Artificial intelligence in arthroplasty

Abstract Artificial intelligence (AI) is altering the world of medicine. Given the rapid advances in technology, computers are now able to learn and improve, imitating humanoid cognitive function. AI applications currently exist in various medical specialties, some of which are already in clinical u...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Glen Purnomo, Seng-Jin Yeo, Ming Han Lincoln Liow
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Artificial intelligence Deep learning Machine learning Arthroplasty Joint replacement Orthopedic surgery RD701-811
Acceso en línea:	https://doaj.org/article/fca46fe7c5d44b87b3e1807b9164e515
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fca46fe7c5d44b87b3e1807b9164e515
record_format	dspace
spelling	oai:doaj.org-article:fca46fe7c5d44b87b3e1807b9164e5152021-11-08T11:19:18ZArtificial intelligence in arthroplasty10.1186/s42836-021-00095-32524-7948https://doaj.org/article/fca46fe7c5d44b87b3e1807b9164e5152021-11-01T00:00:00Zhttps://doi.org/10.1186/s42836-021-00095-3https://doaj.org/toc/2524-7948Abstract Artificial intelligence (AI) is altering the world of medicine. Given the rapid advances in technology, computers are now able to learn and improve, imitating humanoid cognitive function. AI applications currently exist in various medical specialties, some of which are already in clinical use. This review presents the potential uses and limitations of AI in arthroplasty to provide a better understanding of the existing technology and future direction of this field. Recent literature demonstrates that the utilization of AI in the field of arthroplasty has the potential to improve patient care through better diagnosis, screening, planning, monitoring, and prediction. The implementation of AI technology will enable arthroplasty surgeons to provide patient-specific management in clinical decision making, preoperative health optimization, resource allocation, decision support, and early intervention. While this technology presents a variety of exciting opportunities, it also has several limitations and challenges that need to be overcome to ensure its safety and effectiveness.Glen PurnomoSeng-Jin YeoMing Han Lincoln LiowBMCarticleArtificial intelligenceDeep learningMachine learningArthroplastyJoint replacementOrthopedic surgeryRD701-811ENArthroplasty, Vol 3, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Artificial intelligence Deep learning Machine learning Arthroplasty Joint replacement Orthopedic surgery RD701-811
spellingShingle	Artificial intelligence Deep learning Machine learning Arthroplasty Joint replacement Orthopedic surgery RD701-811 Glen Purnomo Seng-Jin Yeo Ming Han Lincoln Liow Artificial intelligence in arthroplasty
description	Abstract Artificial intelligence (AI) is altering the world of medicine. Given the rapid advances in technology, computers are now able to learn and improve, imitating humanoid cognitive function. AI applications currently exist in various medical specialties, some of which are already in clinical use. This review presents the potential uses and limitations of AI in arthroplasty to provide a better understanding of the existing technology and future direction of this field. Recent literature demonstrates that the utilization of AI in the field of arthroplasty has the potential to improve patient care through better diagnosis, screening, planning, monitoring, and prediction. The implementation of AI technology will enable arthroplasty surgeons to provide patient-specific management in clinical decision making, preoperative health optimization, resource allocation, decision support, and early intervention. While this technology presents a variety of exciting opportunities, it also has several limitations and challenges that need to be overcome to ensure its safety and effectiveness.
format	article
author	Glen Purnomo Seng-Jin Yeo Ming Han Lincoln Liow
author_facet	Glen Purnomo Seng-Jin Yeo Ming Han Lincoln Liow
author_sort	Glen Purnomo
title	Artificial intelligence in arthroplasty
title_short	Artificial intelligence in arthroplasty
title_full	Artificial intelligence in arthroplasty
title_fullStr	Artificial intelligence in arthroplasty
title_full_unstemmed	Artificial intelligence in arthroplasty
title_sort	artificial intelligence in arthroplasty
publisher	BMC
publishDate	2021
url	https://doaj.org/article/fca46fe7c5d44b87b3e1807b9164e515
work_keys_str_mv	AT glenpurnomo artificialintelligenceinarthroplasty AT sengjinyeo artificialintelligenceinarthroplasty AT minghanlincolnliow artificialintelligenceinarthroplasty
_version_	1718442297492766720

Artificial intelligence in arthroplasty

Ejemplares similares