image recognition

See the following -

Artificial Intelligence Achieves Near-Human Performance in Diagnosing Breast Cancer

Press Release | Beth Israel Deaconess Medical Center | June 19, 2016

Human and computer analyses together identify cancer with 99.5% accuracy. Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate...

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Halamka Sets Healthcare Innovation Priorities for 2017

As we begin 2017, what should be the focus of our work over the next year?... Regardless of the policies, repeals, and delays of the Trump administration, we’ll still need to optimize usability and support the four goals of value-based purchasing - quality measurement, total medical expense management, practice process improvement and technology adoption. BIDMC has already created a prototype of groupware documentation and we should complete our next generation inpatient documentation solution by mid 2017. Part of that work incorporates open source secure texting as part of the medical record. We’re also piloting Google’s G-suite so that our stakeholders can store/share, collaborate, and communicate on any device from anywhere using only a browser...

Visual Search Goes Open Source

Press Release | Zappen | August 17, 2017

Visual Search is now open source. Zappen® and Yes Exactly, Inc.® today announced a FOSS production-ready framework for mobile application development utilizing computer vision, image recognition, and augmented reality (AR) technologies. Previously, working implementations of visual search have only been available through proprietary APIs such as that offered by Google Lens (still in beta)...

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