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New AI Mental Health Tools Beat Human Doctors at Assessing Patients

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About 20 percent of youth in the United States live with a mental health condition, according to the National Institute of Mental Health. The good news is that mental health professionals have smarter tools than ever before, with artificial intelligence-related technology coming to the forefront to help diagnose patients, often with much greater accuracy than humans. A new study published in the journal Suicide and Life-Threatening Behavior, for example, showed that machine learning is up to 93 percent accurate in identifying a suicidal person. The research, led by John Pestian, a professor at Cincinnati Children's Hospital Medical Center, involved 379 teenage patients from three area hospitals. Each patient completed standardized behavioral rating scales and participated in a semi-structured interview, answering five open-ended questions such as "Are you angry?" to stimulate conversation, according to a press release from the university.


IBM & Broad Institute Launch Major Research Initiative

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CAMBRIDGE, MA - 10 Nov 2016: IBM Watson Health (NYSE: IBM) and the Broad Institute of MIT and Harvard today announced a research initiative aimed at discovering the basis of cancer drug resistance. The five year, $50 million project will study thousands of drug resistant tumors and draw on Watson's computational and machine learning methods to help researchers understand how cancers become resistant to therapies. The anonymized data will be made available to the scientific community to catalyze research worldwide. IBM Watson Health and the Broad Institute bring the data prowess of Watson to study cancer drug resistance in a $50M research collaboration. The goal is to identify patterns that could reveal clues into one of the greatest medical mysteries of cancer.


New AI Mental Health Tools Beat Human Doctors at Assessing Patients

#artificialintelligence

About 20 percent of youth in the United States live with a mental health condition, according to the National Institute of Mental Health. The good news is that mental health professionals have smarter tools than ever before, with artificial intelligence-related technology coming to the forefront to help diagnose patients, often with much greater accuracy than humans. A new study published in the journal Suicide and Life-Threatening Behavior, for example, showed that machine learning is up to 93 percent accurate in identifying a suicidal person. The research, led by John Pestian, a professor at Cincinnati Children's Hospital Medical Center, involved 379 teenage patients from three area hospitals. Each patient completed standardized behavioral rating scales and participated in a semi-structured interview, answering five open-ended questions such as "Are you angry?" to stimulate conversation, according to a press release from the university.


Health Catalyst Launches Open Source Machine Learning: healthcare.ai

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Use of machine learning and predictive analytics to improve health outcomes has so far been limited to highly-trained data scientists, mostly in the nation's top academic medical centers. By making its central repository of proven machine learning algorithms available for free, healthcare.ai The healthcare.ai site provides one central spot to download algorithms and tools, read documentation, request new features, submit questions, follow the blog, and contribute code. Health Catalyst is a mission-driven data warehousing, analytics and outcomes-improvement company that helps healthcare organizations of all sizes perform the clinical, financial, and operational reporting and analysis needed for population health and accountable care. Our proven analytics platform helps improve quality, add efficiency and lower costs in support of more than 70 million patients for organizations ranging from the largest US health system to forward-thinking, small physician practices.


Koninklijke Philips : Philips introduces new data-driven intelligent solutions connecting patients, practitioners and processes at the 2016 Radiological Society of North America Meeting 4-Traders

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Royal Philips (NYSE: PHG, AEX: PHIA) today unveiled a series of intelligent and comprehensive connected radiology solutions at the 2016 Radiological Society of North America Annual Meeting (RSNA), beginning November 27 through December 1 at McCormick Place in Chicago. At the Philips booth (#6735), RSNA attendees will experience a new portfolio of digital imaging systems, intelligent software and services to enhance diagnostics, improve patient care and operational efficiencies. Radiology is at the center of the majority of healthcare decisions, driving the timely detection and accurate diagnosis and treatment of disease at its earliest stages. As health organizations continue to move toward value-based care, they need intelligent solutions to meet the challenges they face in improving outcomes, lowering cost of healthcare delivery and enhancing patient satisfaction. "Radiologists are playing a pivotal role in determining the right path to the right treatment," said Robert Cascella, CEO, Diagnosis and Treatment, Philips.


New artificial intelligence technique could erase fear from your brain

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Imagine if your fear of spiders, heights or confined spaces vanished, leaving you with neutral feelings instead of a sweat-soaked panic. A team of neuroscientists said they found a way to recondition the human brain to overcome specific fears. Their approach, if proven in further studies, could lead to new ways of treating patients with phobias or post-traumatic stress disorder (PTSD). The international team published their findings Monday in the journal Nature Human Behaviour. About 19 million U.S. adults, or 8.7 percent of the adult population, suffer prominent and persistent fears at the sight of specific objects or in specific situations, according to the National Institute of Mental Health.


Zebra Medical Vision Launches Profound: Get an Analysis of Your Medical Scan From the Comfort of Your Own Home

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New analytics engine for users allows anyone to receive fast, accurate imaging analysis for key clinical conditions, by simply uploading their scans to Zebra's online system Zebra Medical Vision (https://www.zebra-med.com/), the leading machine learning imaging analytics company, is launching Profound (http://profound.zebra-med.com) The company's new service allows people to upload their medical imaging scans such as CTs and Mammograms to Zebra's online service, and receive an automated analysis for key clinical conditions. said Elad Benjamin, co-founder and CEO of Zebra Medical Vision. From research to reality and commercialization, Zebra Medical Vision uses big data to deliver large scale clinical research platforms and next generation imaging analytics services to the healthcare industry. The Zebra Research Platform provides researchers the largest structured clinical data set globally, and makes it available for research, including a complete development, hosting, storage and computing environment, and follow-on regulatory and commercialization services.


New artificial intelligence technique could erase fear from your brain

Mashable

Seymour said the team realized that volunteers' brains still showed signs of that specific fear memory, even when they were resting and not consciously aware of the fear. "In effect, the features of the [fear] memory that were previously tuned to predict the painful shock were now being re-programmed to predict something positive instead," said Ai Koizumi, the study's lead author and a researcher at the Center of Information and Neural Networks in Osaka, Japan. At the end of the reward therapy, the neuroscientists showed volunteers the same pictures that were previously associated with the electric shocks. "This meant that we'd been able to reduce the fear memory without the volunteers ever consciously experiencing the fear memory in the process," Koizumi said in the press release.


43% CAGR - MLaaS (Machine Learning as a Service) Market Growth Potentially Worth $3755 Million by 2021 Led by Healthcare Industry

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PUNE, India, Nov. 3, 2016 /PRNewswire-iReach/ -- The need to enhance the decision-making capability of machines is driving the Machine Learning as a service (MLaaS) market. MLaaS with the help of pattern recognition, advanced analytical methodologies, and APIs is able to make better decisions. With the use of machine learning algorithm, decision-making abilities improve over time without being explicitly programmed. However, the lack of skilled consultants to deploy machine learning services and government and compliance issues are limiting the growth of MLaaS solutions in the market. Healthcare industry among all the verticals is expected to gain the maximum traction during the forecast period.


IBM Is Counting on Its Bet on Watson, and Paying Big Money for It - NYTimes.com

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IBM is collaborating with Quest Diagnostics, the medical laboratory company, to offer gene sequencing and Watson diagnostic analysis, as a cloud service, to oncologists treating cancer patients, starting on Monday. The artificial intelligence marketplace, analysts agree, is primed to grow rapidly. The market -- defined as A.I.-related hardware, software and services -- will surge from $8 billion this year to $47 billion by 2020, predicts IDC, a research firm. The byline for an article on Monday about IBM's efforts to commercialize Watson, its artificial intelligence technology, was omitted.