Omari Amro, Samad Momin, Bakhsh Saaquib R, Tajran Jahan, Williams George A
Beaumont Eye Institute, Royal Oak, MI, USA.
Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
Clin Ophthalmol. 2022 Aug 22;16:2751-2757. doi: 10.2147/OPTH.S364765. eCollection 2022.
To assess the use of a smartphone-based fundus camera in diagnosing acute posterior segment disease in the emergency room (ER) of an academic center, where standard fundus cameras are currently unavailable.
STUDY DESIGN/PATIENTS AND METHODS: Images were obtained on 10 eyes with various types of posterior segment pathology. These were analyzed retrospectively by 35 reviewers (21 residents and 14 attending physicians). Accuracy of diagnosis was compared to in-office fundus photography.
The average probability of correct diagnosis was over 78%. There was no difference between resident and attending reviewers, except for one of the vitreous hemorrhage cases where residents performed better (p=0.039).
Smartphone-based cameras are effective in screening for ocular diseases in the ER of academic centers, where residents and fellows are often the first providers to see various types of vision and life-threatening pathology.
在一个学术中心的急诊室（ER），目前没有标准眼底照相机，评估使用基于智能手机的眼底照相机诊断急性后段疾病的情况。
研究设计/患者与方法：对10只患有各种类型后段病变的眼睛进行图像采集。由35名评审人员（21名住院医师和14名主治医师）进行回顾性分析。将诊断准确性与门诊眼底摄影进行比较。
正确诊断的平均概率超过78%。住院医师和主治医师评审人员之间没有差异，除了1例玻璃体积血病例，住院医师表现更好（p=0.039）。
在学术中心的急诊室，基于智能手机的照相机在筛查眼部疾病方面是有效的，在那里住院医师和研究员往往是首批诊治各种视力和危及生命病变的人员。
