Artificial Intelligence to Guide Treatment of Pediatric Orbital Abscess | NYU Langone Health

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Department of Ophthalmology Research Artificial Intelligence to Guide Treatment of Pediatric Orbital Abscess

Artificial Intelligence to Guide Treatment of Pediatric Orbital Abscess

Roxana Fu, MD, chief of the Oculoplastics service at NYU Langone's Department of Ophthalmology, investigates the use of artificial intelligence to refine the surgical indications for orbital diseases. Her multisite, multidisciplinary team includes oculoplastic surgeons, radiologists, computer scientists, and biostatisticians that analyze orbital imagining and clinical data to predict treatment outcomes.

The team has investigated radiographic metrics associated with the need for surgery in pediatric patients with orbital abscess, a potentially life-threatening and blinding condition with delayed treatment. In addition to being the first to automate orbital abscess measurement, their team was the first to develop and use automated volumetric proptosis, a potential novel indication for orbital abscess drainage. Their research is funded by the National Eye Institute of the National Institutes of Health.