Artificial intelligence for predicting 30-day mortality after surgery for femoral shaft fractures: A retrospective study
This study is the first to internally validate an AI-driven model for predicting mortality within 30 days of surgery in an isolated population of femoral shaft fracture patients, demonstrating good performance. Further research is needed to develop an excellent-performing, AI-driven model that is externally validated prior to clinical translation to support anaesthesiologists and orthopaedic surgeons in perioperative risk stratification and patient education.
Authors
- Rameshbabu Manyam (ORCID: https://orcid.org/0000-0003-0602-9632)
- Kunj Patel (ORCID: https://orcid.org/0000-0002-1718-5879)
- Eric Heinz (ORCID: https://orcid.org/0000-0002-3194-8553)
- Puneet Gupta (ORCID: https://orcid.org/0000-0001-8274-6970)
- Rui Guo
- Hong-Jui Shen
Institutions
- Emory University (US)
- George Washington University (US)
Publication Details
- Journal
- Indian Journal of Anaesthesia
- Published
- 2025-05-14
- DOI
- https://doi.org/10.4103/ija.ija_1060_24
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93