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Research Fellow at Spine Research Center
Ask questions about Frank A. Segreto's research, publications, and ongoing work
Developed a predictive model to identify patients at risk of developing distal junctional kyphosis following cervical deformity surgery, aiding in pre-operative planning and surgical decision-making.
Identified predictors of adverse discharge disposition and associated costs in adult spinal deformity patients, contributing to improved resource allocation and patient care pathways.
Examined the influence of comorbid mental health disorders on complications following adult spinal deformity surgery, highlighting the importance of addressing mental health in surgical planning and patient management.
Analyzed predictors of hospital length of stay and 30-day readmission rates in patients with cervical spondylotic myelopathy, providing insights for optimizing hospital resource utilization and reducing readmissions.
Assessed the impact of mental health disorders on complications following cervical spine surgery, emphasizing the need for comprehensive patient assessment and management strategies.
Developed a novel index to quantify the invasiveness of cervical deformity surgery, which can be used to standardize surgical approaches and compare outcomes.
Investigated the correlation between improvements in myelopathy and sagittal realignment following cervical deformity surgery, providing insights into the relationship between surgical correction and clinical outcomes.
Dr. Frank A. Segreto is a Research Fellow specializing in spinal disorders, with a focus on surgical outcomes and the impact of mental health on patient recovery. His research leverages data analytics to improve patient care and predict surgical outcomes.
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