Focal Weakening/Thinnest Corneal Point Proximity in Normal, Subclinical, and Keratoconic Corneas Using Motion-Tracking Brillouin Microscopy
https://t.co/YSY1bstMIi
From CLMI.X to CLMIX-AI: A Machine Learning-Based Upgrade of the Cone Location and Magnitude Index Expanded to Detect Keratoconus Suspects
https://t.co/JS7llsQCWB
@BasselHammoudMD#ophthalmology
Can early Keratoconus be diagnosed purely based on pachymetry maps? The answer is yes!
The Thickness Speed Progression Index (TSPI) is now available on the Ziemer Galilei platform and has just been published in the American Journal of Ophthalmology as an open-access article!
#OPENACCESS Hammoud et al determine the misclassification rate of the keratoconus percentage (KISA%) index efficacy in eyes with progressive keratoconus https://t.co/kM3JWGPrDZ
Our latest paper is a collaboration with @AUB_Lebanon Biomedical/Electrical and Computer Engineering Programs on Machine Learning Models and FD for Brain Aneurysms:
This tool can outperform Logistic Regression 89% VS 62% ! Matching the best therapeutic tool with the best patient!
Just wrapped up an amazing experience at the 2023 ASRS-Seattle, connecting with brilliant minds in the field. Grateful to have presented our work at Cole Eye with Dr. Justis Ehlers on building #deeplearning models for detection of EZ at risk of progression to #GA in dry #AMD.
Just soaking up so much knowledge and loving the atmosphere at the #ColeEyeRetinaSummit in New Orleans! Thanks @ivistamedicaleducation for sponsoring the trip!
Can #MLalgorithms predict healthcare providers’ perception of workplace safety & risk during the pandemic?
Using KoboToolbox & ML, this study identified factors contributing to perceptions of workplace safety among maternal & newborn healthcare providers.
https://t.co/oRXoPcGdK3