Is robotic assistance more eye-catching than computer navigation in joint arthroplasty? A Google trends analysis from the point of public interest.

Gao, J; Xing, D; Li, J; Li, T; Huang, C; Wang, W

Is robotic assistance more eye-catching than computer navigation in joint arthroplasty? A Google trends analysis from the point of public interest.

Gao, J Xing, D Li, J

Li, T Huang, C Wang, W

Permalink

Publisher:: SPRINGERNATURE
Publication Type:: Journal Article
Citation:: J Robot Surg, 2023, 17, (5), pp. 2167-2176
Issue Date:: 2023-10

Closed Access

	Filename	Description	Size
	Is robotic assistance more eye-catching than computer navigation in joint arthroplasty A Google trends analysis from the poi.pdf	Published version	1.57 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Gao, J
dc.contributor.author	Xing, D
dc.contributor.author	Li, J https://orcid.org/0000-0002-3584-6765
dc.contributor.author	Li, T
dc.contributor.author	Huang, C
dc.contributor.author	Wang, W
dc.date.accessioned	2024-04-29T08:02:56Z
dc.date.available	2023-05-21
dc.date.available	2024-04-29T08:02:56Z
dc.date.issued	2023-10
dc.identifier.citation	J Robot Surg, 2023, 17, (5), pp. 2167-2176
dc.identifier.issn	1863-2483
dc.identifier.issn	1863-2491
dc.identifier.uri	http://hdl.handle.net/10453/178461
dc.description.abstract	Computer-assisted navigation system (CAS) and robotic assisted surgery (RAS) have been widely used in joint arthroplasty, but few studies focused on public interest. We aimed to evaluate current trend and seasonality of public interest in CAS and RAS arthroplasty over the past 10 years, and forecast the future development. All data related to CAS or RAS arthroplasty from January 2012 to December 2021 were collected through Google Trends. Public interest was described by relative search volume (RSV). Pre-existing trend was evaluated by linear and exponential models. Time series analysis and ARIMA model were utilized to analyze the seasonality and future trend. R software 3.5.0 was for statistics analysis. Public interest in RAS arthroplasty has been continuously increasing (P < 0.001) and exponential model (R2 = 0.83, MAE = 7.35, MAPE = 34%, RSME = 9.58) fitted better than linear one (R2 = 0.78, MAE = 8.44, MAPE = 42%, RSME = 10.67). CAS arthroplasty showed a downtrend (P < 0.01) with equivalent R2 (0.04) and accuracy measures (MAE = 3.92, MAPE = 31%, RSME = 4.95). The greatest popularity of RAS was observed in July and October, while the lowest was in March and December. For CAS, a rise of public interest was in May and October, but lower values were observed in January and November. Based on ARIMA models, the popularity of RAS might continuously increase and nearly double in 2030, along with a stability with slight downtrend for CAS. Public interest in RAS arthroplasty has been continuously increasing and seems to maintain this uptrend in the next 10 years, whereas popularity of CAS arthroplasty will likely remain stable.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	SPRINGERNATURE
dc.relation.ispartof	J Robot Surg
dc.relation.isbasedon	10.1007/s11701-023-01630-x
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 1103 Clinical Sciences
dc.subject.classification	Surgery
dc.subject.classification	3202 Clinical sciences
dc.subject.mesh	Humans
dc.subject.mesh	Robotic Surgical Procedures
dc.subject.mesh	Arthroplasty, Replacement, Knee
dc.subject.mesh	Search Engine
dc.subject.mesh	Software
dc.subject.mesh	Computers
dc.subject.mesh	Surgery, Computer-Assisted
dc.subject.mesh	Humans
dc.subject.mesh	Surgery, Computer-Assisted
dc.subject.mesh	Arthroplasty, Replacement, Knee
dc.subject.mesh	Computers
dc.subject.mesh	Software
dc.subject.mesh	Search Engine
dc.subject.mesh	Robotic Surgical Procedures
dc.subject.mesh	Humans
dc.subject.mesh	Robotic Surgical Procedures
dc.subject.mesh	Arthroplasty, Replacement, Knee
dc.subject.mesh	Search Engine
dc.subject.mesh	Software
dc.subject.mesh	Computers
dc.subject.mesh	Surgery, Computer-Assisted
dc.title	Is robotic assistance more eye-catching than computer navigation in joint arthroplasty? A Google trends analysis from the point of public interest.
dc.type	Journal Article
utslib.citation.volume	17
utslib.location.activity	England
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1103 Clinical Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-29T08:02:48Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	17
utslib.citation.issue	5

Abstract:

Computer-assisted navigation system (CAS) and robotic assisted surgery (RAS) have been widely used in joint arthroplasty, but few studies focused on public interest. We aimed to evaluate current trend and seasonality of public interest in CAS and RAS arthroplasty over the past 10 years, and forecast the future development. All data related to CAS or RAS arthroplasty from January 2012 to December 2021 were collected through Google Trends. Public interest was described by relative search volume (RSV). Pre-existing trend was evaluated by linear and exponential models. Time series analysis and ARIMA model were utilized to analyze the seasonality and future trend. R software 3.5.0 was for statistics analysis. Public interest in RAS arthroplasty has been continuously increasing (P < 0.001) and exponential model (R2 = 0.83, MAE = 7.35, MAPE = 34%, RSME = 9.58) fitted better than linear one (R2 = 0.78, MAE = 8.44, MAPE = 42%, RSME = 10.67). CAS arthroplasty showed a downtrend (P < 0.01) with equivalent R2 (0.04) and accuracy measures (MAE = 3.92, MAPE = 31%, RSME = 4.95). The greatest popularity of RAS was observed in July and October, while the lowest was in March and December. For CAS, a rise of public interest was in May and October, but lower values were observed in January and November. Based on ARIMA models, the popularity of RAS might continuously increase and nearly double in 2030, along with a stability with slight downtrend for CAS. Public interest in RAS arthroplasty has been continuously increasing and seems to maintain this uptrend in the next 10 years, whereas popularity of CAS arthroplasty will likely remain stable.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/178461