Ryan Hoffman
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The Burden of Shoulder and Elbow Injuries in Wrestling: A Systematic Review of Incidence, Injury Types, and Competition-Level Comparisons Open
Context: Wrestling is a physically demanding sport that places athletes at a high risk of musculoskeletal injuries, particularly to shoulder and elbow joints. Objective: This study summarizes published data on shoulder and elbow injuries i…
The modified manes: a novel shoulder reduction maneuver Open
There is a myriad of shoulder reduction techniques documented in literature with no singular technique demonstrating superiority over the others. In this technique guide, we demonstrate a modification to the existing Manes technique. The s…
Assessing information provided via artificial intelligence regarding distal biceps tendon repair surgery Open
Purpose The purpose of this study was to analyze the quality, accuracy, reliability and readability of information provided by an Artificial Intelligence (AI) model ChatGPT (Open AI, San Francisco) regarding Distal Biceps Tendon repair sur…
Induced seismicity in Kansas: Events and responses Open
In September 2013, seismicity suddenly increased in south-central Kansas. That increase was eventually traced to wastewater injection associated with oil exploration and production, including a new wave of horizontal drilling. In response …
PATIENT PERSPECTIVES OF BOWEL URGENCY AND BOWEL URGENCY-RELATED ACCIDENTS IN ULCERATIVE COLITIS Open
OBJECTIVE This study aimed to explore the Ulcerative Colitis (UC) patient experience of Bowel Urgency (BU) and BU-related accidents to identify what is most relevant and important to patients. METHODS Patients in the US were eligible to pa…
Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics Open
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical for public health, especially during the COVID-19 pandemic, as institutions and g…
Project RISE: Recognizing Industrial Smoke Emissions Open
Industrial smoke emissions pose a significant concern to human health. Prior works have shown that using Computer Vision (CV) techniques to identify smoke as visual evidence can influence the attitude of regulators and empower citizens to …
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation Open
Each year there are nearly 57 million deaths around the world, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical in public health, as institutions and government agencies rely on death re…
Project RISE: Recognizing Industrial Smoke Emissions Open
Industrial smoke emissions pose a significant concern to human health. Prior works have shown that using Computer Vision (CV) techniques to identify smoke as visual evidence can influence the attitude of regulators and empower citizens to …
RISE Video Dataset: Recognizing Industrial Smoke Emissions Open
Industrial smoke emissions pose a significant concern to human health. Prior works have shown that using Computer Vision (CV) techniques to identify smoke as visual evidence can influence the attitude of regulators and empower citizens to …
Hybrid Modeling of Ebola Propagation Open
The Ebola virus disease (EVD) epidemic that occurred in West Africa between 2014-16 resulted in over 28,000 cases and 11,000 deaths - one of the deadliest to date. A generalized model of the spatiotemporal progression of EVD for Liberia, G…
Improving Validity of Cause of Death on Death Certificates Open
Accurate reporting of causes of death on death certificates is essential to formulate appropriate disease control, prevention and emergency response by national health-protection institutions such as Center for disease prevention and contr…
Intelligent Mortality Reporting With FHIR Open
One pressing need in the area of public health is timely, accurate, and complete reporting of deaths and the diseases or conditions leading up to them. Fast Healthcare Interoperability Resources (FHIR) is a new HL7 interoperability standar…
Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout Open
Cardiac allograft rejection is one major limitation for long-term survival for patients with heart transplants. The endomyocardial biopsy is one gold standard to screen heart rejection for patients that have heart transplantation. However,…
Intelligent mortality reporting with FHIR Open
One pressing need in the area of public health is timely, accurate, and complete reporting of deaths and the conditions leading up to them. Fast Healthcare Interoperability Resources (FHIR) is a new HL7 interoperability standard for electr…
–Omic and Electronic Health Record Big Data Analytics for Precision Medicine Open
Big data analytics makes sense of -omic and EHR data to improve healthcare outcome. It has long lasting societal impact.
Integration of multi-modal biomedical data to predict cancer grade and patient survival Open
The Big Data era in Biomedical research has resulted in large-cohort data repositories such as The Cancer Genome Atlas (TCGA). These repositories routinely contain hundreds of matched patient samples for genomic, proteomic, imaging, and cl…