Clinician-Led Code-Free Deep Learning for Detecting Papilledema and Pseudopapilledema Using Optic Disc Imaging

Key Points

• The research aims to demonstrate a code-free deep learning method for detecting papilledema in clinical settings.
• Developed a user-friendly deep learning model for optic disc imaging.
• Tested the model's effectiveness in recognizing papilledema and pseudopapilledema.
• Engaged clinicians without coding expertise to validate the model's usability.
• The deep learning model accurately identifies papilledema and pseudopapilledema.
• Clinicians found the tool accessible and easy to use without prior coding experience.