FDA Clears Rayvolve to Aid Pediatric X-ray Analysis
AZmed's Rayvolve software has received FDA clearance for detecting fractures in pediatric X-rays, following a successful study showing high accuracy.
AZmed's Rayvolve software has received FDA clearance for detecting fractures in pediatric X-rays, following a successful study showing high accuracy.
Boston Imaging, the U.S. headquarters of Samsung's digital radiography and ultrasound division, has partnered with Lunit Inc. to integrate AI technology, improving the efficiency and accuracy of chest screenings.
Japanese scientists have developed an artificial intelligence model that accurately estimates a patient’s age, using chest radiographs of healthy individuals collected from multiple facilities
ConcertAI’s TeraRecon Eureka Clinical AI SaaS platform brings artificial intelligence (AI) and Deep Learning technologies to automate thoracic image interpretation for improved accuracy and accelerated interpretation. This provides a comprehensive AI solution for multi-specialty care teams that improves patient care.
Read MoreIn a pioneering, randomized controlled study evaluating the effect of artificial intelligence (AI)-based software in real clinical practice, researchers found that AI significantly improved the detection of lung nodules on chest x-rays.
Read MoreThe Diagnostic Ultra-Portable X-ray for Space (DUXS) program achieved liftoff late last year by successfully obtaining medical diagnostic radiographic images in zero-gravity conditions—including a re-creation of one of the first x-ray images ever taken by Nobel Prize winner Wilhelm Conrad Röntgen.
Read MoreGerman researchers have produced dark-field x-ray images of patients infected with COVID-19. In contrast to conventional x-ray images, dark-field images visualize the microstructure of the lung tissue, thereby providing additional information.
Read MoreResearchers from Finland have developed an artificial intelligence-based neural network to detect an early knee osteoarthritis from x-ray images.
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