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.
This week I spent some time on Twitter to find out who is tweeting what is really happening with AI in Healthcare. Here is who we follow.
- AI Healthcare News @AIHealthNews
- Mirada Medical @MiradaMedical
- IBM Watson Health @IBMWatsonHealth
- CrossChx @CrossChx
- Dr. Eric Topol @EricTopol
- Dr. Marc Chasin @M_Chasin
pwc Trending Summary and eBook
Five distinct trends are converging to determine how artificial intelligence (AI) and robotics will define New Health – AI and robots that support, diagnose and treat people are already in homes, workplaces and clinical environments all over the world. And how we embrace AI and Robotics to complement and enhance current healthcare services over the next 10 years will define our ability to deliver a more responsive health service with improved health outcomes, while at the same time enabling people to take more control over their day-to-day health needs.
What Doctor? Why AI and robotics will define New Health (eBook pdf) – Would you allow a medical robot with artificial intelligence (AI) to examine, diagnose and prescribe a treatment plan for you or a member of your family with cancer? Would you accept a robot as your primary surgeon? And if you were to do so, what would the human clinician do?
— Medelinked (@Medelinked) May 15, 2018
— VentureBeat (@VentureBeat) April 22, 2018
In the News
Health Navigator Natural Language Processing Engine Now Available on Epic App Orchard
Health Navigator (@HlthNavigator), a company that delivers evidence-based clinical content for digital health, telemedicine and eHealth, announced that its Natural Language Processing (NLP) application is available in the Epic App Orchard. Health systems and digital health applications can take advantage of Health Navigator’s NLP engine and simplify the patient intake process by identifying and prioritizing chief complaints.
Linguamatics Introduces Breakthrough Scientific Search Solution
Linguamatics (@Linguamatics), an NLP-based text analytics provider for biomedical applications, announced the launch of Linguamatics iScite, a breakthrough innovation in scientific search that puts the precision and power of Linguamatics artificial intelligence (AI) technology directly into the hands of scientists, researchers and other knowledge workers. iScite offers a modern, easy-to-use scientific search engine that provides intuitive access to AI-powered searches across key biomedical data sources and delivers insightful answers to search questions.
Apollo Hospitals adopts IBM Watson for oncology and genomics
Apollo Hospitals has partnered with IBM to deploy its cognitive computing platform Watson for oncology and genomics in 10 of its cancer care centres. Read more.
Dr. Nick: The Incrementalist talks to Dr. Eric Topol on the future of digital health in context of AI and all the data.
— Eric Topol (@EricTopol) May 16, 2018
When: September 30-October 2, 2018
Where: Omni Shoreham in Washington, DC
Networking Event for Automation and Artificial Intelligence in Healthcare – Learn More.
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.
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.