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 How I Transformed This, hosts Tammy Hawes and Clark Buckner talk with Dilawar Syed, CEO of Lumiata, about Lumiata’s innovative approach, and how artificial intelligence can help manage the COVID-19 pandemic.

In the News

Massive Bio Has Been Awarded a Contract by the NCI to Develop an Oncology Based Artificial Intelligence-Enabled Clinical Trial Recruitment Tool
Massive Bio, Inc. (@MassiveBio), a precision medicine and artificial intelligence (AI)-enabled patient-centric clinical trial enrollment company, announced it has been awarded a Small Business Innovation Research (SBIR) contract by the National Cancer Institute (NCI) (@theNCI) to develop and characterize the Deep Learning Clinical Trial Matching System (DLCTMS). The development of the DLCTMS has the potential to enhance clinical trial enrollment and retention across NCI clinical trial networks and beyond.

Hummingbird Bioscience Announces Collaboration with Tempus to Harness AI-driven Precision Medicine to Accelerate Clinical Development of HMBD-001 In HER3 Driven Cancers
Hummingbird Bioscience (@hummingbirdbio), an innovative clinical-stage biotech company focused on developing revolutionary therapies for hard-to-drug targets, announced a collaboration with Tempus (@TempusLabs), a leader in artificial intelligence and precision medicine, to drive the development of Hummingbird’s lead clinical program, HMBD-001, as it advances into clinical trials in HER3-driven cancers, including those that harbor neuregulin 1 (NRG1) fusions. As part of the collaboration, Hummingbird will be leveraging Tempus’ AI-enabled platform and proprietary data, as well as joining its TIME Trial® Network, for rapid identification, site activation and efficient enrollment of cancer patients who have NRG1 fusions and meet eligibility criteria for HMBD-001 clinical trials.

New Study Confirms VisualDx’s AI Improves Diagnostic Accuracy at the Point of Care
A new study published in the Journal of Investigative Dermatology (JID) found that VisualDx’s (@VisualDx) artificial intelligence solution, DermExpert™ , analyzed skin conditions with the same degree of accuracy as primary care physicians (PCPs) referencing a visual aid. The researchers also found that DermExpert was equally effective when identifying diseases in light and dark skin types, suggesting that clinical decision support tools built on diverse data sets can augment physician decision-making and help to reduce medical errors and improve patient outcomes, particularly for patients of color.

University of Iowa Health Care Contracts with Caresyntax to Support Operating Room Safety, Quality, and Standardized Team-Based Assessments
Caresyntax (@caresyntax), a pioneer in surgical automation, analytics, and AI software and technologies, announced an agreement with the University of Iowa Health Care to help improve the safety and efficiency of surgeries performed at the university medical center. As part of the project, UI Health Care will use near real-time data to improve patient safety and quality across the surgical continuum.

Product & Company News

RSIP Vision Announces New Cardiac Diagnostic Tool for Point-of-Care Ultrasound Screening
RSIP Vision (@RSIPvision), an experienced leader in driving innovation for medical imaging through advanced AI and computer vision solutions, announces a new medical ultrasound module. This new software module enables medical teams at various point-of-care settings to perform a heart evaluation quickly with high accuracy and receive an immediate, onsite diagnostic from the Parasternal Long Axis (PLAX) view. This new vendor-neutral technology will be available to third-party ultrasound manufacturers and medical devices vendors, allowing them an improved way to save lives and improve day-to day-clinical care.

Biocogniv & Research Partners Detail First Artificial Intelligence Tool to Help Laboratories Rule-Out COVID-19
Hospital-based laboratories and doctors at the front line of the COVID-19 pandemic might soon add artificial intelligence to their testing toolkit. A recent study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv’s (@biocogniv) new AI-COVID™ software. The team found high accuracy in predicting the probability of COVID-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing. Their study in the Journal of Medical Internet Research is available online.

Bayer and Tempus Initiate Collaboration to Advance Patient Access to Genomic Testing and Precision Medicine
Bayer (@Bayer) and Tempus (@TempusLabs), leaders in precision medicine and artificial intelligence (AI), announced a new collaboration designed to provide broader access to genomic testing and tailored treatment approaches for the oncology community. The collaboration will include an initiative to help facilitate patient identification for precision oncology by providing testing, via the Tempus xT broad-panel genomic sequencing assay, for a subset of patients with metastatic colorectal cancer (mCRC), as well as those with radioactive iodine refractory differentiated metastatic thyroid carcinoma (RAIR thyroid cancers). Looking ahead, Bayer and Tempus will continue to implement data-enriched initiatives dedicated to supporting patients.

To Read

Matthew Lamons

Healthcare AI News

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.