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Home Tags Medical Technology: Misc.

Tag: Medical Technology: Misc.

A new artificial intelligence algorithm can predict risk for age-related macular degeneration

AI Model Predicts Risk for Age-Related Macular Degeneration

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Algorithm based on retinal photographs plus lifestyle (diet and smoking) and demographic data
A prototype for a low-cost

Low-Cost, Noninvasive Ventilator Feasible for Breathing Support

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Inspiratory/expiratory pressures up to 20/10 cmH20, respectively; no faulty triggering, cycling
Women mainly use fertility apps for fertility and reproductive health tracking

Review Explores Use of Menstruation, Fertility Apps

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Limited research indicates most popular apps not accurate for supporting those wanting to get pregnant
Patients with left ventricular assist devices who live remotely can be successfully managed with specialized training and cooperation between local physicians and specialty medical centers

Rural Doctors Can Be Trained to Treat Advanced Heart Failure

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Rates of death, pump thromboses, infections higher for patients who do not receive LVAD-specific care
Data from patients with coronavirus disease 2019 can be used to develop a model that can predict who will develop acute respiratory distress syndrome

Artificial Intelligence Framework May Predict ARDS in COVID-19

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Increases in elevated ALT, myalgias, hemoglobin predictive of acute respiratory distress syndrome
In the field of medical imaging

Prospective, Randomized Studies of AI Lacking in Medical Imaging

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Many studies claiming artificial intelligence as good as humans are of poor quality, with high risk for bias
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