Aidoc Medical Ltd.'s Care AI foundation model secured 11 new U.S. FDA-cleared indications for use in emergency department triage. Now, with 14 total cleared indications enabling comprehensive evaluation and prioritization of abdomen CTs in a single workflow, Aidoc Care can help health systems identify critical findings more quickly and mitigate delays caused by overcrowding and imaging backlogs.
The clearance by the U.S. FDA of Healthccsng V2.0, an artificial intelligence cardiac solution developed by Nano-x Imaging Ltd.’s (Nanox) subsidiary, Nanox.AI, is highly “significant” for the company and will offer “substantial” benefits to cardiology departments by significantly enhancing the detection of coronary artery calcification, Erez Meltzer, Nanox CEO told BioWorld.
Aidoc Medical Ltd. has just presented a study using its AI tool in the Netherlands Cancers Institute for detection and worklist prioritization to diagnose incidental pulmonary embolism at routine contrast-enhanced chest CT. The results published in Radiology: Cardiothoracic Imaging show a reduction by 15% of the missed rate of incidental pulmonary embolism and by more than 98% of the notification time for positive incidental pulmonary embolism. “Our AI system gives a response related to the interpretation, quantification and workflow management,” Elad Walach, co-founder and CEO of Aidoc Medical, told BioWorld. Due to the growing volume of radiology examinations, particularly in thoracic imaging, and the lack of supply radiologists, the delay between the CT examinations and their interpretation has increased significantly in many practices. This is particularly true for pulmonary embolism (PE).
Announcements of new radiology solutions enhanced by artificial intelligence (AI) and machine learning appeared almost daily in 2021, all promising more accurate diagnoses in less time and increased productivity and confidence for radiologists. Hospitals and health care systems have increasingly recognized the advantages of these systems, with Sage Growth Partners reporting that 90% of hospitals have an AI strategy in place, up from 53% in 2019, but the deployment lags, with only 34% of hospitals having installed an AI solution.
