The role of medical imaging in global health systems is literally fundamental. Like labs, medical images are used at one point or another in almost every high cost, high value episode of care. CT scans, mammograms, and x-rays, for example, “atlas” the body and help chart a course forward for a patient’s care team. Imaging precision has improved as a result of technological advancements and breakthroughs in related medical research. Those advancements also bring with them exponential growth in medical imaging data. As IBM trains Watson to "see" medical images, Ms. Le Grand will discuss recent advances made by Watson Health and explore the potential value of "augmented intelligence" to assist healthcare providers like radiologists and cardiologists, as well as the patients they serve.
Anne LeGrand, "An atlas of the (near) future: cognitive computing applications for medical imaging (Conference Presentation)," Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 1013307 (Presented at SPIE Medical Imaging: February 12, 2017; Published: 2 May 2017); https://doi.org/10.1117/12.2256193.5361903386001.
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