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1.
Eye (Lond) ; 37(18): 3813-3818, 2023 12.
Article in English | MEDLINE | ID: mdl-37322379

ABSTRACT

OBJECTIVES: To conduct an external validation of an automated artificial intelligence (AI) diagnostic system using fundus photographs from a real-life multicentre cohort. METHODS: We designed external validation in multiple scenarios, consisting of 3049 images from Qilu Hospital of Shandong University in China (QHSDU, validation dataset 1), 7495 images from three other hospitals in China (validation dataset 2), and 516 images from high myopia (HM) population of QHSDU (validation dataset 3). The corresponding sensitivity, specificity and accuracy of this AI diagnostic system to identify glaucomatous optic neuropathy (GON) were calculated. RESULTS: In validation datasets 1 and 2, the algorithm yielded accuracy of 93.18% and 91.40%, area under the receiver operating curves (AUC) of 95.17% and 96.64%, and significantly higher sensitivity of 91.75% and 91.41%, respectively, compared to manual graders. On the subsets complicated with retinal comorbidities, such as diabetic retinopathy or age-related macular degeneration, in validation datasets 1 and 2, the algorithm achieved accuracy of 87.54% and 93.81%, and AUC of 97.02% and 97.46%, respectively. In validation dataset 3, the algorithm achieved comparable accuracy of 81.98% and AUC of 87.49%, with a sensitivity of 83.61% and specificity of 81.76% on GON recognition specifically in the HM population. CONCLUSIONS: With acceptable generalization capability across varying levels of image quality, different clinical centres, or certain retinal comorbidities, such as HM, the automatic AI diagnostic system had the potential to provide expert-level glaucoma detection.


Subject(s)
Deep Learning , Glaucoma , Optic Nerve Diseases , Humans , Artificial Intelligence , ROC Curve , Glaucoma/diagnosis , Glaucoma/complications , Optic Nerve Diseases/diagnosis , Optic Nerve Diseases/complications
2.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-679200

ABSTRACT

AIM: To explore mitochondrial mechanisms of apoptosis induced by artesunate in human leukemia HL60 cells. METHODS: Human leukemia HL60 cell lines were treated by artesunate. The inhibitory effect on cell proliferation was assessed by MTT assay. Electron microscopy and DNA gel electrophoresis was applied to demonstrate the presence of apoptosis. The level of MMP, cell cycle were determined by flow cytometry (FCM). The activity of caspase 3 was observed by colorimetry. RESULTS: Art showed a dose dependent and time dependent manner on the growth of HL60 cells (P

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