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.
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From Harlow on Healthcare, host David Harlow sits down with Pete Harris, ED, Austin Blockchain Collective, to discuss improving data integrity, patient safety and leveraging data for use in AI and the Austin blockchain scene. Come for the accent; stay for the content.
In the News
Adventist Health and Synchronous Health Announce Strategic Partnership
Synchronous Health, a behavioral health company that combines the strength of human empathy with artificial intelligence (AI) to increase access and quality of behavioral health services, and Adventist Health (@AdventistHealth), a nonprofit integrated multi-state health system servicing over 10 million people in more than 80 communities on the West Coast and Hawaii, announced a strategic partnership that provides customized behavioral healthcare and well-being solutions to key populations.
3M M*Modal Conversational and Ambient AI Transforms the Experience of Patients and Physicians for More Than One Million Patient Encounters in One Year
Physicians at more than 150 U.S. healthcare organizations are better able to focus on patients during a care encounter through the experience of 3M™ (@3M) M*Modal virtual assistant technology. Working in the background, the ambient intelligence platform captures and documents the encounter based on the physician’s natural conversation with the patient, with no intrusion from technology. By achieving one million encounters across 70 clinical specialties, 3M M*Modal virtual assistant solutions have given more than 120,000 hours back to physicians annually since launching three years ago.
SRI Ventures Spin-off CurieAI Transforms COVID-19 Case Management at San Carlos Apache Healthcare Corporation
CurieAI (@ai_curie), a healthcare startup spun-off from SRI Ventures (@SRI_Intl), the corporate venture arm of SRI International, announced the release of CurieAI’s first-of-its-kind AI-driven platform specifically designed for assisting in the monitoring and management of respiratory conditions surrounding COVID-19. Early deployments indicate that Curie’s solution could prove invaluable in managing COVID-19 positive patients.
Canon Medical Systems USA, Inc. Partners With Zebra Medical Vision to Further Expand AI Offerings
Building on its commitment to providing customers with Artificial Intelligence (AI) solutions that can be utilized across modalities in routine care, Canon Medical Systems USA, Inc. (@CanonMedicalUS) is partnering with Zebra Medical Vision (Zebra-Med) (@ZebraMedVision) to offer its AI1™ automated imaging analysis solutions to help clinicians in the U.S. provide faster, accurate diagnoses for optimized patient care.
Stanford Center for Health Education Launches Online Program in Artificial Intelligence in Healthcare to Improve Patient Outcomes
The Stanford Center for Health Education (@Stanford_CHE) launched an online program in AI and Healthcare recently. The program aims to advance the delivery of patient care and improve global health outcomes through artificial intelligence and machine learning. The online program, taught by faculty from Stanford Medicine, is designed for healthcare providers, technology professionals, and computer scientists. The goal is to foster a common understanding of the potential for AI to safely and ethically improve patient care.
Medio Smart Health Launches, Helping People Take Charge of their Own Health with Free COVID-19 Symptom and Vital Sign Tracking
Brainworks (@brainworksai), provider of AI-enhanced, non-contact vital sign measurement and automated digital healthcare tools, reveals Medio Smart Health, a login-based web application for personal health management and COVID-19 specific symptom tracking. With Medio, individuals can use their mobile phones, computers, and tablet cameras to automatically measure and track their vital signs, monitor their health over time, and answer specific CDC recommended screening questions related to COVID-19.
Eyenuk Announces FDA Clearance for EyeArt Autonomous AI System for Diabetic Retinopathy Screening
Eyenuk, Inc. (EyenukInc), a global artificial intelligence (AI) medical technology and services company and the leader in real-world applications for AI Eye Screening, announced that it has received 510(k) clearance (K200667) by the U.S. Food & Drug Administration (FDA) to market its EyeArt® autonomous AI System for diabetic retinopathy, a leading cause of blindness among American adults.
IoT & the Internet of Medical Things have birthed innovations to address the coronavirus crisis. Technologies from healthcare to retail may have long-lasting impacts in the future.#AI #ML #futurism #IntelligenceFactory #digitaltransformation #DXhttps://t.co/DAQ6oesfZF
— Matthew Lamons (@mlamons1) August 16, 2020
— Matthew Lamons (@mlamons1) August 16, 2020
— Matthew Lamons (@mlamons1) August 14, 2020
- 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.