Cognitive computing systems learn and interact naturally with people to extend what either humans or machines could do alone. IBM Watson was developed for a 2011 debut to answer questions on the quiz show “Jeopardy,” where it won first place. In 2013, IBM Watson was deployed for utilization management decisions in lung cancer treatment at Memorial Sloan-Kettering Cancer Center. A n umber of intriguing new applications of IBM Watson now include:
WatsonPaths and Watson EMR Assistant
IBM Research has announced two cognitive computing technologies that can be utilized by its Watson to help physicians make more informed and accurate decisions faster and choose new insights from electronic medical record (EMR). These technologies are created through a year-long research collaboration with faculty, physicians and students at Cleveland Clinic Lerner College of Medicine of Case Western Research University, and can be utilized by Watson in the domain of medicine. WatsonPaths is designed to augment the problem-based learning methods that Cleveland Clinic medical students employ in the classroom. Watson EMR Assistant is designed to unlock the promise of electronic medical records.
To learn more, visit:
http://www.research.ibm.com/cognitivecomputing/watson/watsonpaths.shtml#fbid=feqiSbUr_-I
IBM Watson helps oncology doctors identify treatment optionsAccording to ASCO, demand for oncology services by 2025 will grow by 45% while the supply of oncologists will grow by only 28%, leading to a shortage of over 1,487 oncologists. In addition, the amount of medical information available is doubling every three years and much of this data is unstructured. It’s impossible for physicians to find time to read every journal that can help them keep up to date with the latest advances. Given the growing complexity of medical decision making, IBM Watson for Oncology can help healthcare providers address these challenges. Trained by Memorial Sloan Kettering, it helps oncologists identify individualized evidence-based treatment options. It analyzes a patient’s medical information against a vast array of data, including expert training from MSK physicians, cancer case histories, established treatment guidelines, and published research to provide individualized, ranked, evidence based treatment options at the point of care.
To learn more, watch the video “Watson at Work”
http://www.ibm.com/smarterplanet/us/en/ibmwatson/implement-watson.html
Neurosynaptic Chips: A brain-inspired chip to transform mobility and Internet of Things (IoT) through sensory perception
For more details, visit:
http://www.research.ibm.com/cognitive-computing/neurosynaptic- chips.shtml#fbid=feqiSbUr_-I
Cognitive Computing- Artificial intelligence meets business intelligence
Big Data is growing rapidly not only in that it is increasing in volume, but also in speed, variety and uncertainty. Nowadays most data comes in unstructured forms such as videos, images, symbols and natural language. In order for business to process and makes sense of it, a new computing model is needed – cognitive computing systems that are trained using artificial intelligence (AI) and machine learning algorithms to senses, predict, infer and in some ways, think compared to being programmed to anticipate every possible answer or action needed to perform a function or set of tasks.
Learn more at:
http://www.research.ibm.com/cognitive-computing/index.shtml#fbid=feqiSbUr_-I
Reported by: Lynn Gu, MBA, MA
