Artificial Intelligence at NIH
About Artificial Intelligence at the NIH
The National Institutes of Health (NIH) makes a wealth of biomedical data available to research communities and aims to make these data findable, accessible, interoperable, and reusable—or FAIR. Additionally, the NIH seeks to make these data usable with artificial intelligence and machine learning (AI/ML) applications. Often described as computers “thinking like humans,” AI/ML leverages computer models and systems to simulate intelligent or human-like decision-making.
These large and diverse datasets can create a broad new horizon for AI/ML, also creating the opportunity to use critical, data-driven discovery approaches to biomedical research. NIH has unique needs that can drive the development of novel approaches and application of existing tools in AI/ML. From electronic health record (EHR) data, omics data, imaging data, disease-specific data, and beyond, NIH is poised to create and implement large and far-reaching applications with AI and its components.
Featured Funding Opportunities
- NEW Research Opportunity Announcement: AIM-AHEAD Coordinating Center: Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (OTA-21-017)
- Data Generation Projects for the NIH Bridge to Artificial Intelligence (Bridge2AI) Program (OT2) (OTA-21-008)
- Integration, Dissemination, and Evaluation (BRIDGE) Center for the NIH Bridge to Artificial Intelligence (Bridge2AI) Program (U54 Clinical Trial Not Allowed) (RFA-RM-21-023)
The Office of Data Science Strategy (ODSS) coordinates trans-NIH efforts in AI/ML to complement the advancements many of the 27 NIH institutes and centers are making in this area. Additionally, the NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program is working to address widespread adoption of AI. The NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program aims to increase participation and representation of currently underrepresented communities in the development and adoption of AI/ML.
Initiatives to Advance AI for Biomedical Research
The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of AI that tackles complex biomedical challenges beyond human intuition.
NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program will establish mutually beneficial and coordinated partnerships to increase the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models.
Many of NIH's 27 institutes and centers are developing and implementing AI/ML technologies.
- NIH Advisory Committee to the Director Working Group on AI: Presentation and Report (December 2019)
- Artificial Intelligence - Opportunities in Cancer Research
- Artificial Intelligence - NIBIB
- First mechanical calculating machine, French mathematician and inventor Blaise Pascal
- Image credit: Britannica.com
- First design for a programmable machine, Babbage and Lovelace
- Image credit: hackerearth.com
- Neural Networks established, McCulloch and Pitts
- Image credit: towardsdatascience.com
- Alan Turning introduces Turing Test for machine intelligence
- Image credit: Britannica.com
- "Artificial Intelligence" coined during Dartmouth Workshop
- By Source, Fair use, https://en.wikipedia.org/w/index.php?curid=14332488
- ELIZA natural language processing computer
- Image credit: analyticsindiamag.com
- Feigenbaum develops expert decision support system
- Image credit: https://en.wikipedia.org/wiki/Expert_system#/media/File:Symbolics3640_Mo...
- Deep Blue beats world chess champion Garry Kasparov
- Image credit: PRI.org
- iRobot launches Roomba
- Image credit: iRobot.com
- Google builds first urban self-driving car
- Image credit: wired.com
- IBM Watson wins Jeopardy!
- Image credit: cbsnews.com
- Personal Assistant, Siri
- Image credit: techcrunch.com
- AlphaGo beats professional Go player Lee Sedol
- Image credit: alphago
- Artificial Intelligence successfully diagnosed lung cancer in X-ray and CT scans
- Image credit: venturebeat.com
- GPT-3 — the biggest achievement of NLP
- Image credit: crowdbioticsblog.com
- Ingenuity is the first remote and AI-enabled object to fly on Mars
- Image credit: nasa.gov
This page last reviewed on July 16, 2021