New Study Evaluates the COVID-19 Impact on Imaging Volumes

As a result of the COVID-19 pandemic many radiology departments have experienced a rapid decline in imaging case volumes. This new study, funded by the Harvey L. Neiman Health Policy Institute and published online in Journal of the American College of Radiology (JACR), evaluates the impact of the pandemic on imaging case volumes using real-world data from a large healthcare institution.

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Chest X-Rays in Emergency Rooms Can Help Predict Severity of COVID-19 Illness in Young and Middle-aged Adults

Chest X-rays performed on young and middle-aged adults with COVID-19 when they arrive at the emergency room can help doctors predict who is at higher risk of severe illness and intubation, Mount Sinai researchers report.

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Scientists and neurosurgeon team up to develop novel imaging device for babies with brain disorders

Using night-vision goggle technology, near-infrared light, and high-resolution detectors, a wearable imaging device for awake infants with brain disorders was developed by a team of scientists and a pediatric neurosurgeon at UTHealth. Cap-based Transcranial Optical Tomography (CTOT), which utilizes a cap for the baby’s head, is the first high-resolution, whole-brain functional imaging device that does not require the baby to be put under anesthesia.

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Cell Membrane Proteins Imaged in 3-D

A team of scientists including researchers at the National Synchrotron Light Source II have demonstrated a new technique for imaging proteins in 3-D with nanoscale resolution. Their work, published in the Journal of the American Chemical Society, enables researchers to identify the precise location of proteins within individual cells, reaching the resolution of the cell membrane and the smallest subcellular organelles.

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Artificial Intelligence Enables Rapid COVID-19 Lung Imaging Analysis at UC San Diego Health

With support from Amazon Web Services, UC San Diego Health physicians are using AI in a clinical research study aimed at speeding the detection of pneumonia, a condition associated with severe COVID-19.

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Ultrasound Solves an Important Clinical Problem in Diagnosing Arrhythmia

Columbia Engineering researchers have used an ultrasound technique they pioneered a decade ago–electromechanical wave imaging (EWI)–to accurately localize atrial and ventricular cardiac arrhythmias in adult patients in a double-blinded clinical study. They evaluated the accuracy of EWI for localization of various arrhythmias in all four chambers of the heart prior to catheter ablation: the results showed that EWI correctly predicted 96% of arrhythmia locations as compared with 71% for 12-lead ECGs.

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COVID-19 Appears Less Severe in Children, Says Review in Pediatric Infectious Disease Journal

As outbreaks of COVID-19 disease caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue worldwide, there’s reassuring evidence that children have fewer symptoms and less severe disease. That’s among the insights provided by an expert review in The Pediatric Infectious Disease Journal, the official journal of The European Society for Paediatric Infectious Diseases. The journal is published in the Lippincott portfolio by Wolters Kluwer.

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COVID-19 Appears Less Severe in Children, Says Review in Pediatric Infectious Disease Journal

As outbreaks of COVID-19 disease caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue worldwide, there’s reassuring evidence that children have fewer symptoms and less severe disease. That’s among the insights provided by an expert review in The Pediatric Infectious Disease Journal, the official journal of The European Society for Paediatric Infectious Diseases. The journal is published in the Lippincott portfolio by Wolters Kluwer.

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Robot Uses Artificial Intelligence and Imaging to Draw Blood

Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs. Their research results, published in the journal Nature Machine Intelligence, suggest that autonomous systems like the image-guided robotic device could outperform people on some complex medical tasks.

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