A Case Study of AI-Enabled Software as a Medical Device Cleared by the FDA for Assessing Hemorrhage Risk Index (APPRAISE-HRI) after Trauma
- DOI
- 10.1056/aics2401170
- Published
- 2025-10-23
- Container
- NEJM AI
- Publisher
- Massachusetts Medical Society
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
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
Source records
- crossref · retrieved 2026-09-25T00:04:02.205Z