Robert W. Jyung

About

Dr. Robert W. Jyung is the Director of Otology & Neurotology at Rutgers New Jersey Medical School in Newark and is certified by the American Board of Otolaryngology. He received his B.S. and M.D. degrees from the University of Michigan in Ann Arbor and completed his residency in otolaryngology at Washington University in St. Louis. Following his residency, he completed a two-year fellowship in otology/neurotology at the Massachusetts Eye and Ear Infirmary. He served as the director of otology/neurotology at Temple University Hospital in Philadelphia for four years and then worked as a full-time academic otologist for three years at the Massachusetts Eye and Ear Infirmary, a teaching hospital for Harvard Medical School. Dr. Jyung has extensive experience in all aspects of temporal bone surgery, with a focus on cochlear implants, chronic ear disease, and skull base tumors. His research interests include the role of squamous epithelial migration in the pathogenesis of cholesteatomas.

Research topics

• Emergency medicine
• Internal medicine
• Medicine
• Surgery

Selected publications

• Direct manipulation is better than passive viewing for learning anatomy in a three-dimensional virtual reality environment

  Computers & Education · 2016-12-19 · 310 citations

  article
  PublisherDOI

• Superior semicircular canal dehiscence: Diagnosis and management

  Journal of Clinical Neuroscience · 2017-12-07 · 72 citations

  review
  PublisherDOI

• Association of Patient Frailty With Vestibular Schwannoma Resection Outcomes and Machine Learning Development of a Vestibular Schwannoma Risk Stratification Score

  Neurosurgery · 2022 · 21 citations

  BACKGROUND: Patient frailty is predictive of higher neurosurgical morbidity and mortality. However, existing frailty measures are hindered by lack of specificity to neurosurgery. OBJECTIVE: To analyze the association between 3 risk stratification scores and outcomes for nationwide vestibular schwannoma (VS) resection admissions and develop a custom VS risk stratification score. METHODS: We identified all VS resection admissions in the National Inpatient Sample (2002-2017). Three risk stratificat…

  PublisherDOI

• Tuberculosis of the middle ear: A systematic review

  American Journal of Otolaryngology · 2022-08-05 · 19 citations

  reviewOpen access
  PublisherOA PDFDOI

• Use of artificial intelligence for the diagnosis of cholesteatoma

  Laryngoscope Investigative Otolaryngology · 2023-01-17 · 16 citations

  articleOpen accessSenior authorCorresponding

  Objectives: Accurate diagnosis of cholesteatomas is crucial. However, cholesteatomas can easily be missed in routine otoscopic exams. Convolutional neural networks (CNNs) have performed well in medical image classification, so we evaluated their use for detecting cholesteatomas in otoscopic images. Study Design: Design and evaluation of artificial intelligence driven workflow for cholesteatoma diagnosis. Methods: Otoscopic images collected from the faculty practice of the senior author were deid…

  PublisherOA PDFDOI

Frequent coauthors

• James K. Liu

  Rutgers, The State University of New Jersey

  119 shared

• Danielle M. Blake

  Institut de Virologie

  64 shared

• James K. Liu

  Rutgers New Jersey Medical School

  49 shared

• Alejandro Vázquez

  University of Tennessee at Knoxville

  46 shared

• Jean Anderson Eloy

  Neurological Surgery

  45 shared

• Christina H. Fang

  Montefiore Medical Center

  41 shared

• Yu‐Lan Mary Ying

  Saint Barnabas Medical Center

  37 shared

• Kevin Zhao

  AbbVie (United States)

  36 shared

Education

• M.D.

  University of Michigan, Ann Arbor Michigan

  1989

• B.S.

  University of Michigan Inteflex Program

  1985

Similar researchers at Rutgers University

• Soly Baredesh-58
• Boris Paskhoverh-25
• Evelyne Kalyoussefh-25