人工智能模型可以与眼科医生相比精确诊断感染性角膜炎,达到89.2%的敏感度和93.2%的特异性. AI models can diagnose infectious keratitis with accuracy comparable to ophthalmologists, achieving 89.2% sensitivity and 93.2% specificity.

伯明翰大学发表在eClinicalMedicine上的研究发现,人工智能模型可以与眼科医生一样准确地诊断感染性角膜炎 (IK),达到89.2%的敏感度和93.2%的特异性. A University of Birmingham study published in eClinicalMedicine found that AI models can diagnose infectious keratitis (IK) with accuracy comparable to ophthalmologists, achieving 89.2% sensitivity and 93.2% specificity. 这种技术对缺乏眼科护理专家的地区特别有益,有可能减少可预防的失明现象。 This technology could be particularly beneficial in areas lacking eye care specialists, potentially reducing preventable blindness. 然而,研究人员强调,需要多种数据和进一步验证,以提高临床可靠性。 However, researchers stress the need for diverse data and further validation to enhance clinical reliability.