Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Hilal Maradit Kremers"'
Autor:
Caroline Constant, DMV, MSc, MENG, DACVS-LA, DECVS, Carl-Eric Aubin, PhD, ScD(hc), PEng, Hilal Maradit Kremers, MD, MSc, Diana V. Vera Garcia, MD, Cody C. Wyles, MD, Pouria Rouzrokh, MD, Annalise Noelle Larson, MD
Publikováno v:
North American Spine Society Journal, Vol 15, Iss , Pp 100236- (2023)
Background: Artificial intelligence is a revolutionary technology that promises to assist clinicians in improving patient care. In radiology, deep learning (DL) is widely used in clinical decision aids due to its ability to analyze complex patterns a
Externí odkaz:
https://doaj.org/article/2f47d649d01246efb5edba712ba86e3f
Autor:
M. Moein Shariatnia, MD, Taghi Ramazanian, MD, Joaquin Sanchez-Sotelo, MD, PhD, Hilal Maradit Kremers, MD, MSc
Publikováno v:
JSES Reviews, Reports, and Techniques, Vol 2, Iss 3, Pp 297-301 (2022)
Background: Several bone morphological parameters, including the anterior acromion morphology, the lateral acromial angle, the coracohumeral interval, the glenoid inclination, the acromion index (AI), and the shoulder critical angle (CSA), have been
Externí odkaz:
https://doaj.org/article/588847c913c94abfa940a835299d237c
Autor:
Celia C. Kamath, PhD, Thomas J. O’Byrne, MAS, David G. Lewallen, MD, Daniel J. Berry, MD, Hilal Maradit Kremers, MD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 6, Iss 4, Pp 337-346 (2022)
Objective: To assess the impact of neighborhood-level socioeconomic status factors (area deprivation index [ADI] and rural classification) and their interaction with individual-level socioeconomic status (education-level) on long-term outcomes follow
Externí odkaz:
https://doaj.org/article/84e6e38016de4cb7aa609b38594a768c
Autor:
Stephanie M. Peterson, Thomas J. O’Byrne, Peter C. Brennan, Paul J. Jannetto, Kevin D. Pavelko, David G. Lewallen, Maria Vassilaki, Hilal Maradit Kremers
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Total joint arthroplasty (TJA) implants are composed of metal components. Although they are regarded safe, the long-term immunological effects of chronic exposure to the specific implant materials are unknown. We recruited 115 hip and/or knee TJA pat
Externí odkaz:
https://doaj.org/article/74dec7d1b8694bbea541efa0b63b70be
Autor:
Benjamin F. Mundell, Marianne T. Luetmer, Hilal Maradit Kremers, Sue Visscher, Kurtis M. Hoppe, Kenton R. Kaufman
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss S1, Pp 1-7 (2018)
Abstract Background It is well-known that the risk of cardiac disease is increased for those with lower-limb amputations, likely as a result of the etiology of the amputation. Using a longitudinal population-based dataset, we examined the association
Externí odkaz:
https://doaj.org/article/7c994a76aeb64026ba7f0e0387efade5
Autor:
Elena Myasoedova, Bharath Manu Akkara Veetil, Eric L. Matteson, Hilal Maradit Kremers, Marian T. McEvoy, Cynthia S. Crowson
Publikováno v:
Scientifica, Vol 2013 (2013)
Objective. To examine the utility of the Framingham risk score (FRS) in estimating cardiovascular risk in psoriasis. Methods. We compared the predicted 10-year risk of cardiovascular events, namely, cardiovascular death, myocardial infarction, heart
Externí odkaz:
https://doaj.org/article/77b3e09442954e94a004bcd88c0e8fea
Autor:
Isabella Zaniletti, Dirk R. Larson, David G. Lewallen, Daniel J. Berry, Hilal Maradit Kremers
Publikováno v:
The Journal of Arthroplasty. 38:627-633
Prediction models are common in medicine for predicting outcomes such as mortality, complications, or response to treatment. Despite the growing interest in these models in arthroplasty (and orthopaedics in general), few have been adopted in clinical
Autor:
Ashley L Holland, Pravesh Sharma, Shaheen Kurani, Vanessa Pazdernik, Christi Patten, Hilal Maradit Kremers, Paul Croarkin, Celia Kamath, Amy Glasgow, Lindsey Sangaralingham, Jennifer Geske, Kavita Prasad, Jennifer St. Sauver
Publikováno v:
The American Journal of Drug and Alcohol Abuse. :1-10
Autor:
Katrina L. Devick, Isabella Zaniletti, Dirk R. Larson, David G. Lewallen, Daniel J. Berry, Hilal Maradit Kremers
Publikováno v:
The Journal of Arthroplasty. 37:1951-1955
There are 3 common variable types in orthopedic research-confounders, colliders, and mediators. All 3 types of variables are associated with both the exposure (eg, surgery type, implant type, body mass index) and outcome (eg, complications, revision
Autor:
Isabella Zaniletti, Katrina L. Devick, Dirk R. Larson, David G. Lewallen, Daniel J. Berry, Hilal Maradit Kremers
Publikováno v:
The Journal of Arthroplasty. 37:1956-1960
Datasets available for orthopedic research often contain measurement and misclassification errors due to errors in data collection or missing data. These errors can have different effects on the study results. Measurement error refers to inaccurate m