cognitive computing

See the following -

Four Lessons In The Adoption Of Machine Learning In Health Care

Ernest Sohn, Joachim Roski, Steven Escaravage, and Kevin Maloy | Health Affairs | May 9, 2017

The March issue of Health Affairs demonstrates the potential of health care delivery system innovation to improve value for both patients and clinicians. Technology innovations such as machine learning and artificial intelligence systems are promising breakthroughs to improve diagnostic accuracy, tailor treatments, and even eventually replace work performed by clinicians, especially that of radiologists and pathologists. Machine-learning systems infer patterns, relationships, and rules directly from large volumes of data in ways that can far exceed human cognitive capacities...

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Foxconn Constructs HTML5 Smart Cross-Platform Integrating Support For Eight Screens, Internet And Cloud

Staff Writer | DigiTimes | February 21, 2014

The prospects of smart applications, which are needed to serve the purposes of cloud-based networks of sensing devices, IoT (Internet of Things) and terminal devices, have triggered strong interests in Big Data and inspired imaginations of next-generation cognitive computing and artificial intelligence. [...] Read More »

IBM Research Scientists Investigate Use of Cognitive Computing-Based Visual Analytics For Skin Cancer Image Analysis

Press Release | IBM | December 17, 2014

IBM (NYSE: IBM) announced today a collaboration with Memorial Sloan Kettering to research the application of cognitive computing to analyze dermatological images of skin lesions with the goal of assisting clinicians in the identification of various cancerous disease states. The technology, which learns by identifying specific patterns in medical images, has the potential to increase the number of cases detected and help clinicians make earlier diagnoses...

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Using open innovation and cognitive computing to solve healthcare's vexing problems

Nicole Gardner | Modern Healthcare | December 4, 2015

Open innovation can help healthcare organizations learn from each other to benefit a broader innovation network, while cognitive systems can learn from training by experts, from every interaction, and from continually ingesting new sets of data. In fact, they never stop learning. The IBM report highlights how agencies are employing open innovation across healthcare technology systems. Applying cognitive computing would further promote that innovation.

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