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AI and machine learning in paediatric spine deformity surgery

Year: 2025

Type: article

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.

Source: Bone & Joint Open

DOI: 10.1302/2633-1462.65.bjo-2024-0089.r1

Authors: Mohsin Khan, Kaustubh Ahuja, Athanasios I Tsirikos

Language: English

Topic: Scoliosis diagnosis and treatment

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $981

OpenAlex ID: W4410695897

FWCI: 1.73

Cites: 191

Cited by: 2

Related to: 10