首页|New Findings from Nanyang Technological University Describe Advances in Artifici al Intelligence (Managing a Patient With Uveitis In the Era of Artificial Intell igence: Current Approaches, Emerging Trends, and Future Perspectives)
New Findings from Nanyang Technological University Describe Advances in Artifici al Intelligence (Managing a Patient With Uveitis In the Era of Artificial Intell igence: Current Approaches, Emerging Trends, and Future Perspectives)
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Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating from Sing apore, Singapore, by NewsRx correspondents, research stated, "The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnos ing, treating, and managing medical conditions with remarkable precision. Uveiti s, a diverse group of rare eye conditions characterized by inflammation of the u veal tract, exemplifies the complexities in ophthalmology due to its varied caus es, clinical presentations, and responses to treatments." Financial support for this research came from National Medical Research Council, Singapore. Our news editors obtained a quote from the research from Nanyang Technological U niversity, "Uveitis, if not managed promptly and effectively, can lead to signif icant visual impairment. However, its management requires specialized knowledge, which is often lacking, particularly in regions with limited access to health s ervices. AI's capabilities in pattern recognition, data analysis, and predictive modelling offer significant potential to revolutionize uveitis management. AI c an classify disease etiologies, analyze multimodal imaging data, predict outcome s, and identify new therapeutic targets. However, transforming these AI models i nto clinical applications and meeting patient expectations in-volves overcoming challenges like acquiring extensive, annotated datasets, ensuring algorithmic t ransparency, and validating these models in real-world settings. This review del ves into the complexities of uveitis and the current AI landscape, discussing th e development, opportunities, and challenges of AI from theoretical models to be dside application. It also examines the epidemiology of uveitis, the global shor tage of uveitis specialists, and the disease's socioeconomic impacts, underlinin g the critical need for AI-driven approaches."
SingaporeSingaporeAsiaArtificial I ntelligenceEmerging TechnologiesEpidemiologyEye Diseases and ConditionsH ealth and MedicineMachine LearningOphthalmologyUveal Diseases and Conditio nsUveitisNanyang Technological University
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