Deciphering AMD by Deep Phenotyping and Machine Learning- Prospective Study - PINNACLE
A prospective non‑interventional study will enroll 400 early AMD patients (600 untreated early AMD eyes) in Vienna, Austria, and follow them for at least one year. Patients will undergo Optical Coherence Tomography every four months; when the Vienna Reading Center detects focal changes, a targeted follow‑up schedule will be initiated to investigate the progression at those sites.
A prospective non‑interventional study will enroll 400 early AMD patients (600 untreated early AMD eyes) in Vienna, Austria, and follow them for at least one year. Patients will undergo Optical Coherence Tomography every four months; when the Vienna Reading Center detects focal changes, a targeted follow‑up schedule will be initiated to investigate the progression at those sites.
The study’s use of deep phenotyping and machine learning on retinal imaging data aligns with Swiss AI’s focus on applying advanced AI techniques to medical diagnostics.
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