Markus Bookland, MD, FAANS is a board-certified pediatric neurosurgeon and an assistant professor of surgery at Connecticut Children’s and the University of Connecticut School of Medicine. He graduated from the Johns Hopkins School of Medicine and completed his neurosurgical residency training at Temple University Hospital. He then pursued a fellowship in pediatric neurosurgery at Children’s Healthcare of Atlanta and Emory University School of Medicine, where he developed his expertise in treating complex pediatric neurosurgical conditions such as brain tumors, epilepsy, hydrocephalus, craniosynostosis, spina bifida, and Chiari malformation. He is also a research leader in applying artificial intelligence and image processing techniques to improve the diagnosis and treatment of pediatric neurosurgical diseases. He has published over 40 peer-reviewed articles and book chapters and has received several awards and grants for his innovative research in the fields of craniosynostosis detection and outcomes, as well as pediatric brain tumor detection. He is a fellow of the American Association of Neurological Surgeons and a member of the American Society of Pediatric Neurosurgeons, and the Congress of Neurological Surgeons. He is dedicated to providing compassionate and comprehensive care to his patients and their families, while creating new technologies that allow state-of-the-art care to reach more patients in more communities.
BS, Iowa State University, 2001
MD, Johns Hopkins, 2006
Residency: General Surgery, Johns Hopkins, 2006-2007
Neurosurgery, Temple University Hospital, 2007-2013
Pediatric Neurosurgery Fellowship:
Children’s Healthcare of Atlanta/Emory University School of Medicine, 2013-2014
American Board of Neurological Surgeons
American Board of Pediatric Neurological Surgeons
Assistant Professor of Surgery, University of Connecticut School of Medicine
“The Connecticut Children’s craniofacial research group is committed to advancing the field of craniofacial medicine and providing the best possible care for children with craniosynostosis and related craniofacial disorders.
Our research team is dedicated to improving the diagnosis and treatment of children with craniosynostosis, focusing on mobile technologies that facilitate telemedicine encounters, AI-driven and radiation-less diagnostic systems, and computational modeling of existing and novel surgical techniques for the treatment of children with craniosynostosis. We collaborate with experts across the United States and the United Kingdom with the goal of improving craniosynostosis care for all children.”
Leclair NK, Chern J, Ahn ES, Chamis M, Paro MR, Lambert WA, Stoltz P, Hersh DS, Martin JE, Bookland MJ. Clinical metrics and tools for provider assessment and tracking of trigonocephaly. J Neurosurg Pediatr. 2023 Apr 7:1-9. doi: 10.3171/2023.2.PEDS22511. Epub ahead of print. PMID: 37029682.
Paro MR, Lambert W, Leclair NK, Stoltz P, Martin JE, Hersh DS, Bookland MJ. Telemedicine in Neurosurgery and Artificial Intelligence Applications. World Neurosurg. 2022 Jul;163:83-84. doi: 10.1016/j.wneu.2022.04.078. Epub 2022 Apr 21. PMID: 35588640; PMCID: PMC9084592.
Paro M, Lambert WA, Leclair NK, Romano R, Stoltz P, Martin JE, Hersh DS, Bookland MJ. Machine Learning-Driven Clinical Image Analysis to Identify Craniosynostosis: A Pilot Study of Telemedicine and Clinic Patients. Neurosurgery. 2022 May 1;90(5):613-618. doi: 10.1227/neu.0000000000001890. PMID: 35262516.
Bookland MJ, Ahn ES, Stoltz P, Martin JE. Image processing and machine learning for telehealth craniosynostosis screening in newborns. J Neurosurg Pediatr. 2021 Mar 19;27(5):581-588. doi: 10.3171/2020.9.PEDS20605. PMID: 33740758.