- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
AI Software HealthOST Gets FDA 510(k) Clearance for Enhanced CT Analysis of Vertebral Compression Fractures
The new artificial intelligence-powered software from Nanox reportedly identifies findings suggestive of compression fractures and low density on computed tomography (CT) images and facilitates more precise measurement of these fractures.
Seventy-five percent of compression fractures are misdiagnosed or not reported, according to the World Congress of Osteoporosis. However, an emerging artificial intelligence (AI) software platform, which just received FDA 510(k) clearance, may help improve the assessment of vertebral compression fractures with computed tomography (CT).
Nanox said the AI software HealthOST provides enhanced qualitative and quantitative analysis of spine CT images to help assess patients for musculoskeletal diseases such as osteoporosis. This analysis includes:
• labeling of T1-L4 vertebrae
• measurement of height loss in each of these vertebra
• measurement of mean Hounsfield units (HUs) in volume of interest within vertebra (T11-L4)
Indicated for patients 50 years of age and older who are getting CT imaging for at least four vertebrae in either the T1-L4 or T11-L4 areas of the spine, HealthOST helps detect findings that are suspicious for possible compression fractures and low bone density, according to Nanox.
“With the FDA clearance of HealthOST, we are thrilled to offer radiologists a new tool that provides deeper analysis of medical images to support identifying these patients who may be at risk of developing prevalent musculoskeletal conditions, such as osteoporosis, to help promote further workup and treatment of these patients,” noted Pini Ben Elazar, the general manager of Nanox.AI.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.
New Study Examines Agreement Between Radiologists and Referring Clinicians on Follow-Up Imaging
November 18th 2024Agreement on follow-up imaging was 41 percent more likely with recommendations by thoracic radiologists and 36 percent less likely on recommendations for follow-up nuclear imaging, according to new research.
