Andrés Bur, MD

Andres M. Bur, MD, FACS is an Associate Professor of Otolaryngology - Head and Neck Surgery, Director of Robotic and Minimally Invasive Head and Neck Surgery at the University of Kansas.

Dr. Bur received his medical degree (2007-2011) and completed residency in Otolaryngology - Head and Neck Surgery (2011-2016) at the University of Pennsylvania in Philadelphia, PA. Following residency, he completed his fellowship in Head and Neck Surgical Oncology and Microvascular Reconstructive Surgery at Emory University in 2017.

Dr. Bur is board certified in Otolaryngology and holds membership in the American Academy of Otolaryngology - Head and Neck Surgery . He is a member of the Quality and Value and the Young Members Service of the American Head and Neck Society. His areas of clinical expertise include head and neck cancer surgery, transoral robotic surgery, microvascular head and neck reconstruction and thyroid surgery.

Dr. Bur is a Surgeon-Scientist whose research is focused on developing and evaluating evidence-based interventions and technologies to improve outcomes for patients with head and neck cancers. His research, which is funded through the National Cancer Institute, American Cancer Society and University of Kansas Research Institute, has been presented at national and international conferences. During his time at KU, Dr. Bur has built a highly productive research program to investigate the use of machine learning to predict clinical outcomes and head and neck oncology. He has been interviewed in ENT Today and invited to speak nationally on the topic of Artificial Intelligence in Otolaryngology. Dr. Bur is also the principal investigator of a trial of a multimodal nutritional intervention prior to major head and neck surgery and is the site investigator for a national trial of sentinel lymph node biopsy for early oral squamous cell carcinoma (NRG HN006).

Adjuvant radiotherapy for early head and neck squamous cell carcinoma with perineural invasion: A systematic review.

Anterior lateral thigh osteomyocutaneous free flap reconstruction in the head and neck: The anterolateral thigh osteomyocutaneous femur bone flap.

Artificial Intelligence for the Otolaryngologist: A State of the Art Review.

Association of Clinical Risk Factors and Postoperative Complications With Unplanned Hospital Readmission After Head and Neck Cancer Surgery.

Changes in head and neck oncologic practice during the COVID-19 pandemic.

Machine Learning to Predict Delays in Adjuvant Radiation following Surgery for Head and Neck Cancer.

Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.

Predicting salvage laryngectomy in patients treated with primary nonsurgical therapy for laryngeal squamous cell carcinoma using machine learning.

Transoral Robotic Surgery-Assisted Endoscopy With Primary Site Detection and Treatment in Occult Mucosal Primaries.

Use of free tissue transfer in head and neck cancer surgery and risk of overall and serious complication(s): An American College of Surgeons-National Surgical Quality Improvement Project analysis of free tissue transfer to the head and neck.

Automated detection and classification of laryngeal diseases using deep neural networks

Deep learning image classification to automate diagnosis of laryngeal pathology

Identifying the Molecular Determinants Associated with Early Failure in Early-Stage Larynx Cancer Following Definitive Radiotherapy

NRG HN006: Randomized Phase II/III Trial of Sentinel Lymph Node Biopsy Versus Elective Neck Dissection for Early-Stage Oral Cavity Cancer

Pre-operative nutritional intervention in head and neck cancer