Stephanie Merimee, Ashley Ali, Katheryne Downes, Joanna Mullins, Mir Ibrahim Sajid, Hassan Mir
Lost in the Shuffle: Low Health Literacy in Geriatric Fracture Patients and Families Regarding Post-Acute Care-A Prospective Study
Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
analyzing anatomic shapes tissues organs pivotal accurate disease diagnostics clinical decisionmaking one prominent disease depends anatomic shape analysis osteoarthritis affects 30 million americans advance osteoarthritis diagnostics prognostics introduce shapemedknee 3d shape dataset 9376 highresolution medicalimagingbased 3d shapes femur bone cartilage besides data shapemedknee includes two benchmarks assessing reconstruction accuracy five clinical prediction tasks assess utility learned shape representations leveraging shapemedknee develop evaluate novel hybrid explicitimplicit neural shape model achieves 40 better reconstruction accuracy statistical shape model implicit neural shape model hybrid models achieve stateoftheart performance preserving cartilage biomarkers theyre also first models successfully predict localized structural features osteoarthritis outperforming shape models convolutional neural networks applied raw magnetic resonance images segmentations shapemedknee dataset provides medical evaluations reconstruct multiple anatomic surfaces embed meaningful diseasespecific information shapemedknee reduces barriers applying 3d modeling medicine benchmarks highlight advancements 3d modeling enhance diagnosis risk stratification complex diseases dataset code benchmarks made freely accessible