A5028377164- Health Systems, Economic Evaluations, Quality of Life
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Global Political and Economic Relations
- Prostate Cancer Treatment and Research
- Gene expression and cancer classification
- Ecology and Conservation Studies
- Prostate Cancer Diagnosis and Treatment
- Economic and Financial Impacts of Cancer
- Medical Research and Treatments
- Global Cancer Incidence and Screening
- BRCA gene mutations in cancer
- Breast Cancer Treatment Studies
- Statistical Methods in Clinical Trials
- Electronic Health Records Systems
- Clinical practice guidelines implementation
- Neural Networks and Applications
- Bioinformatics and Genomic Networks
- Genetic factors in colorectal cancer
- Innovations in Medical Education
- HER2/EGFR in Cancer Research
- Social and Behavioral Studies
- Medication Adherence and Compliance
- Colorectal Cancer Screening and Detection
- Cancer Genomics and Diagnostics
Uniformed Services University of the Health Sciences
2015-2024
University of Pittsburgh Medical Center
2022-2024
John Wiley & Sons (United States)
2019-2021
Hudson Institute
2019-2021
New Mexico Cancer Center
2021
University of New Mexico
2021
UNM Comprehensive Cancer Center
2021
Emory University
2021
City of Hope
2021
The University of Texas MD Anderson Cancer Center
2020
BACKGROUND The TNM staging system originated as a response to the need for an accurate, consistent, universal cancer outcome prediction system. Since was introduced in 1950s, new prognostic factors have been identified and methods integrating developed. This study compares accuracy of with that artificial neural network statistical models. METHODS For 5-year survival patients breast or colorectal carcinoma, authors compared system's predictive networks (ANN). area under receiver operating...
In this study, we evaluated the accuracy of a neural network in predicting 5-, 10- and 15-year breast-cancer-specific survival. A series 951 breast cancer patients was divided into training set 651 validation 300 patients. Eight variables were entered as input to network: tumor size, axillary nodal status, histological type, mitotic count, nuclear pleomorphism, tubule formation, necrosis age. The area under ROC curve (AUC) used measure prediction models generating survival estimates for...
The outpatient clinical note documents the clinician's information collection, problem assessment, and patient management, yet there is currently no validated instrument to measure quality of electronic note. This study evaluated validity QNOTE instrument, which assesses 12 elements in note, for measuring notes. It also compared its performance with a global that as whole.
Abstract Background and objective The clinical note documents the clinician's information collection, problem assessment, management, its used for administrative purposes. Electronic health records (EHRs) are being implemented in practices throughout USA yet it is not known whether they improve quality of notes. goal this study was to determine if EHRs outpatient Materials methods A five a half year longitudinal retrospective multicenter quantitative comparing handwritten electronic visit...
Abstract Background Teaching medical students the skills required to acquire, interpret, apply, and communicate clinical information is an integral part of education. A crucial aspect this process involves providing with feedback regarding quality their free-text notes. Objective The goal study was assess ability ChatGPT 3.5, a large language model, score students’ history physical Methods This single-institution, retrospective study. Standardized patients learned prespecified case and,...
Objective motor skill assessment plays a critical role in fields such as surgery, where proficiency is vital for certification and patient safety. Existing methods, however, rely heavily on subjective human judgment, which introduces bias limits reproducibility. While recent efforts have leveraged kinematic data neural imaging to provide more objective evaluations, these approaches often overlook the dynamic mechanisms that differentiate expert novice performance. This study proposes novel...
Motor skill acquisition in fields like surgery, robotics, and sports involves learning complex task sequences through extensive training. Traditional performance metrics, execution time error rates, offer limited insight as they fail to capture the neural mechanisms underlying retention. This study introduces directed functional connectivity (dFC), derived from electroencephalography (EEG), a novel brain-based biomarker for assessing motor For first time, dFC is applied map stages of Fitts...
Abstract Major depressive disorder (MDD) is associated with a significantly elevated risk of developing serious medical illnesses such as cardiovascular disease, immune impairments, infection, dementia and premature death. Previous work has demonstrated dysregulation in subjects MDD. Using genome-wide transcriptional profiling promoter-based bioinformatic strategies, we assessed leukocyte transcription factor (TF) activity leukocytes from 20 unmedicated MDD versus age-, sex-...
Abstract BRCA + breast cancer patients face high risk for a second and ovarian cancer. Helping these women decide among risk‐reducing options requires effectively conveying complex, emotionally‐laden, information. To support their decision‐making needs, we developed web‐based decision aid (DA) as an adjunct to genetic counseling. Phase 1 used focus groups determine needs. These findings the Ottawa Decision Support Framework guided DA development. 2 involved nine of four stakeholder types (...
BACKGROUND Screening and surveillance is increasing the detection of early stage breast carcinoma. The ability to predict accurately response adjuvant therapy (chemotherapy or tamoxifen therapy) postlumpectomy radiation in these patients can be vital their survival, because this prediction determines best postsurgical for each patient. METHODS This study evaluated data from 226 with TNM Stage I II carcinoma included variables p53 c-erbB-2 (HER-2/neu). area under receiver operating...
Hyperinsulinemia, a manifestation of insulin resistance, precursor non-insulin dependent diabetes mellitus (NIDDM) and the hallmark Syndrome X was assessed in 27 obese post-menopausal women. Insulin-like growth factor binding protein-1 (IGFBP-1), which had been shown previously to correlate inversely with animal human studies, evaluated as diagnostic marker for abnormal glucose stimulated area under curve (AUC) (defined priori > or = 100 microU/ml). We performed analysis variance logistic...
Statistical problems in modelling causal relationships estimating linear parameters using additional information admissibility and improvements of the generalized least squares estimator testing hypotheses confidence regions for regression functions Bayesian methods structural inference experimental design methods.
Background: It is estimated that 20%–40% of advanced medical imaging in the United States unnecessary, resulting patient overexposure to radiation and increasing cost care. Previous utilization studies have focused on clinical appropriateness. An important contributor excessive use may be a physician "knowledge gap" regarding safety tests. Objectives: To determine whether information will change image decision making. Research Design: Double-blinded, randomized controlled trial. Following...