Using artificial intelligence reading label system in diabetic retinopathy grading training of junior ophthalmology residents and medical students

被引：0
|
作者：
Ruoan Han
Weihong Yu
Huan Chen
Youxin Chen
机构：
[1] Chinese Academy of Medical Sciences,Department of Ophthalmology, Peking Union Medical College Hospital, Key Laboratory of Ocular Fundus Diseases
来源：
BMC Medical Education | / 22卷
关键词：
Diabetic retinopathy; Artificial intelligence; Grading training;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 10 条
  • [1] Using artificial intelligence reading label system in diabetic retinopathy grading training of junior ophthalmology residents and medical students
    Han, Ruoan
    Yu, Weihong
    Chen, Huan
    Chen, Youxin
    [J]. BMC MEDICAL EDUCATION, 2022, 22 (01)
  • [2] Screening of Diabetic Retinopathy Using Artificial Intelligence and Tele-Ophthalmology
    Kuklinski, Eric J.
    Henry, Roger K.
    Shah, Megh
    Zarbin, Marco A.
    Szirth, Bernard
    Bhagat, Neelakshi
    [J]. JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY, 2023, 17 (06): : 1724 - 1725
  • [3] Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students
    Lyu, Xiaohong
    Dong, Liang
    Fan, Zhongkai
    Sun, Yu
    Zhang, Xianglin
    Liu, Ning
    Wang, Dongdong
    [J]. BMC MEDICAL EDUCATION, 2024, 24 (01)
  • [4] Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence Software
    Wang, Xiang-Ning
    Dai, Ling
    Li, Shu-Ting
    Kong, Hong-Yu
    Sheng, Bin
    Wu, Qiang
    [J]. CURRENT EYE RESEARCH, 2020, 45 (12) : 1550 - 1555
  • [5] The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy
    Qian, Xu
    Han, Jingying
    Xian, Song
    Zhao, Yuqing
    Wu, Lili
    Chu, Baorui
    Wei, Guo
    Zheng, Yefeng
    Qiang, Zhang
    Chu, Chunyan
    Cheng, Bian
    Kai, Ma
    Yi, Qu
    [J]. FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [6] Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy
    Rossi, Jesus Gomez
    Rojas-Perilla, Natalia
    Krois, Joachim
    Schwendicke, Falk
    [J]. JAMA NETWORK OPEN, 2022, 5 (03)
  • [7] Using Human Intrahepatic Bile Duct System Corrosion Casts in Training of the Medical Students and Residents
    Ivan, Codrut
    Nica, Cristian C.
    Dobrescu, Amadeus
    Belic, Olga
    Matusz, Petru
    Olariu, Sorin
    [J]. MATERIALE PLASTICE, 2015, 52 (01) : 48 - 50
  • [8] Potential Screening, Grading and Follow-Up of Diabetic Retinopathy in Primary Care Using Artificial Intelligence -How Hard Would It Be to Implement? An Ophthalmologist's Perspective
    Rusu, Alexandra Cristina
    Chistol, Raluca Ozana
    Damian, Simona Irina
    Brinzaniuc, Klara
    Horvath, Karin Ursula
    [J]. BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 2024, 15 (02) : 280 - 303
  • [9] Accuracy of Integrated Artificial Intelligence (AI) Grading at the Point of Care (POC) Using Handheld Retinal Imaging in a Community-Based Diabetic Retinopathy (DR) Screening Program (DRSP)
    Salongcay, Recivall
    Anne Aquino, Lizzie
    Michael Salva, Claude
    Paulo Alog, Glenn
    Locaylocay, Kaye
    Viguilla Saunar, Aileen
    Jacoba, Cris Martin P.
    Sun, Jennifer K.
    Aiello, Lloyd P.
    Peto, Tunde
    Silva, Paolo S.
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [10] Retinal vascular morphological characteristics in diabetic retinopathy: an artificial intelligence study using a transfer learning system to analyze ultra-wide field images
    Deng, Xin-Yi
    Liu, Hui
    Zhang, Zheng-Xi
    Li, Han-Xiao
    Wang, Jun
    Chen, Yi-Qi
    Mao, Jian-Bo
    Sun, Ming-Zhai
    Shen, Li -Jun
    [J]. INTERNATIONAL JOURNAL OF OPHTHALMOLOGY, 2024, 17 (06) : 1001 - 1006
1