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 Read

FDA Hints to Wider Approvals for AI-Based Healthcare Tools: Testimonial That It’s Working – Artificial intelligence and machine learning technologies are poised to transform healthcare sooner, rather than later, if the FDA’s increased interest is any indication. Starting with the 21st Century Cures Act and subsequent draft guidance aimed at lessening the regulatory burden for some clinical decision support software, the FDA has its eyes on paving a clearer path to accelerate medical product development and bringing healthcare innovations and advances to patients who need them faster and more efficiently.

How is Artificial Intelligence Used in Healthcare? – Artificial Intelligence is now playing an important role in Healthcare industry with varied scope into the sub-fields of medical treatments. Further with more improvements and innovations in implementing the AI to get more accurate results, machine learning algorithms will contribute significant resources to make the diagnosis and treatment process faster and effective.

AI set to become important component of drug discovery, development – Despite some uncertainties around artificial intelligence in health care, one area where it is drawing significant interest is in drug discovery and development. A partnership between Swiss drugmaker Novartis and US chip maker Intel has enabled researchers to use deep neural networks to cut the time for analyzing microscopic images from 11 hours to 31 minutes, Intel said last month. The announcement noted that the images used in the analysis are more than 26 times larger than those in a more commonly used dataset containing images of animals, objects and scenes.

 In the News

AMA Passes First Policy Recommendations on Augmented Intelligence
The promise of augmented intelligence (AI) in spurring technological innovation in medicine has generated growing interest among health care stakeholders. It also has spurred a range of concerns about the novel challenges in the design, implementation, and use – especially how AI will be incorporated into the practice of medicine and affect patients. With those varied perspectives, the American Medical Association (@AmerMedicalAssn) passed its first policy addressing AI at its Annual Meeting, adopting broad policy recommendations for health and technology stakeholders on this issue. Read the press release.

Orbita and AARP will study effectiveness of AI-driven voice applications that improve remote patient monitoring and reduce social isolation
Orbita, Inc. (@orbita_inc), which provides a first-of-its-kind technology platform for creating health-care specific voice and conversational AI solutions, announced a collaboration with AARP to study remote patient monitoring and reduce social isolation. As participants in the 2018 Pulse@MassChallengeaccelerator, the organizations will study new digital approaches for leveraging natural language processing to new enable hands-free, digital experiences for the 50-plus population.The work will guide ongoing development of solutions providing intuitive in-home access to information and tools to improve self-care among adults.

To View


PATH Summit
When: September 30-October 2, 2018
Where: Omni Shoreham in Washington, DC
Networking Event for Automation and Artificial Intelligence in Healthcare – Learn More.

AI Solve: Healthcare – Webcast Replay
Recorded March 21, 2018 at UCSF in SanFrancisco
View the recording

AI is already beginning to shape the healthcare industry, Intel brought together some of the leading minds in the space. At the event called Intel SOLVE: Healthcare, in San Francisco, Intel brought together researchers from Harvard, Princeton, Stanford, GE Healthcare, Optum, Mayo Clinic, The MIT/Harvard Broad Institute and more to talk about the work they are doing with AI.

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.