Paula E Jayne, Leigh E Szucs, Catherine A Lesesne, Rose Grace Grose, Michelle M Johns
"I wouldn't have felt so alone": The sexual health education experiences of transgender and gender diverse youth living in the southeastern United States
Perspectives on sexual and reproductive health
amblyopia neurodevelopmental visual disorder affects approximately 35 children globally lead vision loss diagnosed treated early traditional diagnostic methods rely subjective assessments expert interpretation eye movement recordings presents challenges resourcelimited eye care centers study introduces new approach integrates gemini large language model llm eyetracking data develop classification tool diagnosis patients amblyopia study demonstrates 1 llms successfully applied analysis fixation eye movement data diagnose patients amblyopia 2 input medical subject matter expertise introduced study form medical expert augmented generation meag effective adaption generic retrieval augmented generation rag approach medical applications using llms study introduces new multiview prompting framework ophthalmology applications incorporates fine granularity feedback pediatric ophthalmologist together incontext learning report accuracy 80 diagnosing patients amblyopia addition binary classification task classification tool generalizable specific subpopulations amblyopic patients based severity amblyopia type amblyopia without nystagmus model reports accuracy 1 83 classifying patients moderate severe amblyopia 2 81 classifying patients mild treated amblyopia 3 85 accuracy classifying patients nystagmus best knowledge first study defines multiview prompting framework meag analyze eye tracking data diagnosis amblyopic patients