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Transdermal optical imaging can be used to predict systolic

Transdermal Optical Imaging Shows Promise for Measuring BP

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Models could predict systolic, diastolic, pulse pressure within 5 ± 8 mm Hg of reference measurements
Machine learning can classify participants into levels of expertise with 90 percent accuracy in a virtual reality neurosurgical tumor resection simulation

Machine Learning Algorithms Can Classify Surgical Expertise in VR Simulation

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Participants were classified by level of expertise with 90 percent accuracy, using six parameters
An artificial intelligence-enabled electrocardiograph acquired during normal sinus rhythm can identify individuals with atrial fibrillation

AI-Enabled ECG During Normal Sinus Rhythm Identifies A-Fib

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Atrial fibrillation identified with a single AI-enabled ECG during normal sinus rhythm with AUC of 0.87
A convolutional neural network can predict long-term mortality from chest radiographs

AI Model Can Predict Long-Term Mortality From Chest Radiographs

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Deep learning CXR-risk score based on single chest radiograph identifies risk for long-term mortality
A comprehensive test is more accurate than conventional clinical and imaging criteria for identifying precancerous pancreatic cysts

Novel Test Accurately Identifies Precancerous Pancreatic Cysts

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Cyst classifier test is based on clinical and imaging features, genetic and biochemical markers
Computer-assisted diagnosis can help physicians detect growth of low-grade gliomas

Computer-Assisted Diagnosis Aids Detection of Glioma Growth

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Physicians using CAD can detect growth of low-grade gliomas at significantly smaller volumes
An entorhinal cortex-based virtual reality navigation task can differentiate patients with mild cognitive impairment at low and high risk for developing dementia

Virtual Reality IDs Navigation Issues in Early Alzheimer Disease

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Classification accuracy superior to cognitive tests considered highly sensitive to early disease
An automated cough sound analyzer can serve as a diagnostic aid in the assessment of pediatric respiratory disorders

Cough Sound Analyzer Helps Differentiate Peds Respiratory Disorders

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Automated analyzer can aid in diagnosing asthma, pneumonia, croup, bronchiolitis, LRI
An artifical intelligence system based on deep learning is feasible for detecting full-thickness anterior cruciate ligament tears within the knee joint on magnetic resonance images

AI Model Based on Deep Learning Detects ACL Tears on Knee MRI

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No significant difference seen between ACL tear detection system, clinical radiologists
Deep learning models can improve the accuracy of lung cancer screening

AI Model Can Improve Accuracy of Lung Cancer Screening

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In some situations, model outperformed radiologists with reductions in false positives, negatives