Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Michael Pang"'
Autor:
Michael Pang, BS, Jonathan M. Vigdorchik, MD, Ran Schwarzkopf, MD, Antonia F. Chen, MD, MBA, Richard Iorio, MD, Jeffrey K. Lange, MD, Prem N. Ramkumar, MD, MBA
Publikováno v:
Arthroplasty Today, Vol 30, Iss , Pp 101508- (2024)
Background: Spinopelvic mechanics are critical in total hip arthroplasty; however, there is no established consensus for adjusting acetabular component positioning based on spinopelvic parameters. This study aimed to (1) validate a recently developed
Externí odkaz:
https://doaj.org/article/1eb223b9985740dba97055389085abda
Autor:
Olivia King, Emma West, Laura Alston, Hannah Beks, Michele Callisaya, Catherine E. Huggins, Margaret Murray, Kevin Mc Namara, Michael Pang, Warren Payne, Anna Peeters, Mia Pithie, Alesha M. Sayner, Anna Wong Shee
Publikováno v:
Implementation Science, Vol 19, Iss 1, Pp 1-44 (2024)
Abstract Background Building healthcare service and health professionals’ capacity and capability to rapidly translate research evidence into health practice is critical to the effectiveness and sustainability of healthcare systems. This review sco
Externí odkaz:
https://doaj.org/article/1bf73c46963e4d7699927bf521ceb025
Autor:
Prem N. Ramkumar, Hashim J. F. Shaikh, Josh J. Woo, Heather S. Haeberle, Michael Pang, Peter J. Brooks
Publikováno v:
Bone & Joint Open, Vol 4, Iss 6, Pp 408-415 (2023)
Aims: The aims of the study were to report for a cohort aged younger than 40 years: 1) indications for HRA; 2) patient-reported outcomes in terms of the modified Harris Hip Score (HHS); 3) dislocation rate; and 4) revision rate. Methods: This retrosp
Externí odkaz:
https://doaj.org/article/c95d262ba27741abb687b2cf2ac14bf5
Autor:
Arya Rao, Michael Pang, John Kim, Meghana Kamineni, Winston Lie, Anoop K Prasad, Adam Landman, Keith Dreyer, Marc D Succi
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e48659 (2023)
BackgroundLarge language model (LLM)–based artificial intelligence chatbots direct the power of large training data sets toward successive, related tasks as opposed to single-ask tasks, for which artificial intelligence already achieves impressive
Externí odkaz:
https://doaj.org/article/f869ff219b85434bb11f72056d0e4302
Autor:
Teja S, Polisetty, Samagra, Jain, Michael, Pang, Jaret M, Karnuta, Jonathan M, Vigdorchik, Danyal H, Nawabi, Cody C, Wyles, Prem N, Ramkumar
Publikováno v:
The Bone & Joint Journal. :1292-1303
Literature surrounding artificial intelligence (AI)-related applications for hip and knee arthroplasty has proliferated. However, meaningful advances that fundamentally transform the practice and delivery of joint arthroplasty are yet to be realized,
Publikováno v:
Arthroscopy: The Journal of Arthroscopic & Related Surgery. 38:2761-2766
There exists great hope and hype in the literature surrounding applications of artificial intelligence (AI) to orthopaedic surgery. Between 2018 and 2021, a total of 178 AI-related articles were published in orthopaedics. However, for every 2 origina
Supplementary Table 1 and 2. Supplementary table 1. Comparison of characteristics of patients included and excluded from the analysis sample. Supplementary table 2. Factors associated with diagnosis with stage III/IV disease (sensitivity analysis for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb48cb4c8ca4a10288c8e9940b9f42f
https://doi.org/10.1158/1055-9965.22436437.v1
https://doi.org/10.1158/1055-9965.22436437.v1
Background: Fatalistic beliefs may be implicated in longer help-seeking intervals, and consequently, greater risk of advanced stage at cancer diagnosis.Methods: We examined associations between fatalism and stage at diagnosis in a population-based co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::846aefa31688c77eea378e09af787985
https://doi.org/10.1158/1055-9965.c.6515395
https://doi.org/10.1158/1055-9965.c.6515395
Autor:
Arya Rao, Michael Pang, John Kim, Meghana Kamineni, Winston Lie, Anoop K. Prasad, Adam Landman, Keith J Dreyer, Marc D. Succi
Publikováno v:
medRxiv
IMPORTANCELarge language model (LLM) artificial intelligence (AI) chatbots direct the power of large training datasets towards successive, related tasks, as opposed to single-ask tasks, for which AI already achieves impressive performance. The capaci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a29674ade1f23a30a43f61ffbc2acf9
https://europepmc.org/articles/PMC9980239/
https://europepmc.org/articles/PMC9980239/
Publikováno v:
medRxiv
BACKGROUNDChatGPT, a popular new large language model (LLM) built by OpenAI, has shown impressive performance in a number of specialized applications. Despite the rising popularity and performance of AI, studies evaluating the use of LLMs for clinica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3235a0ea5d81d14ac96e42e48e7feda
https://europepmc.org/articles/PMC9934725/
https://europepmc.org/articles/PMC9934725/