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Artificial Intelligence (AI) Health Outcomes Challenge

Launch Stage: CMS announced 25 Participants to advance to Stage 1 on October 30, 2019.

The 25 Participants, titles of proposed solutions and geographic locations are listed below: Participant: Accenture Federal Services Proposed Solution: Accenture Federal Services AI ChallengeGeographic Location: Arlington, Virginia Participant: Ann Arbor Algorithms Inc.

Proposed Solution: Actionable AI to Prevent Unplanned Admissions and Adverse EventsGeographic Location: Kenilworth, New Jersey Participant: North Carolina State University (NCSU) Proposed Solution: Multi-Layered Feature Selection and Dynamic Personalized ScoringGeographic Location: Raleigh, North Carolina Participant: Northrop Grumman Systems Corporation (NGSC) Proposed Solution: Reducing Patient Risk through Actionable Artificial Intelligence: AI Risk Avoidance System (ARAS)Geographic Location: Herndon, Virginia Participant: Northwestern Medicine Proposed Solution: A human-machine solution to enhance delivery of relationship-oriented careGeographic Location: Chicago, Illinois Participant: Observational Health Data Sciences and Informatics (OHDSI) Proposed Solution: OHDSI SubmissionGeographic Location: New York, New York Participant: University of Virginia Health System Proposed Solution: Actionable AIGeographic Location: Charlottesville, Virginia More information about Stage 1 submission requirements and evaluation criteria will be provided at a later date.

Artificial Intelligence For The World's Most Demanding Industries

Our systems utilize a unique hybrid approach, combining the best of conventional numeric AI approaches and the best of higher order symbolic AI techniques to deliver cognitive reasoning and intelligence that emulates human intuition.

Artificial Intelligence in Cardiology: Introduction to A.I.

Mayo Clinic cardiologist Francisco Lopez-Jimenez, M.D., discusses artificial intelligence in cardiology. To learn more, visit Artificial ..

Hospitals Artificial Intelligence / Artificial Intelligence in Medicine

Hospitals artificial intelligence is here. Artificial intelligence in medicine is going to become more common. The NHS is going to set up a national artificial ...

The Emergence of Distance Health: Top 10 Medical Innovations 2018

Extending the healthcare environment to the patient's home has been a goal for decades. Removing geographic barriers to care can result in timelier, more ...

How AI and Voice Technology Will Transform Healthcare | Teri Fisher | TEDxSanJuanIsland

Artificial Intelligence and voice technology (i.e. Amazon Alexa, Google Assistant, and others) are going to completely disrupt the way we experience healthcare.

Nigam Shah: Artificial Intelligence transforms health care

Read the full story on the Stanford Engineering website: Data analytics is revolutionizing health care – quietly, pervasively and in ..

Robots and AI changing the healthcare industry

4차산업혁명, 의료의 새 흐름 Big data, Internet of Things, and Artificial Inteligence. The reach of the fourth industrial revolution can be felt in almost every industry.

AI and Machine Learning in Health Programs

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Discussing the use of A.I. in health care | East Tech West

Medical resources are not deployed evenly in China — medical AI could smooth these issues over, explains Jim Wang, chairman and founder of the NovaVision ...

AI in China

The Chinese state run news agency Xinhua recently revealed the first Artificial Intelligence news anchor. They're now able to generate video of a newscaster ...

AI and Machine Learning in Medicine with Jonathan Chen

Medicine is ripe for applying AI, given the enormous volumes of real world data and ballooning healthcare costs. Professor Chen demystifies buzzwords, draws ...