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Dr. Andrew D. Legarreta

Andrew D. Legarreta

, MD

Dr. Andrew D. Legarreta is a minimally invasive and complex spine surgeon at UBNS and a Clinical Assistant Professor of Neurosurgery at the Jacobs School of Medicine and Biomedical Sciences. He has an academic and clinical focus on integrating machine learning diagnostics and intraoperative digital health technologies to optimize care for spinal patients. His additional surgical interests include sports medicine and neurotrauma.

After earning his Doctor of Medicine from Vanderbilt University School of Medicine, Dr. Legarreta joined the University of Pittsburgh Department of Neurological Surgery for his residency. He also completed Sports Medicine, enfolded complex, and minimally invasive spine fellowships at UPMC, as well as an AO Spine fellowship. The  AO Spine Fellowship Program provides elite, specialized training for neurosurgeons and orthopedic surgeons through a global network of renowned centers, fostering advanced surgical expertise and long-term professional collaboration.

Dr. Legarreta has established a robust national research footprint in clinical outcomes and medical AI. He has co-authored more than 20 peer-reviewed publications and over 35 scientific abstracts and presentations. His work specializes in automated radiographic segmentation of the spine, predictive modeling for surgical diagnostics, and the cost-effectiveness of advanced neurosurgical procedures.  

Dr. Legarreta sees patients at our Comprehensive Neuroscience Center and performs surgeries at Kaleida Health, Atlas Surgery Center, and Catholic Health.

Dr. Legarreta is a native of Buffalo, NY.

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Clinical Assistant Professor of Neurosurgery

Jacobs School of Medicine and Biomedical Sciences

Minimally Invasive and Complex Spine Surgeon

UBNS (University at Buffalo Neurosurgery)

Principal Investigator, Neurosurgical AI & Predictive Analytics

Comprehensive Neuroscience Center

40 George Karl Blvd.
Suite 100
Williamsville, NY 14221

Phone: 716.218.1000

Fax: 716.626.1908; 716.626.1491; 716-633-2679;

Erie County Medical Center

462 Grider Street
Buffalo, NY 14215

Phone: 716-898-6300

Fax: 716-898-4810

Atlas Surgery Center

50 George Karl Blvd,
Williamsville, NY 14221

Phone: 716.650.0905

Buffalo General Medical Center

100 High Street
Buffalo, NY 14203

Phone: 716.859.5600

Education

Medical School
Vanderbilt University School of Medicine

Residency
Neurological Surgery: University of Pittsburgh Medical Center (UPMC) Department of Neurological Surgery

Fellowships
AO Spine: UPMC Department of Neurological Surgery

Enfolded Complex and Minimally Invasive Spine Surgery: UPMC Department of Neurological Surgery

Sports Medicine: UPMC Department of Neurological Surgery

Research: Bascom Palmer Eye Institute

 

Social Media

Clinical Expertise & Surgical Interests

Complex & Minimally Invasive Spine Surgery: Specialized training in stand-alone and instrumented lateral lumbar interbody fusion (LLIF), anterior lumbar interbody fusion (ALIF), posterior cervical decompression and fusion, correction of adult spinal deformity, and revision surgery for proximal junctional failure.  

Medical AI & Diagnostic Infrastructure: Advanced implementation of machine learning models for automated spine X-ray, CT, and MRI segmentation, open-source osteoporosis diagnostics via Hounsfield Unit modeling, and evaluating natural language processing systems for clinical utility.  

Sports Medicine & Neuro-Trauma: Specialized management of sport-related concussions, structural athletic brain injuries, and acute on-field assessments. 

Notable Research Grants & Academic Highlights

Dr. Legarreta’s research bridging surgical mechanics with computational software has been backed by competitive institutional and foundational grant funding:

  • UPMC Mercy Medical Staff Grant ($15,000): Co-Investigator. Advancing Long Segment Spinal Fusion Precision: Harnessing Segmentation Software and Augmented Reality to Optimize Pre-Operative Planning and Intraoperative Rod Bending (2024–2025).  
  • Walter L. Copeland Fund of the Pittsburgh Foundation ($9,000): Co-Investigator. Technical Infrastructure for Custom Electronic Medical Record Applications and Development of a Novel Large Language Learning Model for Neurosurgery (2023–2024)

Dr. Andrew D. Legarreta Publications

Publications | July 22, 2026

Bicortical lateral plate screw placement reduces subsidence risk in patients undergoing lateral lumbar interbody fusion.

Wakelin SH, Schulien A, Carnovale BJ, McCarthy DJ, Legarreta AD, Deng H, Hudson JS, Zeeshan Q, Miele VJ, Hamilton DK, Agarwal N. Bicortical Lateral Plate Screw Placement Reduces Subsidence Risk in Patients Undergoing Lateral Lumbar Interbody Fusion. World Neurosurg. 2026 May 18;212:125054. doi: 10.1016/j.wneu.2026.125054. Epub ahead of print. PMID: 42155702. Free article: https://read.qxmd.com/read/42155702/bicortical-lateral-plate-screw-placement-reduces-subsidence-risk-in-patients-undergoing-lateral-lumbar-interbody-fusion

Publications | July 22, 2026

Machine Learning in Spine Surgery: A Narrative Review

Adida S, Legarreta AD, Hudson JS, McCarthy D, Andrews E, Shanahan R, Taori S, Lavadi RS, Buell TJ, Hamilton DK, Agarwal N, Gerszten PC. Machine Learning in Spine Surgery: A Narrative Review. Neurosurgery. 2024 Jan 1;94(1):53-64. doi: 10.1227/neu.0000000000002660. Epub 2023 Sep 18. PMID: 37930259. Free article: https://pubmed.ncbi.nlm.nih.gov/37930259/

Publications | July 22, 2026

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

Ali A, Kumar RP, Polavarapu H, Lavadi RS, Mahavadi A, Legarreta AD, Hudson JS, Shah M, Paul D, Mooney J, Dietz N, Fields DP, Hamilton DK, Agarwal N. Bridging the Gap: Can Large Language Models Match Human Expertise in Writing Neurosurgical Operative Notes? World Neurosurg. 2024 Dec;192:e34-e41. doi: 10.1016/j.wneu.2024.08.062. Epub 2024 Aug 15. PMID: 39153569. Free article: https://pubmed.ncbi.nlm.nih.gov/39153569/

Publications | July 22, 2026

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

Sankar A, Kann MR, Adida S, Bhatia S, Shanahan RM, Colan JA, Hurt G, Sharma N, Kass NM, Hudson JS, Agarwal N, Gerszten PC, Biehl JT, Legarreta A, Andrews EG, McCarthy DJ. Open-Source Machine Learning Computed Tomography Scan Segmentation for Spine Osteoporosis Diagnostics. Neurosurgery. 2026 Feb 5. doi: 10.1227/neu.0000000000003928. Epub ahead of print. PMID: 41641987. Free article: https://pubmed.ncbi.nlm.nih.gov/41641987/