aceArtificial Intelligence Accurately Assists in Billing for Orthopaedic Lower Extremity Surgery: Performance of the Mistral-NeMo Language Model
Purpose To elucidate Mistral-NeMo's proficiency as a novel artificial intelligence assistant to verify coding accuracy and improve efficiency in manual medical coding practices in orthopaedic surgery. Methods This study tested Mistral-NeMo on 1000 operative notes labeled with the Current Procedural Terminology (CPT) codes from 177 providers. In total, there were 46 unique CPT codes; the most common were 29881 (knee arthroscopy with meniscectomy for both medial and lateral menisci), 29880 (knee arthroscopy with m…
Mistral-NeMo verified orthopaedic lower-extremity billing by correctly identifying 90% of true CPT codes and rejecting 99.8% of incorrect codes when provided with billing descriptions.
Mistral-NeMo's high CPT-code accuracy was observed only when billing descriptions were included in the prompt, leaving performance without them untested.
Performance depended on contextual information and was insignificant without billing descriptions, limiting use on operative notes alone.
Evidence
- Peer-reviewedArthroscopy2026-09-06
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Truvace Impact Record TRV-2026-1003, v2: “Artificial Intelligence Accurately Assists in Billing for Orthopaedic Lower Extremity Surgery: Performance of the Mistral-NeMo Language Model.” Truvace, 2026-10-26. /record/TRV-2026-1003 (accessed at citation time). sha256 e383f5240a6007a5…
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