Start Ups Using Artificial Intelligence In Health Care

By : |March 15, 2016 0

Artificial Intelligence is the buzzword these days. It has become the most popular component of many innovative software startups that are seeking to redefine their markets. But whenever we hear this word, a plethora of voices can be heard in the background raising concerns about long-term consequences of AI uses.

Among these skeptics is one Elon Musk, Co-founder, Tesla Motors, who sees AI “more dangerous than nukes”. Stephen Hawking has also echoed similar fears, predicting that “the development of full artificial intelligence could spell the end of the human race.” Though these concerns carry weight and need to be addressed responsibly, the changes and the advancement that the world is witnessing due to AI and machine learning techniques suggest that technology is in safe hands.

Artificial intelligence is enjoying a renaissance thanks to better data and computing capacity as well as all the attention showered on products like IBM’s dashing Watson, Facebook’s personal assistant M and large AI acquisitions from Google and Apple. Hundreds of millions of dollars are now being invested in AI startups.

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Healthcare is one of the industries witnessing a revolution of sorts, thanks to AI and computer learning. AI with its large amounts of data is providing medical professionals, scientists, and drug makers with deeper insights into diagnosis, cure and treatment of debilitating conditions.Similarly Data Mining, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, are contributing with new artifacts and new knowledge for health professionals.

These are few startups that are working on AI’s application in healthcare and medicine.

Enlitic uses deep learning and image analysis for faster, more accurate, and more accessible medical diagnostics. The company aims to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of the type – medical images, doctors’ notes, structured lab tests, and so forth.

Lumiata provides predictive health analytics and credits itself with developing the world’s first medical graph. The medical graph analyzes myriads of valuable data points, allowing Lumiata to deliver real-time predictive analytics that helps hospitals and insurance carriers provide higher quality care to more patients in less time. It provides accurate insights and predictions related to symptoms, diagnoses, procedures, and medications.

Ginger.io works on state-of-the-art predictive models developed by MIT scientists and engineers. Ginger.io basically deals with psychological disorders like depression and anxiety. It uses a combination of smartphone technology, data science, and clinical services to create a personalized, affordable way to deliver mental health care. Ginger.io helps people analyze their mood over time, learn proven coping strategies developed by medical experts, and receive additional mental health support as needed.

MedAware provides innovative solutions which help save lives, improve patient safety and in reducing healthcare costs, by identifying and preventing prescription errors in real-time. MedAware offers a range of alerting and risk management decision support mechanisms, targeted at improving patients’ safety and healthcare quality.

Wellframe is building the next generation of infrastructure for healthcare delivery using AI to deliver a mobile-enabled care management platform. This startup partner with leading health plans, providers, and other healthcare stakeholders to extend the reach of care management services to support patients toward improved experience, care plan adherence, and health results.

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