查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Buenos Aires, A rgentina, by NewsRx editors, research stated, “Measuring spinal alignment with r adiological parameters is essential in patients with spinal conditions likely to be treated surgically. These evaluations are not usually included in the radiol ogical report.” Our news journalists obtained a quote from the research from Hospital Italiano d e Buenos Aires, “As a result, spinal surgeons commonly perform the measurement, which is time-consuming and subject to errors. We aim to develop a fully automat ed artificial intelligence (AI) tool to assist in measuring alignment parameters in whole-spine lateral radiograph (WSL X-rays). We developed a tool called Vert ebrai that automatically calculates the global spinal parameters (GSPs): Pelvic incidence, sacral slope, pelvic tilt, L1-L4 angle, L4-S1 lumbo-pelvic angle, T1 pelvic angle, sagittal vertical axis, cervical lordosis, C1-C2 lordosis, lumbar lordosis, mid-thoracic kyphosis, proximal thoracic kyphosis, global thoracic kyp hosis, T1 slope, C2-C7 plummet, spino-sacral angle, C7 tilt, global tilt, spinop elvic tilt, and hip odontoid axis. We assessed human-AI interaction instead of A I performance alone. We compared the time to measure GSP and inter-rater agreeme nt with and without AI assistance. Two institutional datasets were created with 2267 multilabel images for classification and 784 WSL X-rays with reference stan dard landmark labeled by spinal surgeons. Vertebrai significantly reduced the me asurement time comparing spine surgeons with AI assistance and the AI algorithm alone, without human intervention (3 minutes vs. 0.26 minutes; P<0.05). Vertebrai achieved an average accuracy of 83% in detecting abnormal alignment values, with the sacral slope parameter exhibiting the lowes t accuracy at 61.5% and spinopelvic tilt demonstrating the highest accuracy at 100%. Intraclass correlation analysis revealed a high level of correlation and consistency in the global alignment parameters.”
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