Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence
Progress in digital health and telemedicine has brought forth instruments can enhance the accessibility and efficacy of eye care services. Current research shows how technology-enabled approaches are changing the way care is provided. Traditional diagnostic methods rely on physician expertise, resul...
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| Format: | Article |
| Language: | English |
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Galenos Publishing House
2024-10-01
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| Series: | Gazi Medical Journal |
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| Online Access: | https://gazimedj.com/articles/revolutionizing-ophthalmic-care-the-impact-of-artificial-intelligence/doi/gmj.2024.4182 |
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| author | L. Subha Atul Sharma Anita Misra |
| author_facet | L. Subha Atul Sharma Anita Misra |
| author_sort | L. Subha |
| collection | DOAJ |
| description | Progress in digital health and telemedicine has brought forth instruments can enhance the accessibility and efficacy of eye care services. Current research shows how technology-enabled approaches are changing the way care is provided. Traditional diagnostic methods rely on physician expertise, resulting in high misdiagnosis rates and data inefficiency. Integrating ophthalmology with artificial intelligence (AI) promises to overhaul current diagnostic approaches, potentially making a significant clinical impact. Deep learning, an emerging facet of machine learning (ML), can uncover complex data structures without explicit rule specifications. The review centers on the revolutionary potential of AI in the identification and treatment of ocular disorders, such as diabetic retinopathy, degenerative maculopathy, retinal diseases, corneal diseases, anterior ocular region issues, and glaucoma. It explores AI-driven advancements in image analysis, pattern recognition, and ML techniques for individualized treatment plans, early diagnosis, and categorization. The difficulties with data standards, interpretability, and integration are discussed in this paper into clinical practice. It also emphasizes the potential of AI to enhance screening efficiency, reduce physician workload, and improve patient outcomes in ocular pathologies. |
| format | Article |
| id | doaj-art-74b34d48cc844e99b6820e8550abc264 |
| institution | Kabale University |
| issn | 2147-2092 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | Gazi Medical Journal |
| spelling | doaj-art-74b34d48cc844e99b6820e8550abc2642025-01-16T11:35:09ZengGalenos Publishing HouseGazi Medical Journal2147-20922024-10-0135445746610.12996/gmj.2024.4182Revolutionizing Ophthalmic Care: The Impact of Artificial IntelligenceL. Subha0https://orcid.org/0000-0002-8825-7905Atul Sharma1https://orcid.org/0009-0001-2279-0942Anita Misra2https://orcid.org/0009-0000-5694-2126Department of Ophthalmology, Sree Balaji Medical College and Hospital, Chennai, IndiaDepartment of Ophthalmology, Padma Eye Care Center, Jabalpur, IndiaDepartment of Ophthalmology, S.C.B Medical College and Hospital, Cuttack, IndiaProgress in digital health and telemedicine has brought forth instruments can enhance the accessibility and efficacy of eye care services. Current research shows how technology-enabled approaches are changing the way care is provided. Traditional diagnostic methods rely on physician expertise, resulting in high misdiagnosis rates and data inefficiency. Integrating ophthalmology with artificial intelligence (AI) promises to overhaul current diagnostic approaches, potentially making a significant clinical impact. Deep learning, an emerging facet of machine learning (ML), can uncover complex data structures without explicit rule specifications. The review centers on the revolutionary potential of AI in the identification and treatment of ocular disorders, such as diabetic retinopathy, degenerative maculopathy, retinal diseases, corneal diseases, anterior ocular region issues, and glaucoma. It explores AI-driven advancements in image analysis, pattern recognition, and ML techniques for individualized treatment plans, early diagnosis, and categorization. The difficulties with data standards, interpretability, and integration are discussed in this paper into clinical practice. It also emphasizes the potential of AI to enhance screening efficiency, reduce physician workload, and improve patient outcomes in ocular pathologies.https://gazimedj.com/articles/revolutionizing-ophthalmic-care-the-impact-of-artificial-intelligence/doi/gmj.2024.4182deep learningglaucomadiabetic retinopathyophthalmologyartificial intelligencedegenerative maculopathy |
| spellingShingle | L. Subha Atul Sharma Anita Misra Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence Gazi Medical Journal deep learning glaucoma diabetic retinopathy ophthalmology artificial intelligence degenerative maculopathy |
| title | Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence |
| title_full | Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence |
| title_fullStr | Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence |
| title_full_unstemmed | Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence |
| title_short | Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence |
| title_sort | revolutionizing ophthalmic care the impact of artificial intelligence |
| topic | deep learning glaucoma diabetic retinopathy ophthalmology artificial intelligence degenerative maculopathy |
| url | https://gazimedj.com/articles/revolutionizing-ophthalmic-care-the-impact-of-artificial-intelligence/doi/gmj.2024.4182 |
| work_keys_str_mv | AT lsubha revolutionizingophthalmiccaretheimpactofartificialintelligence AT atulsharma revolutionizingophthalmiccaretheimpactofartificialintelligence AT anitamisra revolutionizingophthalmiccaretheimpactofartificialintelligence |