GE Healthcare launched an artificial intelligence-powered chest X-ray analysis suite, designed to spot and highlight eight common conditions, using algorithms built by the South Korean startup Lunit. Lunit’s Insight CXR program is designed to scan thoracic X-rays and label the probable signs of diseases such as tuberculosis and pneumonia, including that linked to COVID-19, as well as fibrosis, pneumothorax and the existence of potentially cancerous lung nodules. “The launch of our Thoracic Care Suite is a part of GE Healthcare’s larger effort to help ensure clinicians and partners on the front lines have the equipment they need to quickly diagnose and effectively treat COVID-19 patients,” GE Healthcare President and CEO Kieran Murphy said in a statement. “The pandemic has proven that data, analytics, AI and connectivity will only become more central to delivering care.” The AI overlays its results on top of the X-ray image, outlining the location of an abnormality along with a score that estimates the probability of the finding. The software also generates case reports summarizing each evaluation. Lunit’s algorithms previously received a CE Mark in November 2019, and have been used clinically in Korea, China, Thailand, Mexico and the United Arab Emirates.
RSIP Vision announced a new set of AI-based medical ultrasound modules. These advanced modules will serve as AI-based building blocks for a variety of applications, ranging from automated diagnosis, measurement, and volume estimation, to advanced procedure planning and in-op guided tracking. When integrated into third-party ultrasound carts, PACS systems, and proprietary cloud platforms, these modules will enable a new set of innovative capabilities in a wide range of domains, such as urology, OBGYN, general imaging, cardiac procedures, and more. These new building blocks will enable new applications, including biopsy guidance, automated measurements and function evaluation in cardiac ultrasound, 3D reconstruction, and patient screening. "Ultrasound is extremely user dependent and can be challenging to interpret. These innovative AI modules help medical teams make quick and accurate clinical decisions and lower the dependence on teams' experience," says Dr. Rabeeh Fares, Radiologist; Department of Diagnostic Radiology, Sourasky Medical Center, Tel Aviv, Israel.
Headlines curated and edited by Seth Schachter, Associate at DeciBio Consulting
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