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AI-Powered Fracture Detectors

The Imagen OsteoDetect Helps Doctors Identify Broken Wrists

— May 29, 2018 — Tech
The FDA has recently begun greenlighting its fair share of AI-powered medical tech, but its latest approval of the Imagen OsteoDetect shows just how far medical AI technology has come. The new diagnostics tool was purpose-built to quickly detect distal radius wrist fractures and does so using machine learning algorithm studies. The AI gathers knowledge from 2D X-rays and uses this knowledge search for signs of fractures and marks them for closer studies.

The Imagen OsteoDetect is not meant to replace doctors of clinicians, but instead aims to improve their diagnosis times and accuracy. Early studies have shown that the Imagen OsteoDetect has been able to drastically help doctors make a final diagnosis and Imagen hopes that further use will drastically reduce hospital wait times for breaks and fractures.


Image Credit: Katarzyna Bialasiewicz/Getty Images
Trend Themes
1. AI-powered Medical Diagnostics - The development of AI-powered diagnostics tool shows vast potential in improving accuracy and efficiency of medical diagnosis.
2. Machine Learning in Radiology - Incorporating machine learning algorithms into medical imaging can significantly improve detection of complex conditions.
3. Digital Health Innovation - The adoption of medical AI technology is rapidly growing, leading to a new era of digital health innovation.
Industry Implications
1. Healthcare - The healthcare industry can benefit greatly from the integration of AI-powered diagnostics tool, leading to improved overall patient care.
2. Medical Imaging - Medical imaging industry can embrace the potential of machine learning algorithms to improve accuracy and efficiency of radiology diagnosis.
3. Technology - The AI-powered medical technology industry is growing and has the potential to revolutionize the healthcare sector.
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