PloS one, 2021-08, Vol.16 (8), p.e0255034-e0255034
2021
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Details
- Autor(en) / Beteiligte
- Titel
- Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care—A meta-analysis
- Ist Teil von
- PloS one, 2021-08, Vol.16 (8), p.e0255034-e0255034
- Ort / Verlag
- San Francisco: Public Library of Science
- Erscheinungsjahr
- 2021
- Quelle
- EZB Electronic Journals Library
- Beschreibungen/Notizen
- Diabetic retinopathy (DR) affects 10-24% of patients with diabetes mellitus type 1 or 2 in the primary care (PC) sector. As early detection is crucial for treatment, deep learning screening methods in PC setting could potentially aid in an accurate and timely diagnosis. The purpose of this meta-analysis was to determine the current state of knowledge regarding deep learning (DL) screening methods for DR in PC. A systematic literature search was conducted using Medline, Web of Science, and Scopus to identify suitable studies.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0255034Titel-ID: cdi_plos_journals_2560042075
- Format
- –
- Schlagworte
- Algorithms, Ambulatory care, Artificial intelligence, Bias, Biology and Life Sciences, Cable television broadcasting industry, Computer and Information Sciences, COVID-19, Datasets, Deep learning, Diabetes, Diabetes mellitus, Diabetes mellitus (insulin dependent), Diabetes therapy, Diabetic retinopathy, Diabetics, Diagnosis, Diagnostic imaging, Evaluation, Health care, Imaging systems, Information technology, Machine learning, Medical diagnosis, Medical research, Medicine and Health Sciences, Meta-analysis, Methods, Neural networks, Parameter sensitivity, Patients, Physical Sciences, Primary care, Research and Analysis Methods, Retinopathy, Systematic review, Type 1 diabetes, Validity