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.
Artificial Intelligence at HIMSS19
This year if you are attending HIMSS19, look for several ways to learn more.
Special Forum – Machine Learning & AI for Healthcare
When: February 11, 2019, 8:00 am – 4:30 pm
Where: Rosen Centre – Junior Ballroom
Twitter Hashtag: #smartHIT
* There is an additional cost, it is not included in registration fees.
Machine Learning & AI for Healthcare brings healthcare IT decision makers together for insights and face-to-face dialog about how hospitals are using AI and Machine Learning to reduce costs, improve care outcomes and more.
Now On Demand, listen to CTO Talk as technology expert Matt Ferrari discusses the issues, challenges, and opportunities transforming healthcare technology today, all from the CTO point of view. Tune in because when CTOs talk, health IT listens. On this episode, Matt talks with CareCloud’s CTO, Josh Siegel, about CareClould’s transformation with AI, interoperability, and their partnership with Google.
Currently On Air – Voices in Value-Based Care – Tune in to hear value-based programs expert Beth Houck and her guests discuss the challenges, opportunities, and best practices for reporting under MACRA’s Quality Payment Program. Airing now, Beth is talking to Dr. Michael Sanders, CMIO at Flagler Hospital (@FlaglerHospital) in Saint Augustine, Florida. Hear about how the hospital implemented AI and are seeing reduction in costs, length of stays, and readmissions. The successful program has brought clinician buy in and participation beyond expectation. Now even the community has started to buy in. Learn why Dr. Sanders thinks the Community Hospital of today is creating the next generation of health care.
Listen to this show weekdays at 1:00pm ET, and rebroadcasts at 5:00am, 1:00pm and 9:00pm ET every weekday.
— Matthew Lamons (@mlamons1) January 11, 2019
In the News
Change Healthcare and Health Fidelity Partner to Increase Quality and Accuracy of Risk Adjustment Coding
Change Healthcare (@Change_HC) announced that it is collaborating with Health Fidelity, Inc. (@healthfidelity) to offer a risk adjustment solution that embeds natural language processing (NLP) and machine learning technology into its risk adjustment coding offering to help Medicare Advantage, ACA commercial, and Medicaid payers increase claim accuracy and better address compliance obligations.
HoloSurgical Inc., a Digital Surgery Company, Announces First Surgical Procedure Utilizing the ARAI™, an Augmented Reality and Artificial Intelligence Based Surgical Navigation System
HoloSurgical Inc. (@HoloSurgical), a digital surgery company, announced a successful first in human surgical procedure utilizing the ARAI™, an augmented reality and artificial intelligence based surgical navigation system.
FDNA Publishes Study in Nature Medicine Defining New Artificial Intelligence Standard in Healthcare
FDNA (@fdna), a leader in artificial intelligence and precision medicine, in collaboration with a team of influential scientists and researchers published a milestone study on the use of facial analysis in detecting genetic disorders. The findings in this paper suggest that this type of technology adds significant value in personalized care and will become a standard among deep learning based genomic tools.
GE Healthcare, Vanderbilt University Medical Center Partner for Safer, More Precise Immunotherapy Cancer Treatment
GE Healthcare (@GEHealthcare) and Vanderbilt University Medical Center (@VUMChealth) announced a five-year partnership to enable safer and more precise cancer immunotherapies. Multiple diagnostic tools will be developed to help predict both the efficacy of an immunotherapy treatment and its adverse effects for a specific patient before the therapy is administered. This would allow physicians to better target immunotherapies to the right patients and avoid potentially damaging, ineffective and costly courses of treatments.
Austin Regional Clinic Selects Notable Health to Advance New Artificial Intelligence Powered Physician-Patient Interaction Using the Apple Watch
Austin Regional Clinical (ARC) (@AustinRegional), a multispecialty medical group based in Austin, Texas, announced it has engaged Notable Health (@notablehealth), an artificial intelligence (AI) powered health care company that automates and digitizes physician-patient interactions, to help improve patient engagement and reduce ARC physicians’ time entering data into the group’s Epic Electronic Health Record (EHR).
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.
- 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.