Neural Networks and Artificial Intelligence in Thoracic Surgery

Assessment of surgical risk in patients undergoing pulmonary resection is a fundamental goal for thoracic surgeons. Commonly available risk scores do not predict the individual outcome. Data mining and artificial neural networks are artificial intelligence mathematical models that have been used for...

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Detalles Bibliográficos
Autores principales: Esteva, H., Núñez, T.G., Rodríguez, R.O.
Formato: JOUR
Materias:
artificial intelligence
artificial neural network
comorbidity
data mining
lung resection
medical practice
outcome assessment
priority journal
prognosis
review
risk assessment
scoring system
surgical risk
surgical technique
thorax surgery
treatment planning
Artificial Intelligence
Humans
Neural Networks (Computer)
Surgery, Computer-Assisted
Thoracic Diseases
Thoracic Surgical Procedures
Treatment Outcome
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15474127_v17_n3_p359_Esteva
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling todo:paper_15474127_v17_n3_p359_Esteva2023-10-03T16:23:09Z Neural Networks and Artificial Intelligence in Thoracic Surgery Esteva, H. Núñez, T.G. Rodríguez, R.O. artificial intelligence artificial neural network comorbidity data mining lung resection medical practice outcome assessment priority journal prognosis review risk assessment scoring system surgical risk surgical technique thorax surgery treatment planning Artificial Intelligence Humans Neural Networks (Computer) Surgery, Computer-Assisted Thoracic Diseases Thoracic Surgical Procedures Treatment Outcome Assessment of surgical risk in patients undergoing pulmonary resection is a fundamental goal for thoracic surgeons. Commonly available risk scores do not predict the individual outcome. Data mining and artificial neural networks are artificial intelligence mathematical models that have been used for estimation of prognosis in different clinical scenarios. When used to assess the surgical risk, they can integrate results from multiple data by predicting the individual outcome for patients rather than assigning them to less precise risk group categories. © 2007 Elsevier Inc. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15474127_v17_n3_p359_Esteva
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic artificial intelligence
artificial neural network
comorbidity
data mining
lung resection
medical practice
outcome assessment
priority journal
prognosis
review
risk assessment
scoring system
surgical risk
surgical technique
thorax surgery
treatment planning
Artificial Intelligence
Humans
Neural Networks (Computer)
Surgery, Computer-Assisted
Thoracic Diseases
Thoracic Surgical Procedures
Treatment Outcome
spellingShingle artificial intelligence
artificial neural network
comorbidity
data mining
lung resection
medical practice
outcome assessment
priority journal
prognosis
review
risk assessment
scoring system
surgical risk
surgical technique
thorax surgery
treatment planning
Artificial Intelligence
Humans
Neural Networks (Computer)
Surgery, Computer-Assisted
Thoracic Diseases
Thoracic Surgical Procedures
Treatment Outcome
Esteva, H.
Núñez, T.G.
Rodríguez, R.O.
Neural Networks and Artificial Intelligence in Thoracic Surgery
topic_facet artificial intelligence
artificial neural network
comorbidity
data mining
lung resection
medical practice
outcome assessment
priority journal
prognosis
review
risk assessment
scoring system
surgical risk
surgical technique
thorax surgery
treatment planning
Artificial Intelligence
Humans
Neural Networks (Computer)
Surgery, Computer-Assisted
Thoracic Diseases
Thoracic Surgical Procedures
Treatment Outcome
description Assessment of surgical risk in patients undergoing pulmonary resection is a fundamental goal for thoracic surgeons. Commonly available risk scores do not predict the individual outcome. Data mining and artificial neural networks are artificial intelligence mathematical models that have been used for estimation of prognosis in different clinical scenarios. When used to assess the surgical risk, they can integrate results from multiple data by predicting the individual outcome for patients rather than assigning them to less precise risk group categories. © 2007 Elsevier Inc. All rights reserved.
format JOUR
author Esteva, H.
Núñez, T.G.
Rodríguez, R.O.
author_facet Esteva, H.
Núñez, T.G.
Rodríguez, R.O.
author_sort Esteva, H.
title Neural Networks and Artificial Intelligence in Thoracic Surgery
title_short Neural Networks and Artificial Intelligence in Thoracic Surgery
title_full Neural Networks and Artificial Intelligence in Thoracic Surgery
title_fullStr Neural Networks and Artificial Intelligence in Thoracic Surgery
title_full_unstemmed Neural Networks and Artificial Intelligence in Thoracic Surgery
title_sort neural networks and artificial intelligence in thoracic surgery
url http://hdl.handle.net/20.500.12110/paper_15474127_v17_n3_p359_Esteva
work_keys_str_mv AT estevah neuralnetworksandartificialintelligenceinthoracicsurgery
AT nuneztg neuralnetworksandartificialintelligenceinthoracicsurgery
AT rodriguezro neuralnetworksandartificialintelligenceinthoracicsurgery
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