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.


For years Dr. Nick van Terheyden aka Dr. Nick, has served as a voice on the impact of new technologies on healthcare, earning a reputation as a leading authority on where the future of medicine is going. Combining powers of observation and real world experience, Dr. Nick has seen many predictions come true and makes the case that innovations in healthcare can be accomplished incrementally, not just by moonshot events. On this episode of The Incrementalist, Dr. Nick talks to Physician, Adviser, and Speaker, Falgun Chokshi, MD (@FalgunChokshiMD). They discuss the future of Radiology, Artificial Intelligence and Imaging.

To Read

How Artificial Intelligence Is Transforming Healthcare – HealthWorksCollective (@HealthCollectiv) – Artificial intelligence is transforming healthcare in a myriad of ways. Here’s why it’s making a difference, and what to know about it.

In the News

McKesson Announces Move to Google Cloud
McKesson Corporation (@McKesson) announced a technology collaboration with Google Cloud that will advance the development of next-generation applications and products, machine learning and artificial intelligence (AI) technologies, and enhanced analytics in support of the company’s strategic growth initiative to transform care delivery and drive profit.

Recondo Technology Accelerating Momentum in Healthcare Revenue Cycle
Due to accelerated market expansion of intelligent automation that replaces expensive, manual communication between hospitals and payers, Recondo Technology (@RecondoTech) announced it has achieved record bookings and growth in the first quarter of 2019. Breaking previous records for contracted monthly recurring revenue (CMRR), the company achieved a 120 percent increase in first quarter bookings in 2019 as compared the same quarter of the previous year. Overall, the company is reporting 35 percent compounded annual growth over the last three years.

VisiQuate Expands Partnership with Etyon Health
VisiQuate, Inc. (@VisiQuate), a leader in healthcare business analytics, has announced a formal partnership with Etyon Health (@ETYON_INC), a developer of AI-driven RCM solutions. The two organizations have teamed up over the years to help providers significantly reduce operational improvement costs by 65% and meaningful reductions in net days receivable outstanding, while boosting cash performance.

GE Healthcare Accelerates AI Model Development and Deployment with Launch of Edison Integration to American College of Radiology AI-LAB™
GE Healthcare (@GEHealthcare) announced Edison will integrate with ACR AI-LAB. The Edison platform helps accelerate the development and adoption of Artificial Intelligence (AI) technology and empower providers to deliver faster, more precise care. Edison serves as a “digital thread” for GE Healthcare’s existing AI partnerships and products, and by integrating with ACR AI-LAB, it will extend these services and allow ACR members and other radiology professionals to more easily develop and seamlessly deploy their algorithms across hospitals and research centers nationally.


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.

IBM Analytics

Navigating the A.I. and Cognitive Maze – If you work in the area of Artificial Intelligence (AI) and Cognitive Computing, you might use buzz words and phrases which to others might be perceived as confusing jargon. This article attempts to explain what these terms mean, how they relate to one other and where they all fit along the AI and cognitive time continuum. I include a glossary of my top 20 useful AI/cognitive terms — and advice on getting started on your AI/cognitive journey.