Multimodal Deep Learning-based Radiomics Approach for Predicting Surgical Outcomes in Patients with Cervical Ossification of the Posterior Longitudinal Ligament | Synapse

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A study on the predictive value of preoperative MRI-based radiomics for postoperative neurological function in patients with ossification of the posterior longitudinal ligamentCohort Study · 2026
2Three-Dimensional Radiomics and Machine Learning for Predicting Postoperative Outcomes in Laminoplasty for Cervical Spondylotic Myelopathy: A Clinical-Radiomics Model.2025 · 3 citations
3Multi-Scale MRI, Radiology Reports, and Blood Biomarker–Guided Multimodal Deep Learning for Predicting Postoperative Recurrence in Cervical Cancer: A Multicenter StudyRetrospective Study · 2026
4Multiparametric MRI–based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical CancerRetrospective Study · 2026 · 1 citations
5Cone-beam computed tomography radiomics for differentiating clinicoradiologic labels of osteosclerosis, cemento-osseous dysplasia and odontoma: an internal model-development studyOriginal Research · 2026

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