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.


HIMSS19 Highlights
On this interview from our HIMSS19 Highlights, Matt Sappern, CEO of PeriGen (@PeriGen) shares his views on what he sees is broken in our healthcare system and discusses how technology, and specifically AI, can be used to improve clinical outcomes and financial ROI for organizations.

To Read

These Researchers Are Using Artificial Intelligence to Make a Better Flu Vaccine – Is there a more precise way to fight the flu? The team at Berg, a Boston-based pharmaceutical startup, thinks so. Working alongside French pharma giant Sanofi, Berg is using artificial intelligence and machine learning to better understand the flu and, hopefully, find new ways to stop it.

Twilight IT Solutions
How AI and Machine Learning Can Improve the Healthcare Industry – What AI and ML can do to the Healthcare Industry can give fantasy and fiction writers a run for their money. Still, these technologies have some of the best practical uses to help solve the most contemporary health problems. If both robotic and cognitive AI and ML will find equal use in one industry, the healthcare industry will rank on top. Similarly, the most ambitious as well as the most contemporary practical use-cases can be found only in the healthcare industry.

In the News

Northwestern Medicine and Eko Partner to Improve Valvular Heart Disease Screening Using Machine Learning Algorithms
Northwestern Medicine (@NorthwesternMed) Bluhm Cardiovascular Institute is pioneering the use of artificial intelligence (AI) for cardiac screening in a new study of Eko’s cardiac monitoring platform. The study aims to demonstrate that Eko’s digital stethoscopes and AI algorithms can interpret heart sounds accurately to help screen for pathologic heart murmurs and valvular heart disease.

Lash Group to Amplify Patient Engagement Capabilities with AllazoHealth Artificial Intelligence and Predictive Analytics Tool
Lash Group, a patient support services company and a part of AmerisourceBergen (@Healthcare_ABC), and AllazoHealth (@allazohealth), an artificial intelligence (AI) and predictive analytics company focused on ensuring optimal patient outcomes, announced a partnership that will enhance patient adherence and engagement programs through targeted and personalized recommendations that will empower at-risk patients to ultimately make healthier choices.

Five More AI-Powered Medical Clinics Now Open in Phoenix
“Running in to grab a gallon of milk” is now synonymous with “running in to get that nagging earache treated” for Arizonans living in the Phoenix area thanks to five more Akos Med Clinics (@Akos_MD) now open in Safeway stores in Scottsdale (2), Ahwatukee, Chandler, and Laveen. Five other locations, which opened last November, are in Gilbert, Phoenix, Glendale, Mesa and Tempe. An 11th clinic will open in Casa Grande later this month, and a 12th in Boise, Idaho in March.

Rare Genomics Institute Demonstrates the Power of Genomenon’s AI-Based Technology in Diagnosis
Rare Genomics Institute (@RareGenomics), a nonprofit providing direct support to undiagnosed rare disease patients, announced on Rare Disease Day that they were able to diagnose a previously undiagnosed patient with the use of the Mastermind® Genomic Search Engine, a clinical decision support tool by Genomenon®.

New AI Able to Identify and Predict the Development of Cancer Symptom Clusters
Cancer patients who undergo chemotherapy could soon benefit from a new AI that is able to identify and predict the development of different combinations of symptoms – helping to alleviate much of the distress caused by their occurrence and severity. In the first study of its kind, published by Nature Scientific Reports, researchers from the University of Surrey (@UniOfSurrey) and the University of California detail how they used Network Analysis (NA) to examine the structure and relationships between 38 common symptoms reported by over 1300 cancer patients receiving chemotherapy.


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.