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Overview of Artificial Intelligence Research Within Hip and Knee Arthroplasty.
Mickley, John P; Kaji, Elizabeth S; Khosravi, Bardia; Mulford, Kellen L; Taunton, Michael J; Wyles, Cody C.
Affiliation
  • Mickley JP; Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Kaji ES; Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Khosravi B; Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Mulford KL; Radiology Informatics Lab (RIL), Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Taunton MJ; Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Wyles CC; Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
Arthroplast Today ; 27: 101396, 2024 Jun.
Article in En | MEDLINE | ID: mdl-39071822
ABSTRACT
Hip and knee arthroplasty are high-volume procedures undergoing rapid growth. The large volume of procedures generates a vast amount of data available for next-generation analytics. Techniques in the field of artificial intelligence (AI) can assist in large-scale pattern recognition and lead to clinical insights. AI methodologies have become more prevalent in orthopaedic research. This review will first describe an overview of AI in the medical field, followed by a description of the 3 arthroplasty research areas in which AI is commonly used (risk modeling, automated radiographic measurements, arthroplasty registry construction). Finally, we will discuss the next frontier of AI research focusing on model deployment and uncertainty quantification.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Arthroplast Today Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Arthroplast Today Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States