Sorting out AI, ML, DL, and NLP

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Posted By: Roberta Mullin October 13, 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 de Jure, host Matt Fisher’s guest is Joe Schmid, Chief Technology Officer, SymphonyRM. Topics include: Use of artificial intelligence for patient engagement and driving proactive engagement; challenges of cleaning up data and removing silos between data sources; working backwards from an objective to find best means of presenting; addressing implicit bias and looking at holistic solutions.

In the News

Deep Lens and Pacific Cancer Care Enter Strategic Partnership to Improve Clinical Trial Matching for Oncology Patients
Pacific Cancer Care and Deep Lens (@deeplens_ai) announced that they are collaborating to optimize clinical trial matching and accelerate enrollment at the Monterey-based practice through the use of Deep Lens’ artificial-intelligence (AI) based solutions and other services. Pacific Cancer Care is the largest hematology and oncology practice on the California Central Coast. Deep Lens is a digital healthcare company that helps community oncology practices improve and expand clinical research programs through the use of their proprietary AI solution, VIPER™.

DreaMed Receives FDA Clearance for its Type 2 Diabetes AI-based Clinical Decision Support System
DreaMed Diabetes AI LTD. (@DreaMedDiabetes), a developer of the Advisor Pro Al Clinical Decision Support System expert-care platform for diabetes, announced that it has received its 4th U.S Food and Drug Administration (FDA) clearance that expands the platform’s target population to patients with both type 1 and type 2 diabetes. Advisor Pro is the first decision support system that has been cleared to assist healthcare providers in the management of diabetes patients who use insulin pumps or injections and monitor their glucose using continuous glucose monitor and/or blood glucose meters.

Proscia Announces Artificial Intelligence Breakthrough in Melanoma Detection
Proscia® (@ProsciaInc), a provider of digital and computational pathology solutions, has released study results on new technology that leverages artificial intelligence (AI) to automatically detect melanoma, the deadliest form of skin cancer, with a high degree of accuracy. The findings illustrate the promise of AI to deliver faster diagnoses, improve patient outcomes, and optimize laboratory economics in the routine practice of pathology.

ePlus Launches Turn-Key Technology Bundle to Facilitate Adoption of Artificial Intelligence by Healthcare Organizations
ePlus inc. (@ePlus) announced that it has launched an artificial intelligence (AI) workflow technology bundle, combining hardware, software and AI implementation services, to help healthcare organizations accelerate clinical and operational AI projects from concept to production.

Product & Company News

Twin Health Raises $140M Series C to Scale Its Groundbreaking Whole Body Digital Twin™ Service Enabling Reversal and Prevention of Chronic Metabolic Disease
Twin Health (@TwinForHealth), makers of the Whole Body Digital Twin™ precision health service, announced $140 million in Series C funding as it scales its service in the U.S. and globally. Founded in 2018, Twin Health invented the Whole Body Digital Twin™ to help reverse and prevent chronic metabolic diseases, while improving energy and physical health. Powered by artificial intelligence, the Whole Body Digital Twin™ is a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive wearable sensors and self-reported preferences.

OneMedNet Partners with Arterys to Accelerate Access to World Class Clinical AI products and Solutions
OneMedNet Corporation (@OneMedNet), a curator of regulatory-grade imaging Real World Data (RWD), has partnered with Arterys (@ArterysInc) who offer a leading global imaging platform to deliver world class clinical AI products over the internet. OneMedNet is providing Arterys with precise RWD to aid in the development, validation, and regulatory approval of its solutions. The effective use of high-quality imaging RWD is a growing requirement for Life Science innovators to maximize safety and account for wide-ranging population diversity.

GNS Healthcare Announces a Multi-Year Collaboration with a Leading US Cancer Center to Advance Precision Medicine in Oncology
GNS Healthcare (GNS) (@gnshealthcare), an artificial intelligence company creating in silico patients that simulate drug treatment at the individual patient level, announced a multi-year collaboration with Memorial Sloan Kettering Cancer Center (MSK) to leverage longitudinal multi-modal prostate cancer patient data and world class prostate cancer expertise with GNS’ Gemini in silico Prostate Cancer patient.

Aidoc and Subtle Medical Partner to Bring End-to-End AI Solutions to Medical Imaging
Aidoc (@aidocmed), a provider of AI for medical imaging, announced a partnership with Subtle Medical (@SubtleMedical), a developer of AI-based image enhancement bringing best-of-breed AI to both image acquisition and post-acquisition clinical workflows. Aidoc has developed the industry’s most robust AI platform, delivering a unified and seamless cross-specialty AI experience for physicians in over 500 medical centers, including the largest clinical deployment of AI in healthcare at Radiology Partners.

To Read

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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.

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.