If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Solutions integrate patient-level data from EHRs to assess risks and other factors. At HIMSS17 in Orlando, IBM Watson Health unveiled a series of value-based cloud solutions aimed at helping providers, health plans, and employers better manage their healthcare costs and quality. The solutions integrate patient-level data from EHRs and other sources to create a better picture of patient populations, risk factors, and other red flags at the individual, group, and population level in order to improve patient outcomes under the new value-based payment models. "Healthcare organizations are operating in a complex and fluctuating business environment, one in which the insights they need to succeed can be hidden amidst an avalanche of disparate and siloed data," says Deborah DiSanzo, General Manager of IBM Watson Health. The new applications, available later this year, will include: Provider Performance Manager, Engagement Manager, Bundled Payments Forecasting and Management, and Custom analytics.
Machine learning coupled with the explosion of data offers the very real possibility of addressing the most intractable problems in healthcare. For the first time, data is helping to answer healthcare's toughest questions. Like Google's Research Director Peter Norvig, I too believe it's not better algorithms that are fueling our advancement. Instead, it's the surge in data sources and the innate ability of machine learning to automatically apply complex calculations to vast stores of data and derive rules that help us to understand the correlations, patterns and predictions within the data. In 2015, our country spent $3.2 trillion a year on healthcare, or $9,990 per person, and the actuaries at the Centers for Medicare & Medicaid Services project the total to rise to nearly $5.6 trillion in 2025.
Already established as a major player in artificial intelligence, Microsoft Corp.. is aiming to make the technology a foundation of the healthcare industry with the launch Thursday of a new partnership program called Healthcare NExT. The program brings together Microsoft's latest innovations in AI with its Azure cloud computing capabilities in an effort to advance medical research and improve patient care, said Peter Lee, corporate vice president of Microsoft Research NExT. He added that the new program will "deeply integrate greenfield research and health technology product development," while also helping the company establish a new model for strategic health industry partnerships. "Our goal is to enable a new wave of innovation and impact using Microsoft's deep AI expertise and global-scale cloud," Lee wrote in a blog post announcing the program. As part of the initiative, Microsoft is teaming up with the University of Pittsburgh Medical Center on the first Healthcare NExT strategic research partnership.
San Francisco start-up Forward is betting its hands-on--and very digital approach--to treating patients will help to carve out a niche for the new company in the emerging market for personalized and concierge-style healthcare. Founded by CEO Adrian Aoun, who previously worked as director of special projects for Google, Forward is attempting to shift the traditional healthcare model away from immediate and reactive care to proactive care through the use of technology and artificial intelligence. Google acquired Aoun's first start-up, Wavii.com, in 2014 in a $30 million deal. Wavii became the hub of Google's artificial intelligence business unit to develop more natural language and personal assistant technologies such as voice-activated search queries for the Google search engine. Now Aoun is turning his attention to digital healthcare.
The company has developed a kind of "App Store" for medical care complete with 40 predictive and prescriptive apps targeting Physicians, Care Managers, Hospital Ops and Finance teams. Their claim is what used to take months to build and deploy, can now happen in a matter of weeks at a significant cost reduction regarding both deployment and ongoing platform operation. The market opportunity is huge. The United States has the biggest healthcare industry in the world, spending approximately $3 trillion a year. By 2018, healthcare will comprise close to 18% US gross domestic product.
Technology is rapidly changing how people do everything; from taxis to food delivery, from dating to media consumption and everything in-between. There have been many visible ways in terms of technology impacting healthcare. From microscopes & stethoscopes invented hundreds of years ago, to MRI machines today, to the goal of creating a Tricorder in a Star Trek-like future, technology is making sweeping changes in healthcare and undoubtedly India will be a big beneficiary. The main drivers, today and in the future, are smartphones, always-on connectivity, big data and artificial intelligence (AI). In the way regular mobile phones became ubiquitous, soon most people in India will have powerful and connected supercomputers in their pocket as prices for smartphones and internet access continue to drop and become more accessible.
Gartner states that its predictions "examine three fundamental effects of continued digital innovation", comprising experience and engagement, business innovation and secondary effects resulting from increased digital capabilities. By 2020, algorithms will positively alter the behaviour of more than 1 billion global workers: algorithms can positively alter human behaviour, augmenting human intelligence with the large collective memory bank containing knowledge that has been socialised and put to the test, with this to help workers "remember" anything or be informed of just-in-time knowledge they have never even experienced, leaving them to objectively complete the task at hand, while also better appreciating life as it unveils. Through 2020, IoT will increase data centre storage demand by less than 3 per cent: of the roughly 900 exabytes of data centre hard-disk drive and solid-state drive capacity forecast to ship in 2020, IoT discrete sensor storage will represent only 0.4 per cent, with storage from multimedia sensors consuming another 2 per cent, indicating IoT can scale and deliver important data-driven business value and insight while remaining manageable from a storage infrastructure standpoint. By 2020, 40 per cent of employees can cut their healthcare costs by wearing a fitness tracker: companies will increasingly appoint fitness program managers, working closely with human resource leaders, including fitness trackers in wellness programs as part of a broader employee engagement initiative.
Rather than viewing these advances as threats to job security, we can look at them as opportunities for AI to fill in critical gaps in existing service providers, such as mental healthcare professionals. But what if artificial intelligence could bring quality and affordable mental health support to anyone with an internet connection? This is X2AI's mission, a startup that's built Tess AI to provide quality mental healthcare to anyone, regardless of income or location. Thanks to these psychologists we are able to offer behavioral health services directly to large employers or employer health plans, as the psychologists can take care of parts of the treatment and ensure to stand-by whenever additional human intervention is required.
While this may have some potential positive benefits like decreasing healthcare costs and nudging you to eat better foods, exercise more and use cheap preventive health care services - it is rife with diagnostic accuracy problems at this time considering the high rate of false positives, bad data, patterns that mean nothing, correlations that do not equal causation, and discounting genetic and other factors. Human physiology is a high causal density environment and assessing overall health is tricky even for trained physicians.