A5061941057- Bone health and osteoporosis research
- Hip and Femur Fractures
- Genetic Associations and Epidemiology
- Bone Metabolism and Diseases
- Bone health and treatments
- Hip disorders and treatments
- Nutrition and Health in Aging
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Health and Mental Health
- Meta-analysis and systematic reviews
- Bladder and Urothelial Cancer Treatments
- Rheumatoid Arthritis Research and Therapies
- Colorectal Cancer Screening and Detection
- Radiation Dose and Imaging
- Folate and B Vitamins Research
- Medical Imaging Techniques and Applications
- Systemic Lupus Erythematosus Research
- COVID-19 and healthcare impacts
- Stroke Rehabilitation and Recovery
- Musculoskeletal pain and rehabilitation
- Advanced X-ray and CT Imaging
- Statistical Methods in Epidemiology
- Reliability and Agreement in Measurement
- Cardiac Imaging and Diagnostics
- COVID-19 and Mental Health
The Ohio State University
2022-2025
The Ohio State University Wexner Medical Center
2025
Raffles Institution
2024
National University Hospital
2010-2022
University of Nevada, Las Vegas
2016-2022
China Pharmaceutical University
2022
Soochow University
2012-2022
Affiliated Hospital of North Sichuan Medical College
2022
Chongqing Medical University
2011-2021
China International Science and Technology Cooperation
2021
The purpose of this article is to retrospectively compare radiation dose, noise, and image quality abdominal low-dose CT reconstructed with adaptive statistical iterative reconstruction (ASIR) routine-dose filtered back projection (FBP).Fifty-three patients (37 men 16 women; mean age, 60.8 years) underwent contrast-enhanced 40% ASIR. All 53 had previously undergone FBP. With the scanning techniques masked, two radiologists independently graded images for sharpness, diagnostic acceptability,...
This study presents an innovative ensemble machine learning model integrating genomic and clinical data to enhance the prediction of major osteoporotic fractures in older men. The Super Learner (SL) achieved superior performance (AUC = 0.76, accuracy 95.6%, sensitivity 94.5%, specificity 96.1%) compared individual models. Ensemble improves fracture accuracy, demonstrating potential for personalized osteoporosis management. Existing risk models have limitations their data. developed validated...
Reducing the Radiation Dose for CT Colonography Using Adaptive Statistical Iterative Reconstruction: A Pilot StudyKristina T. Flicek1, Amy K. Hara1, Alvin C. Silva1, Qing Wu2, Mary B. Peter1 and Daniel Johnson1Audio Available | Share
Cystoscopy is considered the gold standard for clinical diagnosis of human bladder cancer (BC). As cystoscopy expensive and invasive, it may compromise patients' compliance account failure in detecting recurrent BC some patients. In this paper, we investigated role urinary metabonomics BC. Gas chromatography/time-of-flight mass spectrometry was applied metabolic profiling 24 patients 51 non-BC controls. The acquired data were analyzed using multivariate principal component analysis followed...
The etiology and optimal treatment are unknown for angiosarcoma, an aggressive malignant tumor that affects vascular endothelial cells can be mistaken benign lesions such as hemangioma.To determine the outcomes of patients with angiosarcoma face or scalp treated a combination surgery, radiation therapy, and/or chemotherapy.Retrospective study 55 between January 1, 1973, December 31, 2012, at tertiary-care academic medical institution.Surgery, chemotherapy.Locoregional control (LRC),...
Rheumatoid arthritis (RA) trends among US adults and disparities in RA patients recent years have not been well described. We aimed to examine the trend of prevalence adults. Data from National Health Nutrition Examination Survey (NHANES) 2005–2018 were analyzed self-reported trend. Age-adjusted stratified by race/ethnicity socioeconomic status (SES), as associated linear trends, calculated for both genders. The multivariable adjustment was used evaluate association between race, SES, RA....
Genetic factors contribute to 60-70% of the variability in rheumatoid arthritis (RA). However, few studies have used genetic variants predict RA risk. This study aimed enhance risk prediction by leveraging single nucleotide polymorphisms (SNPs) through machine-learning algorithms, utilizing Women’s Health Initiative data. We developed four predictive models: 1) based on common factors, 2) model 1 incorporating polygenic scores (PRS) with principal components, 3) and SNPs after feature...
Background and Purpose— Telestroke reduces acute stroke care disparities between urban centers rural hospitals. Current technologies used to conduct remote patient assessments have high start-up costs, yet they cannot consistently establish quality timely connections. Smartphones can be for high-quality video teleconferencing. They are inexpensive ubiquitous among health providers. We aimed study the reliability of teleconferencing using smartphones conducting National Institutes Health...
Abstract Community-acquired pneumonia (CAP) often results in severe illness and death. In large, geographically defined areas where Coccidioides spp. are endemic, coccidioidomycosis is a recognized cause of CAP, but its frequency has not been studied extensively. To determine the patients with coccidioidomycosis, we conducted prospective evaluation 59 CAP Phoenix, Arizona, area. Of 35 for whom paired coccidioidal serologic testing was performed, 6 (17%) had evidence acute coccidioidomycosis....
Background: Medical Nursing is one of the most important core courses in nursing education, and emergence flipped classroom has made up for shortcomings traditional teaching improved effectiveness teaching. However, it worth exploring how to maximize effect students’ self-study before class while making full use promote cultivation abilities, so that can have a maximal effect. Therefore, this study explored flipped-classroom mode based on small private online course (SPOC) combined with...
Abstract This study aimed to enhance the fracture risk prediction accuracy in major osteoporotic fractures (MOFs) and hip (HFs) by integrating genetic profiles, machine learning (ML) techniques, Bayesian optimization. The score (GRS), derived from 1,103 single nucleotide polymorphisms (SNPs) genome-wide association studies (GWAS), was formulated for 25,772 postmenopausal women Women's Health Initiative dataset. We developed four ML models: Support Vector Machine (SVM), Random Forest,...
Abstract Studies reporting trends and disparities of osteoarthritis (OA) in the United States are limited. We aimed to examine OA prevalence among US adults, from 2005 2018. Continuous National Health Nutrition Examination Survey (NHANES) data 2005–2006 2017–2018 were analyzed. Age-adjusted self-reported prevalence, stratified by race/ethnicity socioeconomic status (SES), was calculated separately for men women. The linear trend association between survey cycles assessed. linearly increased...
Abstract This study aimed to examine how bone health changed among T2DM patients in the past decade. Continuous National Health and Nutrition Examination Survey (NHANES) data from 2005–2006 2013–2014 were analyzed trends of mineral density (BMD) prevalence osteoporosis osteopenia non-diabetic people aged 40 years older. The age- BMI-adjusted mean BMD femur neck for four NHANES cycles decreased linearly both (both P linear trend ≤ 0.009). Among women with T2DM, was significantly lower than...
Reports are published in Health Technology Assessment (HTA) if (1) they have resulted from work for the HTA programme, and (2) of a sufficiently high scientific