Our Knowledge Center
The Knowledge Center is a comprehensive repository of information dedicated to the imaging industry. It offers a wide array of expert articles, cutting-edge research, and practical guides on the latest advancements in imaging technology. Designed for healthcare professionals, this resource hub provides valuable insights and updates to help you stay informed and excel in your field.
Article Non-Alcoholic Fatty Liver Disease, Heart Failure, and Long-Term Mortality: Insights From the National Health and Nutrition Examination Survey
To evaluate the association between non-alcoholic fatty liver disease (NAFLD), heart failure (HF), and all-cause mortality. Both NAFLD and HF are increasing in prevalence due to shared risk factors.
Article Use of AI opportunistic screening in CT for cardiovascular disease
“We’re finding that when you apply AI to these non-cardiac chest CTs, it’s possible to detect coronary calcifications in patients who may otherwise go unnoticed,” explained Ron Blankstein, MD
Article Nanox Highlighted on TIME’s Best Inventions of 2024 List for its AI Solutions
Nanox AI’s Solutions selected for Special Mention on annual list recognizing the most impactful new products and ideas
Article AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease
This new AASLD Guidance document reflects many advances in the field pertinent to any practitioner caring for patients with NAFLD and emphasizes advances in noninvasive risk stratification and therapeutics.
Article Detection of Moderate Hepatic Steatosis on Portal Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool
Precontrast CT is an established means of evaluating for hepatic steatosis; postcontrast CT has historically been limited for this purpose.
White Papers A recent study suggests high clinical and economic efficacy for opportunistic screening using the AI tools. Nanox.AI solutions can enable and simplify cost savings by helping detect and report opportunistic findings related to chronic diseases
To assess the cost-effectiveness and clinical efficacy of AI-assisted abdominal CT-based opportunistic screening for atherosclerotic cardiovascular (CV) disease, osteoporosis, and sarcopenia using artificial intelligence (AI) body composition algorithms.
White Papers In the study population – NanoxAI Bone tool helped detect more patients at-risk of osteoporosis when comparing to standard of care (FRAX)
Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3-6, are underutilized.
White Papers Vertebral fractures are often undiagnosed and missed by FLSs. We have demonstrated the impact of an AI-enabled vertebral fracture FLS pathway using existing CT images on anti-osteoporosis treatment adherence
One-year Anti-Osteoporosis Medication Use in Patients Identified by an AI-enabled Vertebral Fracture Pathway in the Fracture Liaison Service Setting
White Papers Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization
Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3,4,5,6, are underutilized. We assessed the feasibility of automatic, opportunistic fracture risk evaluation based on routine abdomen or chest computed tomography (CT) scans.
White Papers Compression Fractures Detection on CT
The presence of a vertebral compression fracture is highly indicative of osteoporosis and represents the single most robust predictor for development of a second osteoporotic fracture in the spine or elsewhere. Less than one third of vertebral compression fractures are diagnosed clinically
10 Minutes reading
White Papers Validation of HealthOST by Nanox.AI
image processing software that provides qualitative and quantitative analysis of the spine from CT images to support clinicians in the evaluation and assessment of musculoskeletal disease of the spine
10 Minutes reading
White Papers Real-world performance of AI enabled vertebral fracture (VF) algorithm for fracture liaison studies: The ADOPT Study
Fewer than 30% of vertebral fragility fractures (VFs) are reported on routine clinical CT scans by radiologists
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