Sorting out AI, ML, DL, and NLP

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Posted By: Roberta Mullin May 27, 2020

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 Voices in Value-Based Care, host Matt Fusan talks to Dr. Glenn Loomis, Chief Medical Officer of Volcalto, about the future of artificial intelligence in healthcare.

In the News

SAS Launches Free AI-driven Environment to Mine COVID-19 Research
Globally, thousands of scientists are working tirelessly on COVID-19 mitigation efforts, including the search for new treatments and a vaccine. Analytics leader SAS (@SASsoftware) brings a powerful resource to the fight with COVID-19 Scientific Literature Search and Text Analysis, a free visual text analysis environment that uses artificial intelligence (AI) and machine learning to quickly search tens of thousands of research articles on COVID-19 and deliver potentially lifesaving answers to these scientists.

Amid COVID-19 Pandemic, DreaMed Diabetes Announces Implementation of Its Advisor Pro Software at Top-rated U.S. Children’s Hospital
DreaMed Diabetes Ltd. (@DreaMedDiabetes), the developer of the personalized, AI- based diabetes management solution, announces a cooperation with Texas Children’s Hospital (@TexasChildrens) by integrating its Advisor Pro software to help diabetes care in children and incorporate a simple remote treatment option.

Deep Lens First to Integrate Cancer Genetic Data into AI Platform to Rapidly Match Patients to Precision Therapies and Clinical Trials
Deep Lens (@deeplens_ai), a software company focused on a groundbreaking approach to faster recruitment of the best-suited cancer patients to clinical trials, has integrated proprietary molecular data parsing and management technology into the company’s award-winning clinical trial screening and enrollment platform, VIPER™. This breakthrough integration will enable cancer care teams, clinical trial sponsors, and trial coordinators to immediately and automatically match patients based on the genetic profile of their cancers to the best precision therapies and oncology clinical trials.

Massive Bio Completes SOC 2 Type 1 Certification
Massive Bio, Inc. (@MassiveBio), a precision medicine and artificial intelligence (AI) enabled patient centric clinical trial enrollment company, announced it has successfully achieved Type 1 Service Organization Control (SOC 2 ®) compliance examination for its flagship digital health platforms.

M6Connect and Sharp HealthCare Advance Digital Agreements With New ‘Insights’ Artificial Intelligence Capabilities
M6Connect, which offers portfolio management solutions, announced its partnership with Sharp HealthCare (@sharphealthcare), a leading healthcare system in southern California, to implement M6’s new ‘Insights’ Artificial Intelligence (AI) capabilities. This marks yet another step toward bringing the benefits of AI to the digital transformation of the agreement process.

C3.ai Releases COVID-19 Data Lake V2
C3.ai (@C3_AI), an AI software provider for accelerating digital transformation, announced the addition of 11 new integrated COVID-19 data sets to the C3.ai™ COVID-19 Data Lake, making it one of the largest pre-integrated and free sources of COVID-19 data in the world. C3.ai COVID-19 Data Lake offers researchers access to normalized, unified data to accelerate efforts in the fight against COVID-19.

Healthstat Announces National Virtual Mental Health Solution
Healthstat, Inc. (@HealthstatInc), a provider of onsite, nearsite, shared and virtual employer-sponsored health centers, announced the nationwide availability of its new virtual mental health solution, Ment4Me, as part of its VirtualCare Platform. Ment4Me is a comprehensive virtual solution that enables employers to improve access to high quality mental health services for employees seeking support for treatable mental health conditions, wherever and whenever needed. Integrated into Healthstat’s existing primary care model, Ment4Me helps to reduce the self-perceived stigma often associated with mental illness, promotes a resilient workforce and helps employers avoid the health and productivity impacts of treatable mental health conditions common in the workplace.

Current Health Selects VivaLNK Wearable Temperature Sensor for Remote Patient Monitoring
VivaLNK (@Viva_LNK), a provider of connected healthcare solutions, announces Current Health (@HeyCurrent) has selected VivaLNK’s continuous temperature sensor for its AI-powered remote patient monitoring (RPM) solution. The solution is designed to reduce hospital overcrowding and readmissions by allowing patient vitals and conditions to be monitored at home.

Exactech and KenSci Publish Research on the Impact of Artificial Intelligence to Predict Clinical Outcomes after Shoulder Arthroplasty
Exactech (@Exactechinc), a developer and producer of innovative implants, instrumentation and computer-assisted technologies for joint replacement surgery, and KenSci (@KenSci), a healthcare artificial intelligence (AI) platform company, announced that a collaborative, foundational study on using machine learning (ML) to predict outcomes after shoulder arthroplasty has been published in Clinical Orthopaedics and Related Research, one of the premier scientific journals in orthopaedics.

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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.

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.