Assessing Retrieval-Augmented Large Language Models for Medical Coding.
- DOI
- 10.1056/aics2401161
- Published
- 2025 Oct
- Container
- NEJM AI
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1056/aics2401161,
title = {Assessing Retrieval-Augmented Large Language Models for Medical Coding.},
author = {Klang E and Tessler I and Apakama DU and Abbott E and Glicksberg BS and Arnold M and Moses A and Sakhuja A and Soroush A and Charney AW and Reich DL and McGreevy J and Gavin N and Carr B and Freeman R and Nadkarni GN},
year = {2025},
journal = {NEJM AI},
doi = {10.1056/aics2401161},
url = {https://doi.org/10.1056/aics2401161}
}RIS
TY - JOUR TI - Assessing Retrieval-Augmented Large Language Models for Medical Coding. AU - Klang E AU - Tessler I AU - Apakama DU AU - Abbott E AU - Glicksberg BS AU - Arnold M AU - Moses A AU - Sakhuja A AU - Soroush A AU - Charney AW AU - Reich DL AU - McGreevy J AU - Gavin N AU - Carr B AU - Freeman R AU - Nadkarni GN PY - 2025 JO - NEJM AI DO - 10.1056/aics2401161 UR - https://doi.org/10.1056/aics2401161 ER -
APA
E, K., I, T., DU, A., E, A., BS, G., M, A., A, M., A, S., A, S., AW, C., DL, R., J, M., N, G., B, C., R, F., & GN, N. (2025). Assessing Retrieval-Augmented Large Language Models for Medical Coding.. NEJM AI. https://doi.org/10.1056/aics2401161
Source records
- pubmed · retrieved 2026-11-10T14:30:23.777Z