Cognitive and AI - Where's the money?

Editor's Notes

• #11: AlphaGo is a AI designed by London based DeepMind (Acquired by google in 2014) whose purpose was to beat the worlds best players of the worlds toughest strategy game: https://techcrunch.com/2017/05/27/googles-alphago-ai-is-retiring/
• #12: This year 2 million women will be diagnosed with breast cancer worldwide. In the US, a recent study of breast cancer risk revealed that 1 in 8 women develop invasive breast cancer during her lifetime. (In India, 1 in 28.) As the most diagnosed cancer for women, in the last 20 years the number of therapies available for breast cancer treatment has increased from four to more than 800. But, it’s a challenge for oncologists to stay abreast of the latest research, therapies, and clinical trials. And the issue is growing exponentially across healthcare; in fact, by 2017 health data will grow by 99%. To keep up with this information, it would take a physician 160 hours of reading per week, when the average physician spends only five. So how can cognitive help? Bumrungrad International Hospital in Bangkok, Thailand – home to 580 beds and more than 30 specialty centers— and a network that spans 16 countries and four continents— in total 1.1 million patients— needed a way to give their oncologists access to world leading expertise without taking them away from patients to read and digest the latest information. So they chose IBM Watson for Oncology, trained by Memorial Sloan Kettering Cancer Center. Why IBM Watson? Why Cognitive? Unlike doctors, IBM Watson is not bound by volume, memory, or format. Using the power of cognitive, Watson can understand, reason and learn. It can read millions of unstructured documents in seconds. Since 2011 IBM has partnered with Memorial Sloan Kettering Cancer Center to train IBM Watson in the field of Oncology. During more than 15,000 hours of training by MSK, Watson ingested more than 600,000 pieces of medical evidence, 2 million pages of text, 1.5 million patient records and 26,000 clinical cases. In choosing IBM Watson for Oncology, Bumrungrad oncologists gained access to an expert cognitive advisor that helps them to make more informed, personalized treatment decisions for its cancer patients. So, for the next female patient- wife, mother, daughter, aunt- that comes in with breast cancer, oncologists at Bumrungrad can use IBM Watson to analyze relevant portions of her electronic medical record, including her family history, notes from prior office visits, and test results, then summarize and highlights aspects of her individual record and notes that are potentially significant to her cancer based on the expertise of oncologists at Memorial Sloan Kettering, and using IBM Watson for oncology they are provided with confidence-ranked, evidence-based personalized treatment options for this woman, something that they previously did not have the manpower to accomplish as personalized and confidently. What will you do with Watson? Key Stats 1 in 5 individuals are misdiagnosed - an alarming statistic. But it’s not the fault of the physician. It is estimated that the doubling time of medical knowledge in 1950 was 50 years; in 1980, 7 years; and in 2015, less than three years. An epidemiologist, according to a government study, would have to read 167 hours of research each week to keep up with the latest information. That is not humanly possible. This issue is growing exponentially across health care with medical data now doubling every 3 years. The average primary care doctor in the US has a caseload of 2,300 patients and spends 15 minutes per patient visit. As a result of the collaboration between IBM and Memorial Sloan Kettering, Watson for Oncology draws upon clinical expertise and over 20 years of experience and 1.5M patient records. Bumrungrad International Hospital is home to 580 beds and more than 30 specialty centers— and a network that spans 16 countries and four continents— in total 1.1 million patients. Today, clients in 36 countries, across 17 industries are applying cognitive technologies. 84% in healthcare believe it will play a disruptive role in the industry—and 60% believe they lack the skilled resources and technical expertise to achieve it. Healthcare data will grow 99%, and 88% of all healthcare data will be unstructured. It is coming from electronic medical records (EMRs), test results, medical images, and video, patient sensors such as wearables, bedside devices and implants. Medical image archives alone are increasing by 20–40% annually. Cognitive systems are designed to keep pace, serving as a companion for professionals to enhance their performance.
• #17: Kone / IBM article: https://www.ibm.com/blogs/internet-of-things/kone/
• #18: Image from IBM article: https://www-935.ibm.com/industries/consumerproducts/solutions/channel-partner-analytics-collaboration.html MetroPulse retail solution: http://www.insidesap.com.au/new-cognitive-solution-retail-consumer-goods-industries/