A Case Study of AI-Enabled Software as a Medical Device Cleared by the FDA for Assessing Hemorrhage Risk Index (APPRAISE-HRI) after Trauma

Andrew Frock, Jeffrey T. Robbins, Francisco G. Vital-Lopez, Valmik Desai, Gheorghe Doros, Barry E. Sands, Arunkumar Prabhakaran, Christopher Nemeth, Gregory T. Rule, Jason L. Sperry, Francis X. Guyette, Stephen R. Wisniewski, Ernest E. Moore, Martin Schreiber, Bellal Joseph, Chad T. Wilson, Bryan Cotton, Daniel Ostermayer, Brian G. Harbrecht, Mayur B. Patel, Suzanne Tamang, Sanjay Malunjkar, David A. Spain, Andrew T. Reisner, Jonathan D. Stallings, Jaques Reifman

Open source

DOI
10.1056/aics2401170
Published
2025-10-23
Container
NEJM AI
Publisher
Massachusetts Medical Society
Open access
unknown

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BibTeX

@article{allodium:10.1056/aics2401170,
  title = {A Case Study of AI-Enabled Software as a Medical Device Cleared by the FDA for Assessing Hemorrhage Risk Index (APPRAISE-HRI) after Trauma},
  author = {Andrew Frock and Jeffrey T. Robbins and Francisco G. Vital-Lopez and Valmik Desai and Gheorghe Doros and Barry E. Sands and Arunkumar Prabhakaran and Christopher Nemeth and Gregory T. Rule and Jason L. Sperry and Francis X. Guyette and Stephen R. Wisniewski and Ernest E. Moore and Martin Schreiber and Bellal Joseph and Chad T. Wilson and Bryan Cotton and Daniel Ostermayer and Brian G. Harbrecht and Mayur B. Patel and Suzanne Tamang and Sanjay Malunjkar and David A. Spain and Andrew T. Reisner and Jonathan D. Stallings and Jaques Reifman},
  year = {2025},
  journal = {NEJM AI},
  doi = {10.1056/aics2401170},
  url = {https://doi.org/10.1056/aics2401170}
}

RIS

TY  - JOUR
TI  - A Case Study of AI-Enabled Software as a Medical Device Cleared by the FDA for Assessing Hemorrhage Risk Index (APPRAISE-HRI) after Trauma
AU  - Andrew Frock
AU  - Jeffrey T. Robbins
AU  - Francisco G. Vital-Lopez
AU  - Valmik Desai
AU  - Gheorghe Doros
AU  - Barry E. Sands
AU  - Arunkumar Prabhakaran
AU  - Christopher Nemeth
AU  - Gregory T. Rule
AU  - Jason L. Sperry
AU  - Francis X. Guyette
AU  - Stephen R. Wisniewski
AU  - Ernest E. Moore
AU  - Martin Schreiber
AU  - Bellal Joseph
AU  - Chad T. Wilson
AU  - Bryan Cotton
AU  - Daniel Ostermayer
AU  - Brian G. Harbrecht
AU  - Mayur B. Patel
AU  - Suzanne Tamang
AU  - Sanjay Malunjkar
AU  - David A. Spain
AU  - Andrew T. Reisner
AU  - Jonathan D. Stallings
AU  - Jaques Reifman
PY  - 2025
JO  - NEJM AI
DO  - 10.1056/aics2401170
UR  - https://doi.org/10.1056/aics2401170
ER  - 

APA

Frock, A., Robbins, J. T., Vital-Lopez, F. G., Desai, V., Doros, G., Sands, B. E., Prabhakaran, A., Nemeth, C., Rule, G. T., Sperry, J. L., Guyette, F. X., Wisniewski, S. R., Moore, E. E., Schreiber, M., Joseph, B., Wilson, C. T., Cotton, B., Ostermayer, D., Harbrecht, B. G., Patel, M. B., Tamang, S., Malunjkar, S., Spain, D. A., Reisner, A. T., Stallings, J. D., & Reifman, J. (2025). A Case Study of AI-Enabled Software as a Medical Device Cleared by the FDA for Assessing Hemorrhage Risk Index (APPRAISE-HRI) after Trauma. NEJM AI. https://doi.org/10.1056/aics2401170

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