To evaluate the role of ultra-widefield color fundus photography (UWF-CFP) in the assessment of diabetic retinopathy (DR) and its integration with artificial intelligence and multimodal data.
Key Findings:
UWF-CFP can visualize peripheral ischemia and neovascularization effectively.
Vascular parameters from UWF-CFP correlate with systemic complications such as diabetic nephropathy and stroke risk.
UWF-CFP may facilitate a shift from ETDRS 7-field to full retinal assessment.
Interpretation:
UWF-CFP, combined with AI and multimodal data, may enhance the assessment of both ocular and systemic risks in diabetic patients.
Limitations:
The proposed 'eye–system collaborative management' paradigm requires validation in prospective studies.
Conclusion:
UWF-CFP represents a significant advancement in diabetic retinopathy assessment, with potential implications for systemic health monitoring.
