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NotifAI-OS: an AI framework for automated CT-based opportunistic screening in post-acute value-based care

Nature Biomedical Engineering volume 9, pages 1791–1796 (2025)Cite this article

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NotifAI-OS (notification artificial intelligence for opportunistic screening) is a conceptual deep learning-based framework that performs automated multi-target analysis of computed tomography examinations through quantitative tissue density and volumetric measurements to enable comprehensive disease screening during routine computed tomography examinations.

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Fig. 1: NotifAI-OS framework for AI-driven care integration.
Fig. 2: Steatotic liver disease implementation with automated care coordination.

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Acknowledgements

We thank the members of the Rajpurkar laboratory for insightful feedback and discussions that strengthened the development of the NotifAI-OS conceptual framework. R.M.S. is supported by the Intramural Research Program of the National Institutes of Health Clinical Center. The contributions of the NIH author(s) are considered Works of the United States Government. The findings and conclusions presented in this paper are those of the author(s) and do not necessarily reflect the views of the NIH or the US Department of Health and Human Services.

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Author notes

  1. These authors contributed equally: David Kim, Pranav Rajpurkar.

Authors and Affiliations

  1. Department of Interventional Radiology, University of Miami, Miami, FL, USA

    Rohit Reddy

  2. Department of Radiology, University of Wisconsin, Madison, WI, USA

    Perry J. Pickhardt

  3. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA

    Arjun Manrai & Pranav Rajpurkar

  4. Department of Radiology, National Institutes of Health Clinical Center, Bethesda, MD, USA

    Ronald M. Summers

  5. Department of Emergency Medicine, Stanford University, Stanford, CA, USA

    David Kim

Authors
  1. Rohit Reddy
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  2. Perry J. Pickhardt
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  3. Arjun Manrai
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  4. Ronald M. Summers
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  5. David Kim
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  6. Pranav Rajpurkar
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Contributions

R.R. — conceptualization, methodology, investigation, writing, reviewing and editing; P.J.P. — methodology, reviewing and editing; A.M. — conceptualization and methodology; R.M.S. — writing, reviewing and editing; D.K. — conceptualization, methodology, reviewing and editing; P.R. — conceptualization, methodology, investigation, reviewing and editing.

Corresponding author

Correspondence to Pranav Rajpurkar.

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Competing interests

R.M.S. has received royalties for software or patent licences from iCAD, Philips, ScanMed, PingAn, MGB and Translation Holdings, and research support through a cooperative research and development agreement (CRADA) with PingAn. The other authors declare no competing interests.

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Nature Biomedical Engineering thanks Hieu (H) Pham and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Reddy, R., Pickhardt, P.J., Manrai, A. et al. NotifAI-OS: an AI framework for automated CT-based opportunistic screening in post-acute value-based care. Nat. Biomed. Eng 9, 1791–1796 (2025). https://doi.org/10.1038/s41551-025-01558-7

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