Application of Artificial Intelligence in the Analysis of Features Affecting Cataract Surgery Complications in a Teaching Hospital Article Swipe
Michele Lanza
,
Robert Koprowski
,
Rosa Boccia
,
Katarzyna Krysik
,
Sandro Sbordone
,
Antonio Tartaglione
,
Adriano Ruggiero
,
Francesca Simonelli
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3389/fmed.2020.607870
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3389/fmed.2020.607870
Aims: To evaluate the ocular and systemic factors involved in cataract surgery complications in a teaching hospital using artificial intelligence. Methods: One eye of 1,229 patients with a mean age of 70.2 ± 10.3 years old that underwent cataract surgery was selected for this study. Ocular and systemic details of the patients were recorded and then analyzed by means of artificial intelligence. A total of 1.25 billion simulations of artificial intelligence learning and testing were conducted on several variables and a customized model of analysis was developed. Results: A total of 73 complications were recorded in this study. According to the analysis performed, the main factors involved in cataract surgery complications were: a surgeon in training, axial length and intraocular lens power. The model predicted how long surgery would last with an error of <6 min compared to the effective time needed. Conclusions: According to the data here obtained, artificial intelligence could be an interesting option to build customized models able to prevent complications and to predict actual surgery time. The customized algorithm option allows the development of better models adaptable to different units as well as the possibility to be calibrated for the same unit along time.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmed.2020.607870
- https://www.frontiersin.org/articles/10.3389/fmed.2020.607870/pdf
- OA Status
- gold
- Cited By
- 14
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3111166651
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3111166651Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmed.2020.607870Digital Object Identifier
- Title
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Application of Artificial Intelligence in the Analysis of Features Affecting Cataract Surgery Complications in a Teaching HospitalWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-11Full publication date if available
- Authors
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Michele Lanza, Robert Koprowski, Rosa Boccia, Katarzyna Krysik, Sandro Sbordone, Antonio Tartaglione, Adriano Ruggiero, Francesca SimonelliList of authors in order
- Landing page
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https://doi.org/10.3389/fmed.2020.607870Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fmed.2020.607870/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fmed.2020.607870/pdfDirect OA link when available
- Concepts
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Cataract surgery, Medicine, Surgery, Artificial intelligence, Ophthalmology, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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14Total citation count in OpenAlex
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2025: 2, 2024: 5, 2023: 2, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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