Skip to main content
  • U.S. Department of Health & Human Services
National Institutes of Health (NIH) - Turning Discovery into Health
  • Virtual Tour
  • En Español

Site Menu

  • Home
  • Health Information
    • Health Care Providers & Facilities
    • Health Info Lines
    • HealthCare.gov
    • Science Education Resources
    • NIH Clinical Research Trials and You
    • Talking to Your Doctor

    More »

    Quick Links

    • MedlinePlus Health Info
    • NIH News in Health
    • Wellness Toolkits
  • Grants & Funding
    • Grants Home Page
    • Find Funding
    • Due Dates
    • How to Apply
    • About Grants
    • Policy & Compliance
    • Grants News/Blog
    • Contracts
    • Loan Repayment

    More »

    Quick Links

    • RePORT
    • eRA Commons
    • NIH Common Fund
  • News & Events
    • News Releases
    • Digital Media Kits
    • Media Resources
    • Media Contacts
    • Images and B-roll
    • Events
    • Social Media

    More »

    Quick Links

    • NIH News in Health
    • NIH Research Matters
    • NIH Record
  • Research & Training
    • Medical Research Initiatives
    • Science Highlights
    • Science Education
    • Research in NIH Labs & Clinics
    • Training Opportunities
    • Library Resources
    • Research Resources
    • Clinical Research Resources
    • Safety, Regulation and Guidance

    More »

    Quick Links

    • PubMed
    • Stem Cell Information
    • OppNet
    • NIDB
    • NIH Blueprint for Neuroscience Research
  • Institutes at NIH
    • List of Institutes and Centers
    • NIH Office of the Director
    • Directors of NIH Institutes and Centers
    • NIH Institute and Center Contact Information

    More »

    Quick Links

    • NCI
    • NEI
    • NHLBI
    • NHGRI
    • NIA
    • NIAAA
    • NIAID
    • NIAMS
    • NIBIB
    • NICHD
    • NIDCD
    • NIDCR
    • NIDDK
    • NIDA
    • NIEHS
    • NIGMS
    • NIMH
    • NIMHD
    • NINDS
    • NINR
    • NLM
    • CC
    • CIT
    • CSR
    • FIC
    • NCATS
    • NCCIH
  • About NIH
    • Who We Are
    • What We Do
    • Jobs at NIH
    • Visitor Information
    • Frequently Asked Questions
    • Contact Us

    More »

    Quick Links

    • The NIH Director
    • Take the Virtual Tour
    • NIH…Turning Discovery Into Health®
    • Impact of NIH Research
    • Science, Health, and Public Trust

You are here

Home » News & Events » News Releases

News Releases

Media Advisory

Thursday, April 18, 2019

National experts chart roadmap for AI in medical imaging

Brain CT, ultrasound, and mammogram overlaid on background image of silicon chips. AI and machine learning could improve the diagnostic power of medical imaging.Composed from images at NCI Visuals Online

What

A foundational research roadmap for artificial intelligence (AI) in medical imaging was published this week in the journal Radiology. The report was based on outcomes from a workshop to explore the future of AI in medical imaging, featuring experts in medical imaging, and hosted at the National Institutes of Health in Bethesda, Maryland. The workshop was co-sponsored by the National Institute of Biomedical Imaging and Bioengineering, the Radiological Society of North America, the American College of Radiology, and the Academy for Radiology and Biomedical Imaging Research.

The collaborative report underscores the commitment by standards bodies, professional societies, governmental agencies, and private industry to work together to accomplish a set of shared goals in service of patients, who stand to benefit from the potential of AI to bring about innovative imaging technologies.

The report describes innovations that would help to produce more publicly available, validated and reusable data sets against which to evaluate new algorithms and techniques, noting that to be useful for machine learning these data sets require methods to rapidly create labeled or annotated imaging data. The roadmap of priorities for AI in medical imaging research includes:

  • new image reconstruction methods that efficiently produce images suitable for human interpretation from source data,
  • automated image labeling and annotation methods, including information extraction from the imaging report, electronic phenotyping, and prospective structured image reporting,
  • new machine learning methods for clinical imaging data, such as tailored, pre-trained model architectures, and distributed machine learning methods,
  • machine learning methods that can explain the advice they provide to human users (so-called explainable artificial intelligence), and
  • validated methods for image de-identification and data sharing to facilitate wide availability of clinical imaging data sets.

Article

Langlotz, CP, et al. A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology. April 16, 2019.

Co-authors of the report with Curtis P. Langlotz were Bibb Allen, M.D.; Bradley J. Erickson, M.D., Ph.D.; Jayashree Kalpathy-Cramer, Ph.D.; Keith Bigelow, B.A.; Tessa S. Cook, M.D., Ph.D.; Adam E. Flanders, M.D.; Matthew P. Lungren, M.D., M.P.H.; David S. Mendelson, M.D.; Jeffrey D. Rudie, M.D., Ph.D.; Ge Wang, Ph.D.; and Krishna Kandarpa, M.D., Ph.D.

Who

Kris Kandarpa, M.D., Ph.D., Director of Research Sciences and Strategic Directions at NIBIB, is available for comment.

About the National Institute of Biomedical Imaging and Bioengineering: NIBIB’s mission is to improve health by leading the development and accelerating the application of biomedical technologies. The Institute is committed to integrating the physical and engineering sciences with the life sciences to advance basic research and medical care. NIBIB supports emerging technology research and development within its internal laboratories and through grants, collaborations, and training. More information is available at the NIBIB website: http://www.nibib.nih.gov.

About the National Institutes of Health (NIH): NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit www.nih.gov.

NIH…Turning Discovery Into Health®

###

Institute/Center

National Institute of Biomedical Imaging and Bioengineering (NIBIB)

Contact

Raymond MacDougall
301-451-7638

Connect with Us

  • Subscribe to news releases
  • RSS Feed

Connect with Us

  • Contact Us
  • X
  • Facebook
  • Instagram
  • YouTube
  • Flickr
  • More Social Media from NIH

Footer

  • NIH Home
  • Virtual Tour
  • En Español
  • Visitor Information
  • Frequently Asked Questions
  • Privacy Policy
  • Disclaimers
  • Accessibility
  • NIH Website Archives
  • Nondiscrimination Notice
  • Freedom of Information Act
  • No Fear Act
  • HHS Vulnerability Disclosure
  • Office of Inspector General
  • USA.gov

NIH…Turning Discovery Into Health®

National Institutes of Health, 9000 Rockville Pike, Bethesda, Maryland 20892

U.S. Department of Health and Human Services

Back to Top