A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest?
Saved in:
| Title: | A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest? |
|---|---|
| Authors: | Heiting C; From the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY (Heiting), Weill Cornell Medicine, New York, NY (Wu, Goodman, Wang, and Mehta), Hospital for Special Surgery, New York, NY (Goodman, Sculco, and Mehta), Sidney Kimmel Medical College, Philadelphia, PA (Ibrahim), University of Maryland School of Medicine, Baltimore, MD (Cram), and Intelligible Inc., Redmond, WA (Caruana)., Wu Y, Goodman SM, Sculco P, Wang F, Ibrahim S, Cram P, Caruana R, Mehta B |
| Source: | The Journal of the American Academy of Orthopaedic Surgeons [J Am Acad Orthop Surg] 2026 Jun 03. Date of Electronic Publication: 2026 Jun 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wolters Kluwer Country of Publication: United States NLM ID: 9417468 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1940-5480 (Electronic) Linking ISSN: 1067151X NLM ISO Abbreviation: J Am Acad Orthop Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1940-5480 |
|---|---|
| DOI: | 10.5435/JAAOS-D-25-01248 |
