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Researchers have developed an AI system that automatically generates diagnostic reports for retinal OCT images with quality comparable to ophthalmologists. The technology could significantly reduce eye specialists’ reporting time while improving access to expert care in remote areas.
Researchers have developed a deep learning system that automatically generates diagnostic reports for retinal optical coherence tomography (OCT) images with accuracy comparable to human ophthalmologists, according to a recent study published in npj Digital Medicine. The MORG model reportedly outperforms both generalized large language models and other state-of-the-art image captioning systems in medical correctness assessments conducted by retinal specialists.
