How Artificial Intelligence Will Change Medical Imaging
Artificial intelligence (AI) has captured the imagination and attention of doctors over the past couple years as several companies and large research hospitals work to perfect these systems for clinical use. The first concrete examples of how AI (also called deep learning, machine learning or artificial neural networks) will help clinicians are now being commercialized. These systems may offer a paradigm shift in how clinicians work in an effort to significantly boost workflow efficiency, while at the same time improving care and patient throughput. Today, one of the biggest problems facing physicians and clinicians in general is the overload of too much patient information to sift through. This rapid accumulation of electronic data is thanks to the advent of electronic medical records (EMRs) and the capture of all sorts of data about a patient that was not previously recorded, or at least not easily data mined.
Feb-25-2017, 21:30:08 GMT
- Country:
- North America > United States > Massachusetts (0.05)
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- Health & Medicine
- Diagnostic Medicine > Imaging (1.00)
- Health Care Providers & Services (1.00)
- Health Care Technology (1.00)
- Nuclear Medicine (1.00)
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- Health & Medicine
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