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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693143 | PMC |
| http://dx.doi.org/10.1007/s13193-013-0211-5 | DOI Listing |
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Automated spinopelvic measurements on radiographs with artificial intelligence: a multi-reader study.
Radiol Med
January 2025
Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Purpose: To develop an artificial intelligence (AI) algorithm for automated measurements of spinopelvic parameters on lateral radiographs and compare its performance to multiple experienced radiologists and surgeons.
Methods: On lateral full-spine radiographs of 295 consecutive patients, a two-staged region-based convolutional neural network (R-CNN) was trained to detect anatomical landmarks and calculate thoracic kyphosis (TK), lumbar lordosis (LL), sacral slope (SS), and sagittal vertical axis (SVA). Performance was evaluated on 65 radiographs not used for training, which were measured independently by 6 readers (3 radiologists, 3 surgeons), and the median per measurement was set as the reference standard.
Reducing postoperative morbidity by diminishing chest tube drainage utilizing tranexamic acid following vertebral body tethering for adolescent idiopathic scoliosis.
Spine Deform
January 2025
Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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"Deviceless" Video-Assisted Thoracoscopic Lobectomy: Is It Feasible?
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Section of Thoracic Surgery, Hospital dom Luiz I, Sociedade Beneficente Portuguesa do Pará and Hospital Universitário Barros Barreto - Universidade Federal do Pará, Belém, Pará, Brazil.
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View Article and Find Full Text PDFMini Atrial Septal Defect Closure In Dextrocardia With Situs Inversus By Left Anterolateral Thoracotomy(Lalt) Approach - A Surgical Challenge.
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Department of Cardiovascular & Thoracic Surgery, U. N. Mehta Institute of Cardiology and Research Center, Civil Hospital Campus, Asarwa, Ahmedabad, Gujarat, India.
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