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.
On Healthcare de Jure, tune in as we serve up the hottest healthcare issues of the day, all from a legal point of view. From public policies and Federal initiatives to privacy and security, join host Matt R. Fisher as he and his guests discuss a smorgasbord of topics, giving hospitals, physicians, vendors and patients a seat at the table. Matt’s virtual conversations can be listened to on demand or heard on air. On this episode, Matt talks to Yann Fleureau, Co-Founder and CEO of Cardiologs on development and creation of artificial intelligence algorithms and tools; challenges with development; specific experience with healthcare regulators and treatment like other medical technology; security and privacy challenges.
In the News
FIND FH® Machine Learning Model Identifies Individuals With Familial Hypercholesterolemia (FH) For First Time At A National Level
The FH Foundation (@TheFHFoundation), a research and advocacy organization, announced that a machine learning algorithm effectively identified individuals with probable familial hypercholesterolemia (FH) for the first time at a national scale through its FIND FH® initiative. FH is a common genetic disorder that carries a 20-times higher risk for life-threatening cardiovascular disease, but today less than 10 percent of the 1.3 million Americans born with FH are diagnosed.
Intelerad and Zebra Medical Vision Join Forces to Accelerate AI Adoption Through Newly Released Intelerad’s Odyssey Workflow Solution and Announce Unparalleled Introductory Offer
Intelerad Medical Systems™ (@Intelerad), a leader in enterprise workflow solutions, and Zebra Medical Vision (@ZebraMedVision), the deep learning medical imaging analytics company, announce a joint program leveraging Intelerad’s newly released Odyssey designed to encourage the adoption of artificial intelligence without the prohibitive costs usually associated with such programs.
doc.ai Digital Health Trial Aims to Improve Precision in Epilepsy Treatment
doc.ai (@_doc_ai), a digital health company designed for a new generation of medical research, announced the opening of an Epilepsy Digital Health Trial focused on how Artificial Intelligence (A.I.) can help identify the right treatment for the right patient at the right time.
Enlitic Announces Strategic Partnership With Select Healthcare Solutions
Enlitic, Inc. (@enlitic), a developer of artificial intelligence software designed to help doctors diagnose patient conditions more quickly and more accurately, announced that it has signed a strategic partnership with Select HealthCare Solutions, a developer, owner, and operator of world-class cancer centers across the U.S.
Omega Medical Imaging First in the World to Receive FDA Clearance on Artificial Intelligence Imaging System That Reduces Dose
Omega Medical Imaging (@OmegaMedImaging), manufacturers of Artificial Intelligence Fluoroscopy/Cine (AIF/C) Imaging systems, just announced the Food and Drug Administration 510 (k) clearance of FluoroShield™ with their 2020 Cardiac Flat Panel Detector.
Treatment Technologies & Insights, Inc. (TTI) Launches Free New Health App Putting Artificial Intelligence In The Hands Of Chronic Illness Patients
Wave App (@wavehealthapp) is now available for FREE on all mobile iPhone and Android platforms, as well as some wearable devices and tablets, for people with chronic illness or conditions to take control of their health and manage daily treatment. Wave App makes it easy to track and record important activities like symptoms and side effects, medications, sleep, and physical activity, while also allowing users to share health updates with their doctors, family members or care providers. Wave App launches with a unique feature called “My Insights”, an Artificial Intelligence analysis system that provides personalized insights on how certain actions and encounters are related to each patient’s overall wellbeing (condition, symptoms, and mood) as they go through treatment.
The Artificial Intelligence community urges doctors and radiologists to not “sit on the sidelines” as AI takes a hold on the healthcare industry – your expertise is needed! #AI #ML #medtech #futurist #IntelligenceFactory #biotech #medicalimaginghttps://t.co/enK83S3y5p
— Matthew Lamons (@mlamons1) October 19, 2019
- Patrick Grossmann @GrossmannPat
- Steven Astorino @astorino_steven
- AI Healthcare News @AIHealthNews
- Mirada Medical @MiradaMedical
- IBM Watson Health @IBMWatsonHealth
- CrossChx @CrossChx
- Dr. Eric Topol @EricTopol
- Dr. Marc Chasin @M_Chasin
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:
- Natural Language Processing to enable it to communicate successfully in English
- Knowledge Representation to store what it knows or hears
- Automated Reasoning to use the stored information to answer questions and to draw new conclusions
- Machine Learning to adapt to new circumstances and to detect and extrapolate patterns
- Computer Vision to perceive objects
- 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.
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.