Diagnostic Accuracy of IDX-DR for Detecting Diabetic Retinopathy: A Systematic Review and Meta-Analysis.

Journal: American journal of ophthalmology
PMID:

Abstract

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss worldwide, making early detection critical to prevent blindness. IDX-DR, an FDA-approved autonomous artificial intelligence (AI) system, has emerged as an innovative solution to improve access to DR screening. This systematic review and meta-analysis aimed to evaluate the diagnostic accuracy of IDX-DR in detecting diabetic retinopathy.

Authors

  • Zaid Khan
    Evidence for Policy and Learning, Global Center for Evidence Synthesis (Z.K.), Chandigarh, Punjab, India.
  • Abhay M Gaidhane
    Jawaharlal Nehru Medical College, and Global Health Academy (A.M.G), School of Epidemiology and Public Health, Datta Meghe Institute of Higher Education, Wardha, Maharashtra, India.
  • Mahendra Singh
    Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Rae Bareli Road, Lucknow, 226025, India.
  • Subbulakshmi Ganesan
    Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
  • Mandeep Kaur
    Department of Environmental Science & Engineering, Guru Jambheshwar University of Science & Technology, Hisar 125001, Haryana, India.
  • Girish Chandra Sharma
    Department of Endocrinology (G.C.S.), NIMS University, Jaipur, Rajasthan, India.
  • Pooja Rani
    School of Computer Science and Engineering, Rayat Bahra University, Mohali 140413, India.
  • Rsk Sharma
    Department of Chemistry (R.S.), Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
  • Shailendra Thapliyal
    Uttaranchal Institute of Technology (S.T.), Uttaranchal University, Uttarakhand, India.
  • Monam Kushwaha
    IES Institute of Pharmacy (M.K.), IES University, Bhopal, Madhya Pradesh, India.
  • Harish Kumar
    Department of Endocrinology, Amrita Institute of Medical Sciences, Ponekkara, Kochi, Kerala 682041.
  • Rajat Kumar Agarwal
    Department of Microbiology (R.K.A.), Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
  • Muhammed Shabil
    Noida Institute of Engineering and Technology (Pharmacy Institute) (M.S.), Greater Noida, Uttar Pradesh, India.
  • Lokesh Verma
    Centre of Research Impact and Outcome (L.V.), Chitkara University, Rajpura, Punjab, India.
  • Amritpal Sidhu
    Chitkara Centre for Research and Development (A.S.), Chitkara University, Himachal Pradesh, India.
  • Norhafizah Binti Ab Manan
    University of Cyberjaya, Persiaran Bestari (N.B.A.M.), Cyber 11, Cyberjaya, Selangor Darul Ehsan, Malaysia.
  • Ganesh Bushi
    School of Pharmaceutical Sciences (G.B.), Lovely Professional University, Phagwara, Punjab, India.
  • Rachana Mehta
    Dr. Lal PathLabs Nepal, Kathmandu, Nepal.
  • Sanjit Sah
    Department of Paediatrics (S.S.), Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India; Department of Public Health Dentistry (S.S.), Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India.
  • Prakasini Satapathy
    Department of Virology.
  • Shailesh Kumar Samal
    Evidence for Policy and Learning, Global Center for Evidence Synthesis (Z.K.), Chandigarh, Punjab, India; Unit of Immunology and Chronic Disease (S.K.S.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. Electronic address: samalshaileshkumar@gmail.com.