IBM Watson aligns with 16 health systems and imaging firms to apply cognitive computing to battle cancer, diabetes, heart disease


IBM Watson Health has formed a medical imaging collaborative with more than 15 leading healthcare organizations. The goal: To take on some of the most deadly diseases. The collaborative, which includes health systems, academic medical centers, ambulatory radiology providers and imaging technology companies, aims to help doctors address breast, lung, and other cancers; diabetes; eye health; brain disease; and heart disease and related conditions, such as stroke. Watson will mine insights from what IBM calls previously invisible unstructured imaging data and combine it with a broad variety of data from other sources, such as data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published outcomes studies. As the work of the collaborative evolves, Watson's rationale and insights will evolve, informed by the latest combined thinking of the participating organizations.

Medtronic, IBM Watson launch Sugar.IQ diabetes assistant


Two years after originally announcing it, Medtronic and IBM Watson have launched their joint platform the Sugar.IQ, a digital diabetes assistant. "It is designed for people who are currently using Guardian Connect; so made for people on multiple daily injections. It is a personal assistant a little bit like Alexa or Siri," Huzefa Neemuchwala, global head of digital health solutions and AI at Medtronic, said in a Facebook live informational session. "It is an intelligent assistant that keeps track of all of your information and has all of your information in one place. Then through Watson technology we use this information to power insights so we can better manage your diabetes so that you can spend more time in range."

IBM's Watson Health, American Diabetes Association partner on cognitive apps, analytics


IBM's Watson Health and the American Diabetes Association have outlined a multi-year partnership to analyze clinical and research data to better manage diabetes. The partnership was outlined at the American Diabetes Association's (ADA) annual scientific powwow in New Orleans. The goal is to use data to build cognitive applications for doctors, researchers and patients. Watson Health and the ADA have been working together to analyze 300,000 patient records to model outcomes and the disease as well as manage care. Apple, acquisitions, and adherence: Inside IBM's Watson Health unit IBM Watson-powered app aims to make hospital visits less daunting for young patients IBM's bet on cognitive computing, Watson will take time to pay off IBM acquires Truven Health Analytics for 2.6 billion to bulk up Watson Health According to IBM, Watson's APIs have been used in the field for about two years.

IBM Watson: Style and Substance


IBM Watson, the distributed natural language processing platform, isn't the only advanced system available, but it's the highest-profile and arguably the most sophisticated. It's also important to recognize how shrewdly Watson is being marketed. Even before Watson was Watson, IBM was adept at generating publicity for its futuristic computing activities. Most famously, Big Blue beat world chess champion Garry Kasparov in 1997. Four years later, Watson, in a form far more rudimentary than today's commercialized version, beat Ken Jennings, the human Jeopardy!

Beyond the hype: The reality of what AI means for business - IBM Watson


The adoption and application of Artificial Intelligence (AI) continues to accelerate at an exponential rate in modern businesses. As referenced in the 2017 Tech Trend Report, AI is nearing completion of the next layer in technological advancement, integrated into everything individuals and organizations do. This trajectory is predicted to drive cumulative worldwide spending of $40.6 billion on AI projects by 2024 – according to Raconteur. This is expected to create mass opportunity for the pioneering businesses currently investing in AI development. Moving beyond the hype in existing media coverage, this post will uncover the reality behind what AI means for businesses today, in the near future, and beyond 2017.