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.

To Listen

From Payment Matters, host Jeff Lin is joined by Steve Wigginton, CEO of Icario, to discuss how health plans can use smarter communications, driven by data and AI, to improve consumer outcomes and experiences.

In the News

Envision Healthcare Radiologists Harness Artificial Intelligence to Enhance Care Quality, Patient Experience
Envision Healthcare (@EnvisionLeads), a national medical group, announced that its radiologists are successfully leveraging artificial intelligence (AI) to enhance clinical evaluations and the delivery of high-quality, patient-centered care. The newly implemented AI software assists radiologists with disease detection, case prioritization and diagnosis, and has been optimized to detect three common and consequential medical emergencies: intracranial hemorrhages, pulmonary embolisms and cervical spine fractures.

Dosis Survey: Large Majority of Patients Confident About Personalized Medicine
Research from health technology pioneer Dosis (@dosisinc) suggests that a large majority (85%) of people believe personalized medicine can enhance care delivery. Dosis, a personalized dosing platform focused on chronic disease management, surveyed more than 1,000 people, and found that nearly 80% of respondents think personalized medicine should become the standard of care for everyone.

RSIP Vision Announces New Tool for Sports Medicine Applications, Enabling Automated Assessment of Cartilage Damage
RSIP Vision (@RSIPvision), a clinically proven company in real-world AI solutions for medical image analysis, announced a new articular cartilage segmentation tool that delivers accurate, non-invasive and automatic assessment of chondral lesions in MRI scans. This new software module enables quick, precise, deep learning-based segmentation of joint cartilage from MRI scans of hips, knees, and ankles. RSIP Vision’s advanced medical imaging algorithms provide accurate measurement of the location, geometry and boundaries of osteochondral lesions in MRI images, which enable the physician to easily evaluate the extent of the damage, select the appropriate treatment and assess its efficacy.

Screening for Dementia with Artificial Intelligence
With the support of a new grant worth $3.9 million, Michigan State University (@MSUnews) researchers are developing technology that scans speech and vocabulary patterns to catch early signs of Alzheimer’s disease, the most common cause of dementia. Jiayu Zhou, an associate professor in MSU’s College of Engineering, is leading the effort that’s powered by artificial intelligence, or AI, and funded by the National Institutes of Health. In collaboration with Oregon Health & Science University and Weill Cornell Medicine, the goal is to code an easy-to-use smart phone app to help assess whether a follow-up medical diagnosis is needed.

WHO Issues First Global Report on Artificial Intelligence (AI) in Health and Six Guiding Principles for Its Design and Use
Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance published in June. The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of international experts appointed by WHO.

Product & Company News

AscellaHealth Announces Partnership with Banjo Health Inc., Improves Patient Care by Streamlining the Prior Authorization Process
AscellaHealth (@AscellaHealth), a global specialty pharmacy and healthcare solutions company, announces the signing of a multi-year partnership with Banjo Health (@BanjoHealth), an artificial intelligence (AI)-powered Prior Authorization (PA) solutions company, to improve patient care by reducing PA review times. By teaming up with the first company to launch AI clinical decision support for payers integrated within Banjo Health, AscellaHealth is poised to become the preeminent leader in serving its commercial, Medicare and Medicaid members with a streamlined PA process.

Sweetch Secures $20 Million Series A to Accelerate Fully Automated Hyper-Personalized Engagement Between Health Ecosystem Players and People with Chronic Conditions
Sweetch, a digital therapeutics innovator and creator of the hyper-personalized engagement platform for chronic conditions, announced the completion of a $20 million Series A round of funding. The funds will be directed toward the company’s continued global expansion and further development of its artificial intelligence (AI) and emotional intelligence (EI) behavioral science technology that engages individuals to achieve their health goals with the right message in the right tone, time and real-world context. and Avicenna.AI Partner to Launch World-class AI-Driven Intelligent Care Coordination for Pulmonary Embolism and Aortic Disease (@viz_ai), a AI-driven intelligent care coordination company, has partnered with Avicenna.AI (@AvicennaAi), a global company in artificial intelligence solutions, to enable intelligent care coordination and improve patient triage of patients suffering from pulmonary embolism (PE) and aortic disease. The collaboration will pave the way for faster clinical decision making and care for patients suffering from these two life threatening conditions.

To Read

New VA Tool Uses Artificial Intelligence to Predict COVID-19 Patient MortalityBy Mike Richman, VA Research Communications (@DeptVetAffairs) – Tim Strebel is no stranger to the spirit of innovation. Currently a computer programmer focusing on health informatics at the Washington DC VA Medical Center, Strebel has been recognized by VA for his ingenuity. He’s a two-time winner of the VA “Shark Tank” Award, which honors innovative practices, for developing two software packages to automate the jobs of those who work in prosthetics. The software expedites the billing process for home oxygen users and the ordering of eyeglasses. Both products are used at many VA medical centers. For the eyeglass tool, he also won VA’s Gears of Government Award, which recognizes federal employees and teams whose dedication supports exceptional delivery of key outcomes for the American people.

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.

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.