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.
Tune in to The Incrementalist, as Dr. Nick speaks with Tom Goodmanson, CEO of Calabrio. They will be discussing contact tracing, and how Calabrio is supporting Public Health Agencies and companies with contact tracing using call centers, technology, machine learning, and AI.
In the News
New AI Platform to Work Hand-in-Hand with Healthcare Workers
For the capacity-stricken healthcare sector, the last six months have reinforced the need for an AI workforce to ensure financial continuity while delivering superior patient care. As health systems across the country struggle to streamline processes and revitalize revenues without impacting patient care, more than 600 hospitals and health systems have turned to AI to supplement operations and better support administrative staff. Olive (@oliveai__) announced the latest innovation to a revolutionary platform aimed at enhancing the way administrative healthcare workers manage essential tasks across nearly every aspect of the care continuum: Olive Helps.
GE Healthcare Receives FDA Clearance for Vivid Ultra Edition, AI-Powered Cardiovascular Ultrasound System Designed to Shorten Diagnostic Exam Time and Improve Measurement Consistency
GE Healthcare (@GEHealthcare) announced U.S. FDA 510k clearance for its Ultra Edition package on Vivid cardiovascular ultrasound systems, which includes new features based on artificial intelligence (AI) that enable clinicians to acquire faster, more repeatable exams consistently.
Mobile AI technology from Saykara helps Nephrology Associates of Delaware Boost Physician Productivity and Well-Being
Faced with the very real prospect of losing physicians to burnout, Nephrology Associates, P.A. turned to cutting-edge technology from Saykara (@SaykaraAI) to reduce increasingly burdensome and time-consuming documentation. Use of the company’s mobile AI assistant to automate production of clinical notes means physicians at the Delaware-based provider organization no longer have to spend evening and weekend hours completing their charting, which translates to better work-life balance, better quality of care and better patient relationships.
Viz.ai Wins UCSF’s 2020 Digital Health Award for Best New Application of A.I.
A.I. healthcare company, Viz.ai (@viz_ai), has won the prestigious UCSF Digital Health Award for Best New Application of A.I. On the heels of receiving the first New Technology Add-on Payment from CMS for an A.I. powered software system, this award further validates the real world benefits Viz.ai brings to stroke patients.
BUDDI.AI Emerges from Stealth Mode to Transform the Healthcare Revenue Cycle
BUDDI.AI (f/k/a BUDDIHealth), a provider of AI-powered clinical revenue cycle automation solutions for healthcare is proud to announce its emergence from stealth mode, and the launch of its web presence. The site provides comprehensive information on BUDDI.AI’s suite of transformative health solutions including medical coding automation, medical billing automation, prior authorization automation and more.
Endpoint Health and Vanderbilt University Medical Center to Create World’s First Precision Medicine Trial Network Focused on Critical Illness
Endpoint Health (@endpointhealth), the first targeted therapeutics company focused on integrated solutions for critical illnesses, announced a new strategic partnership with Vanderbilt University Medical Center (VUMC) (@VUMChealth) to create the first precision medicine clinical trial network focused on late-stage clinical trials in critical illness. The network will combine leading critical illness researchers, trialists and premier medical centers from across the country to create a sustained system for conducting phase II and III interventional trials intended to validate precision medicine technologies, therapies, and deployable patient-centric care approaches.
A new Artificial Intelligence algorithm more accurately predicts risk factors that can occur following Transcatheter Aortic Valve Replacement in patients who have severe aortic stenosis.#AI #ML #futurism #IntelligenceFactory #digitaltransformation #DXhttps://t.co/2JPnQD9BQl
— Matthew Lamons (@mlamons1) October 13, 2020
Artificial Intelligence can match the performance of 3rd-year radiology residents at reading common imaging exams in the ER—it’s not to replace them but to enhance & augment their skills.#AI #ML #futurism #IntelligenceFactory #digitaltransformation #DXhttps://t.co/Csd9Khgr8P
— Matthew Lamons (@mlamons1) October 10, 2020
#COVID19 is pressing health systems to rethink how to use technology to support informed decision-making at the point of care.
— IBM Watson Health (@IBMWatsonHealth) September 24, 2020
- Patrick Grossmann @GrossmannPat
- Steven Astorino @astorino_steven
- Mirada Medical @MiradaMedical
- IBM Watson Health @IBMWatsonHealth
- 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.