Sorting out AI, ML, DL, and NLP

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Posted By: Roberta Mullin April 29, 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.

Follow the hashtag #AIinHealthcare.

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From Dr. Nick: The Incrementalist, host Dr. Nick van Terheyden aka Dr. Nick talks to three of the leaders from Medicomp Systems on the emergence of AI, NLP and machine learning as the major technology buzz this year, how poor EHR usability design has contributed to clinician burnout, and the critical role of the nurse in health IT decisions. Guests include: David Lareau, CEO, Jay Anders, MD, CMO, and Toni Laracuente, RN, CNO.

In the News

Current Health Launches a Collaboration with Mayo Clinic to Detect COVID-19 Infection Using AI
Current Health (@HeyCurrent) announced that it has launched a collaboration with Mayo Clinic to develop remote monitoring solutions that accelerate the identification of COVID-19-positive patients and predict symptom and disease severity in patients, healthcare workers and other at-risk individuals in critical service sectors. Using digital biomarkers collected by Current Health’s FDA-cleared remote monitoring sensors and platform, experts from Mayo Clinic and Current Health will also be able to expedite identification and assessment of treatment efficacy and improve care for patients with or at risk of COVID-19 infection.

SRI Ventures Startup Decoded Health Launches Telehealth App Powered by Explainable AI to Meet Demand Surge Amidst COVID-19 Pandemic
SRI Ventures, the corporate venture arm of SRI International, announced the release of Decoded Health’s first telehealth app that uses explainable artificial intelligence technology to automate patient communication, and generate real-time, personalized, clinical recommendations for providers. By leveraging advanced machine learning and explainable AI, Decoded Health improves the capacity and quality of primary and urgent care. The mobile app can be used to assess any patient concern, including common illnesses such as the flu, as well as new illnesses such as the rapidly growing novel coronavirus pandemic.

MDmetrix Helps Eliminate Opioids for Most Pediatric Outpatient Surgeries
MDmetrix (@MDmetrix), a clinical performance management company, announced that its artificial intelligence (AI)-driven technology was a pivotal component in a joint initiative with Seattle Children’s Hospital at its Bellevue Clinic and Surgery Center (BCSC) to develop the nation’s first-ever “opioid-free” surgery center.

Anesthesia Business Consultants Leverages Artificial Intelligence to Predict Practice Performance Amidst COVID-19 Pandemic
Anesthesia Business Consultants, LLC (ABC) (@AnesthesiaLLC), a provider in billing and practice management for the anesthesia and pain management specialty, has leveraged its artificial intelligence platform, F1RSTAI, to evaluate patient outcomes as it relates to COVID-19 infections and has built regional and practice specific projections on future financial trends and impacts of the COVID-19 disease.

Nuritas Leverages AI Platform to Identify Therapeutic Peptides for the Treatment of COVID-19
Nuritas (@NuritasResearch), a biotechnology company that is revolutionizing the discovery and use of therapeutic peptides through artificial intelligence (AI) and genomics, announced that it has received a grant from Partnership for Advanced Computing in Europe (PRACE) to identify therapeutic peptides for the treatment of patients with COVID-19.

Covid-19: Causaly Partners with UCL to Accelerate Coronavirus Research
Causaly (@CausalyAI) announces a new partnership with University College London (UCL) (@ucl) to help accelerate research into the pandemic. Causaly uses artificial intelligence to rapidly read, understand and interpret vast databases of biomedical knowledge. Their platform surfaces evidence from 30 million biomedical publications in seconds, enabling researchers to rapidly map epidemiology data, biomarker genes, molecular targets and identify potential treatment options.

Northwestern Medicine HealthCare to Implement AI Decision Support Platform From Siris Medical to Ensure High Quality Treatment While Streamlining Prior-Authorization Workflow
Siris Medical, Inc., a company with headquarters in Silicon Valley and Boston that offers the only Artificial Intelligence (AI)-driven treatment decision-support system for use in radiation oncology, announced that it has been awarded a contract with Northwestern Medicine (NM) Department of Radiation Oncology. NM will implement Siris’s InsightRTTM software as the primary treatment decision-support tool for the treatment of cancer patients.

Lumiata Brings AI to the Forefront with COVID-19 Global AI Hackathon
Lumiata (@Lumiata) uses artificial intelligence to address the cost and risk of healthcare for customers. As the provider of an AI-powered platform and models for the healthcare industry, Lumiata accelerates its focus on the world’s most pressing issue, COVID-19, with the Lumiata COVID-19 Global AI Hackathon. Lumiata invites data scientists, machine learning practitioners, developers, health IT professionals, public health experts and others around the globe, to participate in the hackathon and address current challenges posed by COVID-19 and/or the future impact of COVID-19 on global healthcare.

Sema4 and VieCure Announce Strategic Collaboration to Accelerate Precision Oncology Care
Sema4 (@sema4), a patient-centered health intelligence company, and VieCure (@VieCure), an artificial intelligence (AI) informatics company with a leading point-of-care clinical decision support platform and a comprehensive electronic medical record (EMR) in oncology, announced a strategic collaboration designed to help oncologists deliver personalized care and treatment to their patients.

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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.