Enhancing Pediatric Bone Age Assessment Using Artificial Intelligence: Implications for Orthopedic Surgery.

Background Bone age assessment is a critical tool in pediatric orthopedic surgery, guiding treatment decisions for growth-related disorders and surgical interventions. Traditional methods, such as the Greulich-Pyle and Tanner-Whitehouse techniques, rely on manual interpretation of hand and wrist radiographs, making them time-intensive and susceptible to inter-operator variability. Artificial intelligence (AI) has emerged as a promising tool to enhance accuracy, efficiency, and standardization in skeletal maturity assessment.

Robotic-assisted Bohlman's technique using SI-LOK implants for high-grade L5-S1 Spondylolisthesis: A case series of three patients.

Background: High-grade Isthmic Spondylolisthesis often requires surgical intervention for spinal realignment and decompression. This study describes a modified Bohlman procedure utilizing robotic-assisted navigation and a Globus SI-LOK interbody device.

Methods: A retrospective review was conducted on three patients who underwent the modified Bohlman procedure for high-grade spondylolisthesis at a single hospital between 2022 and 2023.