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This week's featured paper is a review of federated learning ophthalmic models and their applications in privacy preservation.
πππ² πππ€πππ°ππ²: Federated learning (FL) enables collaborative development of ophthalmic AI without
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This week's featured paper is a review of the clinical applications, characteristics, and clinical value of current multimodal AI in ophthalmology.
πππ² πππ€πππ°ππ²: multimodal AI is AI that integrates multiple data modalities
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This week's featured paper is a review of wearable technologies that capture ocular data which form evidence for clinical assessment and or treatments.
πππ² πππ€πππ°ππ²: Most technologies are still in the technical validation
signals, combining information from multiple sources, and providing real-time assistance rather than making independent diagnoses.
Read the abstract/full paper here π
https://t.co/7r4cnVdCKX
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The session recordings from the Bridging AI in Ophthalmology Conference (2025) are now officially available. Whether you missed a session or want to revisit the groundbreaking insights shared by our speakers,
you can now access the full library of presentations online. Our experts dived deep into the future of eye care, covering essential topics.
πΊ How to Watch
You can find all presentation videos on our official platforms:
π YouTube: https://t.co/3HyJtSEroG
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Bridging AI and Ophthalmology Conference (2025) was a resounding success. We would like to thank all attendees and especially our speakers for the success of the conference.
The statistics from the conference are as follows:
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This week's featured paper validates EyeFM as a clinical copilot in retinal disease screening.
πππ² πππ€πππ°ππ²: EyeFM is a multimodal visionβlanguage copilot for eyecare trained on over 14.5 million ocular images and
marking a significant step forward in the practical and ethical deployment of AI in medicine.
Read the abstract/full paper here π
https://t.co/vRNCK1fslP