Skip to main content

VIEW LARGER COVER

The big data revolution, accompanied by the development and deployment of wearable medical devices and mobile health applications, has enabled the biomedical community to apply artificial intelligence (AI) and machine learning algorithms to vast amounts of data. This shift has created new research opportunities in predictive analytics, precision medicine, virtual diagnosis, patient monitoring, and drug discovery and delivery, which has garnered the interests of government, academic, and industry researchers alike and is already putting new tools in the hands of practitioners.

This boom in digital health opportunities has also raised numerous questions concerning the future of biomedical research and healthcare practices. How reliable are deployed AI-driven diagnostic tools, and what is the impact of these tools on doctors and patients? How vulnerable are algorithms to bias and unfairness? How can research improve the process of detecting unfairness in machine learning algorithms? How are other fields simultaneously advancing AI applications? How will academia prepare scientists with the skills to meet the demands of the newly transformed industry? Informed answers to these and other questions require interdisciplinary discussion and collaboration. On February 13 and 14, 2018, the National Academies of Sciences, Engineering, and Medicine convened a workshop to explore these and other questions related to the emerging use of AI and machine learning technologies in translational research. This publication summarizes the presentations and discussions from the workshop.

Suggested Citation

National Academies of Sciences, Engineering, and Medicine. 2018. Artificial Intelligence and Machine Learning to Accelerate Translational Research: Proceedings of a Workshop—in Brief. Washington, DC: The National Academies Press. https://doi.org/10.17226/25197.

Import this citation to:

Publication Info

9 pages | 8.5 x 11 |  DOI: https://doi.org/10.17226/25197

What is skim?

The Chapter Skim search tool presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter. You may select key terms to highlight them within pages of each chapter.

Copyright Information

The National Academies Press (NAP) has partnered with Copyright Clearance Center's Rightslink service to offer you a variety of options for reusing NAP content. Through Rightslink, you may request permission to reprint NAP content in another publication, course pack, secure website, or other media. Rightslink allows you to instantly obtain permission, pay related fees, and print a license directly from the NAP website. The complete terms and conditions of your reuse license can be found in the license agreement that will be made available to you during the online order process. To request permission through Rightslink you are required to create an account by filling out a simple online form. The following list describes license reuses offered by the National Academies Press (NAP) through Rightslink:

  • Republish text, tables, figures, or images in print
  • Post on a secure Intranet/Extranet website
  • Use in a PowerPoint Presentation
  • Distribute via CD-ROM
  • Photocopy

Click here to obtain permission for the above reuses. If you have questions or comments concerning the Rightslink service, please contact:

Rightslink Customer Care
Tel (toll free): 877/622-5543
Tel: 978/777-9929
E-mail: customercare@copyright.com
Web: http://www.rightslink.com

To request permission to distribute a PDF, please contact our Customer Service Department at 800-624-6242 for pricing.

To request permission to translate a book published by the National Academies Press or its imprint, the Joseph Henry Press, pleaseclick here to view more information.

Loading stats for Artificial Intelligence and Machine Learning to Accelerate Translational Research: Proceedings of a Workshop—in Brief...