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Design, operation and strengthening of health practitioner regulation systems: review protocol ...
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Auditory Processing and Reading Disability: A Systematic Review and Meta-Analysis ...
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Systematic Review and Meta-Analysis of Dialectical Behavior Therapy (DBT) with Youth ...
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Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
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In: Electronics; Volume 11; Issue 3; Pages: 374 (2022)
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What Is Going on with Visual Attention in Reading and Dyslexia? A Critical Review of Recent Studies
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In: Brain Sciences; Volume 12; Issue 1; Pages: 87 (2022)
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LGBTQI + Migrants: A Systematic Review and Conceptual Framework of Health, Safety and Wellbeing during Migration
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 2; Pages: 869 (2022)
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An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases
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In: Diagnostics; Volume 12; Issue 4; Pages: 836 (2022)
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A Systematic Review of Artificial Intelligence Applications Used for Inherited Retinal Disease Management
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In: Medicina; Volume 58; Issue 4; Pages: 504 (2022)
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Abstract:
Nowadays, Artificial Intelligence (AI) and its subfields, Machine Learning (ML) and Deep Learning (DL), are used for a variety of medical applications. It can help clinicians track the patient’s illness cycle, assist with diagnosis, and offer appropriate therapy alternatives. Each approach employed may address one or more AI problems, such as segmentation, prediction, recognition, classification, and regression. However, the amount of AI-featured research on Inherited Retinal Diseases (IRDs) is currently limited. Thus, this study aims to examine artificial intelligence approaches used in managing Inherited Retinal Disorders, from diagnosis to treatment. A total of 20,906 articles were identified using the Natural Language Processing (NLP) method from the IEEE Xplore, Springer, Elsevier, MDPI, and PubMed databases, and papers submitted from 2010 to 30 October 2021 are included in this systematic review. The resultant study demonstrates the AI approaches utilized on images from different IRD patient categories and the most utilized AI architectures and models with their imaging modalities, identifying the main benefits and challenges of using such methods.
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Keyword:
artificial intelligence; deep learning; inherited retinal disease; machine learning; systematic review
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URL: https://doi.org/10.3390/medicina58040504
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An Abductive Analysis of Debates on the Impact of the Sharing Economy: A Systematic Review in a Sustainable Framework
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In: Sustainability; Volume 14; Issue 7; Pages: 3996 (2022)
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Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4419 (2022)
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Teachers’ Attitudes toward Autism Spectrum Disorder: A Systematic Review
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In: Education Sciences; Volume 12; Issue 2; Pages: 138 (2022)
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The use of telepractice to administer norm referenced communication and cognition assessments in children with hearing impairment: A rapid review ...
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Patient-Reported Outcomes in Rheumatoid Arthritis: A Key Consideration for Evaluating Biosimilar Uptake?
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In: Patient Relat Outcome Meas (2022)
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Measuring public opinion and acceptability of prevention policies: an integrative review and narrative synthesis of methods
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In: Health Res Policy Syst (2022)
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LGBTQI + Migrants: A Systematic Review and Conceptual Framework of Health, Safety and Wellbeing during Migration
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In: Int J Environ Res Public Health (2022)
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Effects of CPAP on Language Recovery in Post-Stroke Aphasia: A Review of Recent Literature
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In: Brain Sci (2022)
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Development of a standard of care for patients with valosin-containing protein associated multisystem proteinopathy
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In: Orphanet J Rare Dis (2022)
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Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
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In: J Med Internet Res (2022)
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Language skills differences between adults without formal education and low formal education
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In: Psicol Reflex Crit (2022)
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