Performance With Multifocal Intraocular Lens

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Visual simulation captures individual optical, visual performance obtained with real M-IOLs