Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital

Background: Artificial intelligence (AI) is becoming ever more frequently applied in medicine and, consequently, also in ophthalmology to improve both the quality of work for physicians and the quality of care for patients. The aim of this study is to use AI, in particular classification tree, for t...

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Autores principales:	Michele Lanza, Robert Koprowski, Rosa Boccia, Adriano Ruggiero, Luigi De Rosa, Antonia Tortori, Sławomir Wilczyński, Paolo Melillo, Sandro Sbordone, Francesca Simonelli
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cataract surgery complications artificial intelligence risk factors Medicine R
Acceso en línea:	https://doaj.org/article/b496d7a12af64040b69ef3c4882c4fd2
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spelling	oai:doaj.org-article:b496d7a12af64040b69ef3c4882c4fd22021-11-25T18:02:26ZClassification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital10.3390/jcm102253992077-0383https://doaj.org/article/b496d7a12af64040b69ef3c4882c4fd22021-11-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/22/5399https://doaj.org/toc/2077-0383Background: Artificial intelligence (AI) is becoming ever more frequently applied in medicine and, consequently, also in ophthalmology to improve both the quality of work for physicians and the quality of care for patients. The aim of this study is to use AI, in particular classification tree, for the evaluation of both ocular and systemic features involved in the onset of complications due to cataract surgery in a teaching hospital. Methods: The charts of 1392 eyes of 1392 patients, with a mean age of 71.3 ± 8.2 years old, were reviewed to collect the ocular and systemic data before, during and after cataract surgery, including post-operative complications. All these data were processed by a classification tree algorithm, producing more than 260 million simulations, aiming to develop a predictive model. Results: Postoperative complications were observed in 168 patients. According to the AI analysis, the pre-operative characteristics involved in the insurgence of complications were: ocular comorbidities, lower visual acuity, higher astigmatism and intra-operative complications. Conclusions: Artificial intelligence application may be an interesting tool in the physician’s hands to develop customized algorithms that can, in advance, define the post-operative complication risk. This may help in improving both the quality and the outcomes of the surgery as well as in preventing patient dissatisfaction.Michele LanzaRobert KoprowskiRosa BocciaAdriano RuggieroLuigi De RosaAntonia TortoriSławomir WilczyńskiPaolo MelilloSandro SbordoneFrancesca SimonelliMDPI AGarticlecataract surgerycomplicationsartificial intelligencerisk factorsMedicineRENJournal of Clinical Medicine, Vol 10, Iss 5399, p 5399 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cataract surgery complications artificial intelligence risk factors Medicine R
spellingShingle	cataract surgery complications artificial intelligence risk factors Medicine R Michele Lanza Robert Koprowski Rosa Boccia Adriano Ruggiero Luigi De Rosa Antonia Tortori Sławomir Wilczyński Paolo Melillo Sandro Sbordone Francesca Simonelli Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital
description	Background: Artificial intelligence (AI) is becoming ever more frequently applied in medicine and, consequently, also in ophthalmology to improve both the quality of work for physicians and the quality of care for patients. The aim of this study is to use AI, in particular classification tree, for the evaluation of both ocular and systemic features involved in the onset of complications due to cataract surgery in a teaching hospital. Methods: The charts of 1392 eyes of 1392 patients, with a mean age of 71.3 ± 8.2 years old, were reviewed to collect the ocular and systemic data before, during and after cataract surgery, including post-operative complications. All these data were processed by a classification tree algorithm, producing more than 260 million simulations, aiming to develop a predictive model. Results: Postoperative complications were observed in 168 patients. According to the AI analysis, the pre-operative characteristics involved in the insurgence of complications were: ocular comorbidities, lower visual acuity, higher astigmatism and intra-operative complications. Conclusions: Artificial intelligence application may be an interesting tool in the physician’s hands to develop customized algorithms that can, in advance, define the post-operative complication risk. This may help in improving both the quality and the outcomes of the surgery as well as in preventing patient dissatisfaction.
format	article
author	Michele Lanza Robert Koprowski Rosa Boccia Adriano Ruggiero Luigi De Rosa Antonia Tortori Sławomir Wilczyński Paolo Melillo Sandro Sbordone Francesca Simonelli
author_facet	Michele Lanza Robert Koprowski Rosa Boccia Adriano Ruggiero Luigi De Rosa Antonia Tortori Sławomir Wilczyński Paolo Melillo Sandro Sbordone Francesca Simonelli
author_sort	Michele Lanza
title	Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital
title_short	Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital
title_full	Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital
title_fullStr	Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital
title_full_unstemmed	Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital
title_sort	classification tree to analyze factors connected with post operative complications of cataract surgery in a teaching hospital
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b496d7a12af64040b69ef3c4882c4fd2
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Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital

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