How cognitive computing can help predict diabetes risk

What if there were a way for analytics to predict which patients are at higher risk of developing diabetes that could help physicians possibly intervene to prevent it?

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Finding new ways to impact lives: social programs in the cognitive era

Cognitive computing refers to systems that can learn at scale, reason with purpose and interact with humans naturally. These systems are designed to combine human intelligence with a range of artificial intelligence capabilities such as machine learning, natural language processing, and image analysis. This powerful combination amplifies the impact of what humans and machines can […]

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The rise of the health cloud

In a world of increasingly connected patients and devices, the global healthcare and life sciences community has a renewed – and some would say sharpened – focus on improving patient engagement and health outcomes.

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Connecting medical imaging with patient history through cognitive computing

Radiologists spend just one third of their time on image interpretation. For the majority of the day they are either supervising studies, performing image-guided procedures, teaching, in meetings, consulting with physicians, or directly caring for patients. Their work day is dynamic and full of interruptions, making effectiveness in the reading room an ongoing challenge. Being efficient […]

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Using Watson to stay on top of cancer care data

In 2012, an estimated 14.1 million people were diagnosed with cancer worldwide, and my country, Slovakia, ranks 22nd in terms of overall cancer frequency. As the incidence of cancer continues to grow and time constraints on oncologists intensify, the need for research and treatment innovation is more important than ever. The good news for patients […]

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The impact of the cloud in healthcare, today and tomorrow

In a world of increasingly connected patients and devices, the global healthcare and life sciences community has a renewed – and some would say sharpened – focus on improving patient engagement and health outcomes. As a result, many are exploring how an enterprise health cloud can support these efforts. What are they looking for? Health […]

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Value-Based healthcare: Using predictive analytics to forecast risk and outcomes

Healthcare delivery already relies on a variety of predictive analytics. More advanced models, including cognitive computing, are now entering the market to help improve healthcare outcomes.

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Momentum builds for IBM Watson’s moonshot

The World Health Organization reports the number of new cancer cases is expected to rise by about 70 percent over the next two decades even as there is a shortage of cancer doctors around the world.

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A trusted treatment option from Watson: Why concordance studies matter

Hearing diverse opinions from multiple oncologists is an important part of a patient’s journey, what’s often referred to as getting a second – or third – opinion. And cancer docs, too, frequently consult with one another to confirm a decision or provide a new idea. That’s understandable because cancer is a complex and sometimes elusive […]

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Three principles for bringing augmented intelligence to life sciences

In today’s healthcare system, we are not getting the value for the costs we are spending. It’s a complex issue with an equally complex set of potential solutions. But as the industry shifts to value-based care, we’ve reached a tipping point.

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Introducing IBM Watson Imaging Clinical Review

The first cognitive solution from Watson Health’s medical imaging business, IBM Watson Imaging Clinical Review, is generally available to healthcare providers as of today.

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Identifying the right patients and saving valuable time

In this video, Rob Zimmerman, MD, Assistant Medical Director at Excela Health Medical Group shares how Excela uses IBM Watson Health tools to identify and contact patients with care gaps, and discusses the success the organization has achieved in bringing patients in for an office visit or preventative testing.

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