Sorting out AI, ML, DL, and NLP

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Posted By: Roberta Mullin August 18, 2021

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.

To Listen

From Healthcare APPtitude, they re-cast an interview with MobileSmith Health’s CTO Greg Jones on the Collective Voice of Health IT podcast. Greg dives deep into his background, discussing how his experience working with big data on the state side has influenced his approach to some of the products developed at MobileSmith Health. Greg also discusses what MobileSmith’s applications are doing to bridge the divide between big data and personalized health information, as well as the impact of AI and machine learning.

In the News

Jvion Integrates AI-Powered Insights with Cerner Social Determinants of Health and Behavioral Health Products
Jvion (@JvionHealth), a prescriptive intelligence company, announced that its clinical AI-powered social determinants of health (SDOH) and behavioral health insights will be integrated with Cerner products at the point of care. The new collaboration is designed to provide Cerner clients with an accurate and concise way to identify and address SDOH and behavioral health factors driving patient risk while offering context and clinical guidance to adopt for improved health outcomes.

Sensyne Grows Medical Research Dataset to 60 Million Patients
Sensyne Health (@SensyneHealth), the ethical Clinical AI company, announces that it has reached a milestone of access to a combined clinical research, clinical trial and real world de-identified and anonymised dataset of over 60 million patients. This enlarged dataset results from both Sensyne’s investment in virtual clinical development company, Phesi Inc. in January 2021, and the progress made by Sensyne and Phesi in building their respective data platforms.

Remarkable Health Launches First Behavioral Health AI Documentation Tool; Makes Clinical Documentation Faster, Easier and Higher Quality
Remarkable Health (@Remarkablehlth), an innovative technology partner for behavioral health and human service providers, announced the launch of Bells, the first smart documentation assistant designed specifically for behavioral health professionals. Acting like Grammarly for writing, Bells is an AI-enabled tool that improves and streamlines the note-taking process by reducing errors, eliminating redundancy, improving quality and decreasing rejected claims.

Product & Company News

Digital Health Start-Up CareHive Unveils Transformative Platform to Curb Healthcare Costs
Digital health start-up CareHive (@CarehiveHealth) is using its artificial intelligence-powered, digital health platform and clinic navigation team to partner with healthcare providers, health plans, and employers to achieve better patient outcomes and cost containment. It does so by integrating its sophisticated virtual care technology and clinical navigation with patients’ existing medical providers.

Intel, ConsenSys Health Advance Pandemic Research
Healthcare software solutions provider ConsenSys Health (@ConsenSysHealth) is using blockchain-based data security fueled by Intel (@intel) technology to conduct research into making clinical trial recruitment more efficient and equitable. On the heels of the World Health Organization’s (WHO) first global report on the use of artificial intelligence (AI) for healthcare and medicine, ConsenSys Health is seizing opportunities to apply innovative technology that helps protect patient privacy while increasing efficiency with the goal of combating the coronavirus.

Premier Inc. Brands Technology and Services Platform “PINC AI™”
Premier Inc. (@PremierHA), a healthcare improvement company, announced that it is branding its comprehensive technology and services platform “PINC AI,” effective immediately. The name PINC AI was selected to honor the brand’s roots within Premier, while also highlighting the company’s planned development and expansion of AI and other cutting-edge technologies across the platform.

Verily Opens New R&D Center in Israel Focused on the Application of AI in Healthcare
Verily (@verilylifesci), an Alphabet company founded at the convergence of healthcare, data science and technology, announced the opening of its new research and development center in Israel. The Verily Israel team will focus on applying artificial intelligence (AI) techniques to important biomedical problems, including applications in endoscopy, minimally invasive surgery and other imaging modalities.

Prevencio Announces U.S. Patent Issuance for Novel, Artificial Intelligence-driven Blood Test for Cardiac Risk
Prevencio, Inc. announces the United States Patent Office’s issuance of a patent for its highly accurate blood test, HART CVE, for a patient’s one-year risk of heart attack, stroke, or cardiovascular death. The company leveraged its’ Artificial Intelligence (AI)-driven HART platform and expertise in cardiac blood tests to develop HART CVE.

To Read

Using AI to Clean Up the Dirty Little Secret About Healthcare Interoperability – By G. Cameron Deemer, President, DrFirst (@DrFirst) – There’s a dirty little secret about interoperability that healthcare leaders don’t often talk about: Despite decades of digitization and standards, we still have a problem with dirty data. That means a great deal of digital information still gets touched by human hands before it can be consumed by hospital or pharmacy systems. This is more than an inconvenience. Manually entering information can introduce errors that contribute to patient harm and readmissions.

Artificial Intelligence Accurately Predicts Protein Folding – By Dr. Francis Collins, Director of NIH (@NIH) – Proteins are the workhorses of the cell. Mapping the precise shapes of the most important of these workhorses helps to unlock their life-supporting functions or, in the case of disease, potential for dysfunction. While the amino acid sequence of a protein provides the basis for its 3D structure, deducing the atom-by-atom map from principles of quantum mechanics has been beyond the ability of computer programs—until now.

Matthew Lamons

To Follow

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:

  1. Natural Language Processing to enable it to communicate successfully in English
  2. Knowledge Representation to store what it knows or hears
  3. Automated Reasoning to use the stored information to answer questions and to draw new conclusions
  4. Machine Learning to adapt to new circumstances and to detect and extrapolate patterns
  5. Computer Vision to perceive objects
  6. 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.

Linguamatics on NLP

What is Text Mining, Text Analytics and Natural Language Processing? – Text mining (also referred to as text analytics) is an artificial intelligence (AI) technology that uses natural language processing (NLP) to transform the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning (ML) algorithms.

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.

IBM Analytics

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.