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Andrew Legarreta

Clinical Assistant Professor

University at Buffalo

United States

Research Interests

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Articles (20)

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2026

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Collaborators (2)

Andrea Franzini

IRCCS Humanitas Research Hospital

ITALY

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Georgios Mantziaris

University of Virginia

UNITED STATES

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Andrew Legarreta

Research Interests

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Articles (20)

A Signal Transducing Covalently Bound Peptide Coating for Titanium Spine Implants

Bicortical Lateral Plate Screw Placement Reduces Subsidence Risk in Patients Undergoing Lateral Lumbar Interbody Fusion

Cage Overhang Ratio and Increased Radiographic Subsidence in Stand-Alone Lateral Lumbar Interbody Fusion

Cervical Paraspinal Muscle Morphometry and Mechanical Failure: A Propensity-Matched Analysis

Impact of Multiple Operative Levels on Radiographic Subsidence in Stand-Alone Lateral Lumbar Interbody Fusion

Impact of lateral plate and screw fixation on long-term radiographic subsidence in lateral lumbar interbody fusion

Large language models in artificial intelligence to answer patient questions in spine surgery an evaluation of current evidence

Open-Source Machine Learning Computed Tomography Scan Segmentation for Spine Osteoporosis Diagnostics

Exploring Cage Subsidence Within the Lumbar Spine in LLIF Patients: A Machine Learning Segmentation Analysis

Number of Fused Levels is Inversely Associated With Long Term Radiographic Subsidence in Lateral Lumbar Interbody Fusion Without Posterior Instrumentation

Revision surgery for proximal junctional failure: A single-center analysis

Local control and survival after stereotactic radiosurgery for colorectal cancer brain metastases: an international multicenter analysis

A guide to selecting upper thoracic versus lower thoracic uppermost instrumented vertebra in adult spinal deformity correction

Anterior Thoracic Discectomy and Fusion for Symptomatic Ventral Bone Spur Associated Type I Cerebrospinal Fluid Leak: A Technical Report and Operative Video

Associating T1-Weighted and T2-Weighted Magnetic Resonance Imaging Radiomic Signatures With Preoperative Symptom Severity in Patients With Cervical Spondylotic Myelopathy

Bridging the Gap: Can Large Language Models Match Human Expertise in Writing Neurosurgical Operative Notes?

Machine Learning in Spine Surgery: A Narrative Review

Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures

Application of Machine Learning for Automatic Segmentation of Paraspinal Musculature

Hunt-Hess Score at 48 Hours Improves Prognostication in Grade 5 Aneurysmal Subarachnoid Hemorrhage

Collaborators (2)

Andrea Franzini

Georgios Mantziaris

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