AI and machine learning in paediatric spine deformity surgery

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have exceptional anatomical knowledge and precise visuospatial awareness. There is increasing demand for precision medicine, which rapid advancements in computational technologies have made possible with the recent explosion of AI and machine learning (ML). We present the surgical and ethical applications of AI and ML in diagnosis, prognosis, image processing, and outcomes in the field of paediatric spine deformity.

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Publication Details

Journal
Bone & Joint Open
Published
2025-05-23
DOI
https://doi.org/10.1302/2633-1462.65.bjo-2024-0089.r1
Citations
1
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.67
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article

AI and machine learning in paediatric spine deformity surgery

Mohsin Khan, Kaustubh Ahuja, Athanasios I. Tsirikos
1 citations
Bone & Joint Open
Medical Imaging and Analysis
0.67
article

AI and machine learning in paediatric spine deformity surgery

Mohsin Khan, Kaustubh Ahuja, Athanasios I. Tsirikos
article en
1 citations

Abstract

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have exceptional anatomical knowledge and precise visuospatial awareness. There is increasing demand for precision medicine, which rapid advancements in computational technologies have made possible with the recent explosion of AI and machine learning (ML). We present the surgical and ethical applications of AI and ML in diagnosis, prognosis, image processing, and outcomes in the field of paediatric spine deformity.

Bone & Joint OpenVol. 6(5)
Royal Hospital for Children (GB)
Openalex Percentile: Top 31%
Medical Imaging and Analysis
0.67
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