An AI tool that combines optical coherence tomography with infrared scanning laser ophthalmoscopy could aid early diagnosis and better management of MS.
with"astonishing" accuracy near 100%, potentially leading to earlier diagnosis and treatment, researchers reported.
To investigate, researchers trained computer models to classify MS using IR-SLO and OCT data from 32 patients with MS and 70 healthy individuals. "Integration of IR-SLO images and OCT thickness maps led to superior model performance ," the study team reported. "By addressing these steps, the proposed bimodal model can be effectively translated into clinical use, offering a significant advancement in the diagnosis and management of MS," Kafieh said., Patricia K. Coyle, MD, professor of neurology, Renaissance School of Medicine at Stony Brook, in Stony Brook, New York, who wasn't involved in the study, echoed the need for further research.
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