Robin K Ovitsh, Shanu Gupta, Anita Kusnoor, Jennifer M Jackson, Danielle Roussel, Christopher J Mooney, Roshini Pinto-Powell, Joel L Appel, Rahul Mhaskar, Jonathan Gold
Minding the gap: towards a shared clinical reasoning lexicon across the pre-clerkship/clerkship transition
Medical education online
hyperfluorescence hf reduced autofluorescence ra important biomarkers fundus autofluorescence images faf assessment health retinal pigment epithelium rpe important indicator disease progression geographic atrophy ga central serous chorioretinopathy cscr autofluorescence images annotated human raters distinguishing biomarkers whether signals increased decreased normal background proves challenging borders particularly open interpretation consequently significant variations emerge among different graders even within grader repeated annotations tests inhouse faf data show even highly skilled medical experts despite previously discussing settling precise annotation guidelines reach pairwise agreement measured dice score 6380 hf segmentations 1452 ra data show agreement primary annotation expert 72 dice score hf 51 ra given numbers task automated hf ra segmentation cannot simply refined improvement segmentation score instead propose use segmentation ensemble learning images single annotation ensemble reaches expertlike performance agreement 6481 dice score hf 2141 ra experts addition utilizing mean predictions ensemble networks variance devise ternary segmentations faf image areas labeled either confident background confident hf potential hf ensuring predictions reliable confident 97 precision detecting instances hf 99 recall annotated experts