数据表1：人工智能在糖尿病视网膜病变筛查中的应用——沙特阿拉伯视角

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.docx
• DOI：10.3389/fmed.2023.1303300.s001
• 发布日期：2023-11-23
• 文件数：1 个
• 文件总体积：42.74 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_application_of_artificial_intelligence_in_diabetic_retinopathy_screening_a_Saudi_Arabian_perspective_docx/24618750

命令行下载

curl -L -o "Data_Sheet_1_The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.docx" "https://ndownloader.figshare.com/files/43259058"

文件清单

• Data_Sheet_1_The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.docx（42.74 KB）

文件总体积 42.74 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

IntroductionDiabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabia. With a prevalence of up to 40% of patients with diabetes, DR constitutes a significant public health burden on the country. Saudi Arabia has not yet established a national screening program for DR. Mounting evidence shows that Artificial intelligence (AI)-based DR screening programs are slowly becoming superior to traditional screening, with the COVID-19 pandemic accelerating research into this topic as well as changing the outlook of the public toward it. The main objective of this study is to evaluate the perception and acceptance of AI in DR screening among eye care professionals in Saudi Arabia.
MethodsA cross-sectional study using a self-administered online-based questionnaire was distributed by email through the registry of the Saudi Commission For Health Specialties (SCFHS). 309 ophthalmologists and physicians involved in diabetic eye care in Saudi Arabia participated in the study. Data analysis was done by SPSS, and a value of p 54% of participants rated their level of AI knowledge as above average and 63% believed that AI and telemedicine are interchangeable. 66% believed that AI would decrease the workforce of physicians. 79% expected clinical efficiency to increase with AI. Around 50% of participants expected AI to be implemented in the next 5 years.
DiscussionMost participants reported good knowledge about AI. Physicians with more clinical experience and those who used e-health apps in clinical practice regarded their AI knowledge as higher than their peers. Perceived knowledge was strongly related to acceptance of the benefits of AI-based DR screening. In general, there was a positive attitude toward AI-based DR screening. However, concerns related to the labor market and data confidentiality were evident. There should be further education and awareness about the topic.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2023.1303300.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_application_of_artificial_intelligence_in_diabetic_retinopathy_screening_a_Saudi_Arabian_perspective_docx/24618750）。