Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications
Artificial intelligence and machine-learning analytics have gained extensive popularity in recent years due to their clinically relevant applications. A wide range of proof-of-concept studies have demonstrated the ability of these analyses to personalize risk prediction, detect implant specifics fro...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
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The British Editorial Society of Bone & Joint Surgery
2022-01-01
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| 丛编: | Bone & Joint Open |
| 主题: | |
| 在线阅读: | https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.31.BJO-2021-0123.R1 |
| _version_ | 1828867025064165376 |
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| author | Kyle N. Kunze Melissa Orr Viktor Krebs Mohit Bhandari Nicolas S. Piuzzi |
| author_facet | Kyle N. Kunze Melissa Orr Viktor Krebs Mohit Bhandari Nicolas S. Piuzzi |
| author_sort | Kyle N. Kunze |
| collection | DOAJ |
| description | Artificial intelligence and machine-learning analytics have gained extensive popularity in recent years due to their clinically relevant applications. A wide range of proof-of-concept studies have demonstrated the ability of these analyses to personalize risk prediction, detect implant specifics from imaging, and monitor and assess patient movement and recovery. Though these applications are exciting and could potentially influence practice, it is imperative to understand when these analyses are indicated and where the data are derived from, prior to investing resources and confidence into the results and conclusions. In this article, we review the current benefits and potential limitations of machine-learning for the orthopaedic surgeon with a specific emphasis on data quality. |
| first_indexed | 2024-12-13T05:02:58Z |
| format | Article |
| id | doaj.art-b8c55f13e02f43a59d0b498bf2cdbb2a |
| institution | Directory Open Access Journal |
| issn | 2633-1462 |
| language | English |
| last_indexed | 2024-12-13T05:02:58Z |
| publishDate | 2022-01-01 |
| publisher | The British Editorial Society of Bone & Joint Surgery |
| record_format | Article |
| series | Bone & Joint Open |
| spelling | doaj.art-b8c55f13e02f43a59d0b498bf2cdbb2a2022-12-21T23:58:44ZengThe British Editorial Society of Bone & Joint SurgeryBone & Joint Open2633-14622022-01-0131939710.1302/2633-1462.31.BJO-2021-0123.R1Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indicationsKyle N. Kunze0Melissa Orr1Viktor Krebs2Mohit Bhandari3Nicolas S. Piuzzi4Department of Orthopedic Surgery, Hospital for Special Surgery, New York, New York, USADepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio, USADepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio, USADepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, CanadaDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio, USAArtificial intelligence and machine-learning analytics have gained extensive popularity in recent years due to their clinically relevant applications. A wide range of proof-of-concept studies have demonstrated the ability of these analyses to personalize risk prediction, detect implant specifics from imaging, and monitor and assess patient movement and recovery. Though these applications are exciting and could potentially influence practice, it is imperative to understand when these analyses are indicated and where the data are derived from, prior to investing resources and confidence into the results and conclusions. In this article, we review the current benefits and potential limitations of machine-learning for the orthopaedic surgeon with a specific emphasis on data quality.https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.31.BJO-2021-0123.R1artificial intelligencemachine-learningdata managementpredictive modellingorthopedicsorthopaedic surgeryorthopaedic surgeonclinicianstotal joint replacementtotal knee arthroplasty (tka)total hip arthroplastypreoperative ct scanscognitive functionarthroplastyanterior cruciate ligament (acl) tears |
| spellingShingle | Kyle N. Kunze Melissa Orr Viktor Krebs Mohit Bhandari Nicolas S. Piuzzi Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications Bone & Joint Open artificial intelligence machine-learning data management predictive modelling orthopedics orthopaedic surgery orthopaedic surgeon clinicians total joint replacement total knee arthroplasty (tka) total hip arthroplasty preoperative ct scans cognitive function arthroplasty anterior cruciate ligament (acl) tears |
| title | Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications |
| title_full | Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications |
| title_fullStr | Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications |
| title_full_unstemmed | Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications |
| title_short | Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications |
| title_sort | potential benefits unintended consequences and future roles of artificial intelligence in orthopaedic surgery research a call to emphasize data quality and indications |
| topic | artificial intelligence machine-learning data management predictive modelling orthopedics orthopaedic surgery orthopaedic surgeon clinicians total joint replacement total knee arthroplasty (tka) total hip arthroplasty preoperative ct scans cognitive function arthroplasty anterior cruciate ligament (acl) tears |
| url | https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.31.BJO-2021-0123.R1 |
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