Medical Imaging Leaders Tap IBM and Watson to Tackle Cancer, Diabetes, Eye Health, Brain Disease and Heart Disease - Seite 2

"There is strong potential for systems like Watson to help to make radiologists more productive, diagnoses more accurate, decisions more sound, and costs more manageable," said Nadim Michel Daher, a medical imaging and informatics analyst for Frost & Sullivan. "This is the type of collaborative initiative needed to produce the real-world evidence and examples to advance the field of medical imaging and address patient care needs across large and growing disease states."

Recent studies reveal that inadequate, unnecessary, uncoordinated, and inefficient care and suboptimal business processes eat up at least 35%—and maybe over 50%—of the more than $3 trillion the United States spends annually on healthcare. That suggests more than $1 trillion is being squandered.¹ Watson Health aims to help healthcare professionals improve care and reduce waste by enabling enhanced utilization of medical imaging data and providing cognitive offerings and services that support a doctor's ability to make tailored medical recommendations personalized to each patient's unique needs.

"With the ability to draw insights from massive volumes of integrated structured and unstructured data sources, cognitive computing could transform how clinicians diagnose, treat and monitor patients," said Anne Le Grand, who recently joined IBM as vice president of Imaging for Watson Health. Ms. Le Grand brings more than 30 years' experience building global businesses that operate at the intersection of imaging, informatics, diagnostics and professional services. "Through IBM's medical imaging collaborative, Watson may create opportunities for clinicians to extract greater insights and value from imaging data while better managing costs."

How Watson's Ability to Analyze Image Data Could Transform Care

Members of the collaborative are expected to team with Watson Health cognitive computing experts to train Watson on cardiovascular disease, eye health and other conditions using data provided by the members of the collaborative or from population-based disease registries, which house millions of de-identified cases from around the world. To help create new solutions powered by Watson, the industry members of the collaborative could integrate Watson into their workflow systems or image management software.