# The Viability of an Artificial Intelligence/Machine Learning Prediction Model to Determine Candidates for Knee Arthroplasty

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-viability-of-an-artificial-intelligence-machine-learning-prediction-model-to/

## Facts

| Field | Value |
| --- | --- |
| Author Names | David J. Houserman,Keith R. Berend,Adolph V. Lombardi,Chanel Fischetti,Erik Duhaime,Anant Jain,David A. Crawford |
| Citations | 34 |
| DOI | 10.1016/j.arth.2022.04.003 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4223499313 |
| PMID | 35398523 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Chanel Fischetti](https://scholariq.org/researchers/chanel-fischetti/)

## Paper journal

- [The Journal of Arthroplasty](https://scholariq.org/journals/the-journal-of-arthroplasty/)

## Paper primary topic

- [Total Knee Arthroplasty Outcomes](https://scholariq.org/topics/total-knee-arthroplasty-outcomes/)

## Paper topics

- [Total Knee Arthroplasty Outcomes](https://scholariq.org/topics/total-knee-arthroplasty-outcomes/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Knee injuries and reconstruction techniques](https://scholariq.org/topics/knee-injuries-and-reconstruction-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.