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Transdermal optical imaging can be used to predict systolic

Transdermal Optical Imaging Shows Promise for Measuring BP

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

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

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

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

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

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

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

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

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

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