Sorting out AI, ML, DL, and NLP

The alphabet soup of acronyms in the world Artificial Intelligence. What are they? What do they mean? What is the difference between them? This is our ongoing reporting on AI and how it is being integrated into healthcare technology. We are seeking out the thought leaders and innovations that are moving the needle forward using artificial intelligence. Read more posts on Artificial Intelligence in Healthcare.

Follow the hashtag #AIinHealthcare.

To Read

From Pokitdok
The Challenges And Opportunities Of Implementing AI In Healthcare – “AI is the new electricity,” Andrew Ng, chief scientist at Baidu Research, told Fortune. Ng predicts that the advent of AI-related technologies will transform all industries, as electricity did more than 100 years ago.Indeed, AI and machine learning seem to be the hottest technologies in healthcare.

From Stasis Labs
Advancing Algorithms: The AMA’s Augmented Intelligence Policy – Someone, pop the bubbly. After fifteen years, the American Medical Association (AMA) has released an official statement on AI — a technology that has been gaining steam since 2005. Healthcare AI, once dismissed as a collection of hyper-glamorized algorithms, has won the AMA’s tough-earned recognition. But before tossing confetti, health-techies, quick to err on the side of “machine-everything”, should read the AMA’s statement carefully. While addressing everything from patient outcomes to legal implications, the document concentrates to a fundamental point: If AI is here to stay, so are the physicians that helped train it.

 In the News

NIH To Ramp Up AI Work
Director Francis Collins will appoint a high-level committee to advise him on incorporating artificial intelligence and machine learning into biomedical research, he said at an NIH conference on the subject Monday. Collins also said he hoped to lure Silicon Valley talent to NIH, including an associate director for data science to replace Phil Bourne, who left for the University of Virginia last year.

One of America’s largest healthcare companies wants to use AI to ‘solve some of the most wicked problems in healthcare’
Optum (@Optum), the $91 billion business within UnitedHealth Group, has its hands on a lot of information, from clinical data to information about healthcare consumers. The organization on its own has 140,000 employees, who work with 124 million members and 300 health plans. Now, it’s exploring what it can do with that all information to make people healthier using artificial intelligence, an endeavor titled OptumIQ.

Premier Inc. Partners with Progknowse, Inc. to Develop Precision Medicine Analytics
Premier Inc. (@PremierHA), a healthcare improvement company, is partnering with Progknowse, Inc. (@progknowse) to develop a clinical and genomic data set for use within the PremierConnect® performance improvement platform to develop new predictive analytics capabilities that support precision medicine and personalized care delivery.

Vocera and Qventus Partner to Provide Real-Time Operations Management Solution
Vocera Communications, Inc. (@VoceraComm), a recognized leader in clinical communication and workflow solutions, announced it is partnering with Qventus (@Qventus), an AI-based software technology company that helps health systems run more efficiently. Interoperability between Vocera and Qventus technologies enables immediate action and collaboration on the frontlines of hospitals across the country. Together, the two companies empower care teams with real-time situational awareness to quickly mobilize the right people and resources, thereby improving workflow, patient safety, and provider satisfaction.


PATH Summit
When: September 30-October 2, 2018
Where: Omni Shoreham in Washington, DC
Networking Event for Automation and Artificial Intelligence in Healthcare – Learn More.

AI Solve: Healthcare – Webcast Replay
Recorded March 21, 2018 at UCSF in SanFrancisco
View the recording

AI is already beginning to shape the healthcare industry, Intel brought together some of the leading minds in the space. At the event called Intel SOLVE: Healthcare, in San Francisco, Intel brought together researchers from Harvard, Princeton, Stanford, GE Healthcare, Optum, Mayo Clinic, The MIT/Harvard Broad Institute and more to talk about the work they are doing with AI.

To Follow
The Basics and Resources

From the leading text book around the world, Artificial Intelligence: A Modern Approach.

Artificial Intelligence is composed of six different disciplines:

  1. Natural Language Processing to enable it to communicate successfully in English
  2. Knowledge Representation to store what it knows or hears
  3. Automated Reasoning to use the stored information to answer questions and to draw new conclusions
  4. Machine Learning to adapt to new circumstances and to detect and extrapolate patterns
  5. Computer Vision to perceive objects
  6. Robotics to manipulate objects and move about

To build a generally intelligent agent, you need machine learning in addition to the other aspects mentioned above.

Machine Learning is roughly the science of prediction. Given certain knowns (features), you wish to predict some unknowns (targets). The unknown could be structured (e.g. numeric) or unstructured (e.g. a string response).

Deep Learning is a sub field of machine learning where concepts are learned hierarchically. The simplest concepts emerge first, followed by more complicated concepts that build on the simpler ones. Usually, this leads to a simple layered hierarchy of concepts.

Optum Resource Library

Natural Language Processing: AI with an ROI
Health care providers need to see a return on any analytic investment they make. Natural language processing (NLP) is one way AI can help providers convert the potential within their health data into quality improvement and cost savings. Natural language processing is an AI technology that actually makes sense for health care.