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Artificial Intelligence in Healthcare Market to Grow at a CAGR of 48% by 2023: Driven by the Rise in Adoption Rate of AI Systems - Research and Markets

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DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Healthcare Market by Offering - Global Opportunity Analysis and Industry Forecast, 2017-2023" report has been added to Research and Markets' offering. The market growth is driven by rise in adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase in need for coordination between healthcare workforce & patients are expected to fuel the market growth. Increase in usage & application of AI systems is expected to improve patient outcomes and maintain electronic health records (EHR) & patient records to boost the market growth.


AI is targeting some of the world's biggest problems: homelessness, terrorism, and extinction

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"[These projects] bring up completely new kinds of AI problems because working with low resource communities, data is sparse, as opposed to being plentiful. The USC Center for AI in Society is a collaboration between computer science and social science schools at USC, an ambitious initiative created to cross-pollinate ideas between the two disciplines in order to solve some of the world's biggest problems. Created in 2013, the program focuses on problems found in the 12 Grand Challenges of social work and the United Nations' Sustainable Development Goals. So we're really collaborating across schools in terms of engineering and AI and social work, and it's bringing up completely new sets of challenges to the core in terms of problems that the AI community has tackled," Tambe told VentureBeat in a phone interview.


Groundbreaking drug could treat childhood Alzheimer's

Daily Mail

The disease, Niemann-Pick type C (NPC), causes cholesterol build up in the neurons, leading to enlarged organs, lung damage, muscle stiffness, seizures, dementia and difficulty speaking. The test, which is called the NPC Neurological Severity Score, helps assess eye movement, gait, speech, swallowing, fine motor skills, cognition, hearing, memory and presence and severity of seizures. The historical data showed patients' scores increased - meaning the disease worsened - an average of 2.9 points per year. The progressive, fatal condition, officially known as Niemann-Pick disease type C, causes enlarged organs, lung damage, muscle stiffness, dementia and difficulty speaking.


How Machine Learning is Changing Recruiting - TalentCulture

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Let's explore how machine learning is changing recruiting. From all that data, Belong generates a tailored, SERP-esque database of matches, each unique to the company and the position. Belong's method reportedly gets a minimum of a threefold increase in company-candidate engagement rates. Shelly Kramer is a 20 year marketing veteran and CEO of V3 Broadsuite, a marketing consultancy, and the President of Broadsuite Media Group.


Google develops computer program capable of learning tasks independently

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The agent uses a method called "deep learning" to turn the basic visual input into meaningful concepts, mirroring the way the human brain takes raw sensory information and transforms it into a rich understanding of the world. The agent is programmed to work out what is meaningful through "reinforcement learning", the basic notion that scoring points is good and losing them is bad. In videos provided by Deep Mind, the agent is shown making random and largely unsuccessful movements at the start, but after 600 hundred rounds of training (two weeks of computer time) it has figured out what many of the games are about. Hassabis stops short of calling this a "creative step", but said it proves computers can "figure things out for themselves" in a way that is normally thought of as uniquely human.