We're moving closer to using 3D imaging to personalize operative vs nonoperative decisions for patients. 🏥🩹
Very grateful to collaborate with an amaing team including @aagatti.bsky.social, the JUPITER Study Group, Scott Delp, and Seth Sherman!
3D > 2D for patellar instability 🦵
Our new study in OJSM introduces 3D-PASS, a score that describes patellar instability severity using 3D anatomical data and is capable of predicting patient outcomes
Higher 3D-PASS <> worse predicted outcomes
🔗 doi.org/10.1177/2325...
@aossmjournals.bsky.social
Watch the @mobilizecenter.bsky.social/Restore Center webinar with @aclouthier.bsky.social and Erin Lee entitled “Integrating Bone and Joint Geometry into Musculoskeletal Models”
Research presentation: youtu.be/QtqDx3_uK9I
Tutorial: youtu.be/wqxQl3Dm9lc
I can't* fathom why the top picture, and not the bottom picture, is the standard diagram for an autoencoder.
The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?