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Articles 1 - 30 of 30
Full-Text Articles in Diagnosis
Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon
Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon
Physical Therapy Faculty Articles and Research
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Physical Therapy Faculty Articles and Research
Introduction:
Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.
Aim:
Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.
Methods:
Despite challenges in …
Using Digital Assessment Technology To Detect Neuropsychological Problems In Primary Care Settings, David J Libon, Emily Frances Matusz, Stephanie Cosentino, Catherine C Price, Rod Swenson, Meagan Vermeulen, Terrie Beth Ginsberg, Adaora Obiageli Okoli-Umeweni, Leonard Powell, Robert Nagele, Sean Tobyne, Joyce Rios Gomes-Osman, Alvaro Pascual-Leone
Using Digital Assessment Technology To Detect Neuropsychological Problems In Primary Care Settings, David J Libon, Emily Frances Matusz, Stephanie Cosentino, Catherine C Price, Rod Swenson, Meagan Vermeulen, Terrie Beth Ginsberg, Adaora Obiageli Okoli-Umeweni, Leonard Powell, Robert Nagele, Sean Tobyne, Joyce Rios Gomes-Osman, Alvaro Pascual-Leone
Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship
INTRODUCTION: Screening for neurocognitive impairment and psychological distress in ambulatory primary and specialty care medical settings is an increasing necessity. The Core Cognitive Evaluation™ (CCE) is administered/scored using an iPad, requires approximately 8 min, assesses 3- word free recall and clock drawing to command and copy, asks questions about lifestyle and health, and queries for psychological distress. This information is linked with patients' self- reported concerns about memory and their cardiovascular risks.
METHODS: A total of 199 ambulatory patients were screened with the CCE as part of their routine medical care. The CCE provides several summary indices, and scores on …
Digital 3d Brain Mri Arterial Territories Atlas, Chin-Fu Liu, Johnny Hsu, Xin Xu, Ganghyun Kim, Shannon M. Sheppard, Erin L. Meier, Michael I. Miller, Argye E. Hillis, Andreia V. Faria
Digital 3d Brain Mri Arterial Territories Atlas, Chin-Fu Liu, Johnny Hsu, Xin Xu, Ganghyun Kim, Shannon M. Sheppard, Erin L. Meier, Michael I. Miller, Argye E. Hillis, Andreia V. Faria
Communication Sciences and Disorders Faculty Articles and Research
The locus and extent of brain damage in the event of vascular insult can be quantitatively established quickly and easily with vascular atlases. Although highly anticipated by clinicians and clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We created a digital arterial territory atlas based on lesion distributions in 1,298 patients with acute stroke. The lesions were manually traced in the diffusion-weighted MRIs, binary stroke masks were mapped to a common space, probability maps of lesions were generated and the boundaries for each arterial territory was defined based on the ratio between probabilistic maps. …
Testicular Adrenal Rest Tumors In A Patient With Congenital Adrenal Hyperplasia, Su-Yuan Yu Bs, Kelly Freed Md
Testicular Adrenal Rest Tumors In A Patient With Congenital Adrenal Hyperplasia, Su-Yuan Yu Bs, Kelly Freed Md
Department of Radiology & Diagnostic Medical Imaging
No abstract provided.
Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead
Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead
Engineering Faculty Articles and Research
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …
The Need For A Sepsis Screening Tool In An Outpatient Facility, Michael C. Ciccarone
The Need For A Sepsis Screening Tool In An Outpatient Facility, Michael C. Ciccarone
Graduate Publications and Other Selected Works - Doctor of Nursing Practice (DNP)
Sepsis is an exaggerated inflammatory response generated by the immune system secondary to the presence of septicemia, or pathogens within the bloodstream. An average of 270,000 individuals die from sepsis each year, while a total of 1.7 million cases occur annually. Research has shown that the early identification of sepsis prior to hospital admission is associated with decreased lengths of stay, hospital-associated costs, and overall mortality. To demonstrate this research, 26 healthcare staff members in an outpatient clinic were provided with a pre-survey, qSOFA sepsis screening tool, and a post survey to determine if these materials
increased participant confidence when …
The Potential Of Raman Spectroscopy In The Diagnosis Of Dysplastic And Malignant Oral Lesions, Ola Ibrahim, M. Toner, Steven Flint, Hugh Byrne, Fiona Lyng
The Potential Of Raman Spectroscopy In The Diagnosis Of Dysplastic And Malignant Oral Lesions, Ola Ibrahim, M. Toner, Steven Flint, Hugh Byrne, Fiona Lyng
Articles
Early diagnosis, treatment and/or surveillance of oral premalignant lesions are important in preventing progression to oral squamous cell carcinoma (OSCC). The current gold standard is through histopathological diagnosis, which is limited by inter and intra observer and sampling errors. The objective of this work was to use Raman spectroscopy to discriminate between benign, mild, moderate and severe dysplasia and OSCC in formalin fixed paraffin preserved (FFPP) tissues. The study included 72 different pathologies from which 17 were benign lesions, 20 mildly dysplastic, 20 moderately dysplastic, 10 severely dysplastic and 5 invasive OSCC. The glass substrate and paraffin wax background were …
Biomedical Applications Of Vibrational Spectroscopy: Oral Cancer Diagnostics, Hugh Byrne, Isha Behl, Genecy Calado, Ola Ibrahim, M. Toner, Sheila Galvin, Claire M. Healy, Steven Flint, Fiona Lyng
Biomedical Applications Of Vibrational Spectroscopy: Oral Cancer Diagnostics, Hugh Byrne, Isha Behl, Genecy Calado, Ola Ibrahim, M. Toner, Sheila Galvin, Claire M. Healy, Steven Flint, Fiona Lyng
Articles
Vibrational spectroscopy, based on either infrared absorption or Raman scattering, has attracted increasing attention for biomedical applications. Proof of concept explorations for diagnosis of oral potentially malignant disorders and cancer are reviewed, and recent advances critically appraised. Specific examples of applications of Raman microspectroscopy for analysis of histological, cytological and saliva samples are presented for illustrative purposes, and the future prospects, ultimately for routine, chairside in vivo screening are discussed.
Diagnostic Accuracy Of Mcmurry’S Test In The Diagnosis Of Meniscal Tears, Jessica Smyth, Hartwell Rainey
Diagnostic Accuracy Of Mcmurry’S Test In The Diagnosis Of Meniscal Tears, Jessica Smyth, Hartwell Rainey
Physician Assistant Capstones, 2020-current
No abstract provided.
Mechanical Thrombectomy For Acute Ischemic Stroke In The Cardiac Catheterization Laboratory., Steven A Guidera, Sudhir Aggarwal, J Doyle Walton, David Boland, Roy Jackel, Jeffrey D Gould, Brooke Kearins, Joseph Mcgarvey, Yan Qi, Brian Furlong
Mechanical Thrombectomy For Acute Ischemic Stroke In The Cardiac Catheterization Laboratory., Steven A Guidera, Sudhir Aggarwal, J Doyle Walton, David Boland, Roy Jackel, Jeffrey D Gould, Brooke Kearins, Joseph Mcgarvey, Yan Qi, Brian Furlong
Department of Radiology & Diagnostic Medical Imaging
OBJECTIVES: The aim of this study was to determine the feasibility of establishing a mechanical thrombectomy (MT) program for acute ischemic stroke in a community hospital using interventional cardiologists working closely with neurologists.
BACKGROUND: American Heart Association/American Stroke Association 2018 guidelines give a Class I (Level of Evidence: A) recommendation for MT in eligible patients with large vessel occlusion stroke. Improvement in neurological outcomes with MT is highly time sensitive. Most hospitals do not have trained neurointerventionalists to perform MT, leading to treatment delays that reduce the benefit of reperfusion therapy.
METHODS: An MT program based in the cardiac catheterization …
Development Of Gaussian Learning Algorithms For Early Detection Of Alzheimer's Disease, Chen Fang
Development Of Gaussian Learning Algorithms For Early Detection Of Alzheimer's Disease, Chen Fang
FIU Electronic Theses and Dissertations
Alzheimer’s disease (AD) is the most common form of dementia affecting 10% of the population over the age of 65 and the growing costs in managing AD are estimated to be $259 billion, according to data reported in the 2017 by the Alzheimer's Association. Moreover, with cognitive decline, daily life of the affected persons and their families are severely impacted. Taking advantage of the diagnosis of AD and its prodromal stage of mild cognitive impairment (MCI), an early treatment may help patients preserve the quality of life and slow the progression of the disease, even though the underlying disease cannot …
Us Guided Management Of Undifferentiated Dyspneic Patient In The Ed, Kaleigh Miller
Us Guided Management Of Undifferentiated Dyspneic Patient In The Ed, Kaleigh Miller
Longitudinal Scholar's Project
Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/asthma patient differentiation will be the focus.
Methods: Prospective cohort study of …
Optimal Multi-Stage Arrhythmia Classification Approach, Jianwei Zhang, Huimin Chu, Daniele Struppa, Jianming Zhang, Sir Magdi Yacoub, Hesham El-Askary, Anthony Chang, Louis Ehwerhemuepha, Islam Abudayyeh, Alexander Barrett, Guohua Fu, Hai Yao, Dongbo Li, Hangyuan Guo, Cyril Rakovski
Optimal Multi-Stage Arrhythmia Classification Approach, Jianwei Zhang, Huimin Chu, Daniele Struppa, Jianming Zhang, Sir Magdi Yacoub, Hesham El-Askary, Anthony Chang, Louis Ehwerhemuepha, Islam Abudayyeh, Alexander Barrett, Guohua Fu, Hai Yao, Dongbo Li, Hangyuan Guo, Cyril Rakovski
Mathematics, Physics, and Computer Science Faculty Articles and Research
Arrhythmia constitutes a problem with the rate or rhythm of the heartbeat, and an early diagnosis is essential for the timely inception of successful treatment. We have jointly optimized the entire multi-stage arrhythmia classification scheme based on 12-lead surface ECGs that attains the accuracy performance level of professional cardiologists. The new approach is comprised of a three-step noise reduction stage, a novel feature extraction method and an optimal classification model with finely tuned hyperparameters. We carried out an exhaustive study comparing thousands of competing classification algorithms that were trained on our proprietary, large and expertly labeled dataset consisting of 12-lead …
A 12-Lead Electrocardiogram Database For Arrhythmia Research Covering More Than 10,000 Patients, Jianwei Zhang, Jianming Zhang, Sidy Daniako, Hai Yao, Hangyuan Guo, Cyril Rakovski
A 12-Lead Electrocardiogram Database For Arrhythmia Research Covering More Than 10,000 Patients, Jianwei Zhang, Jianming Zhang, Sidy Daniako, Hai Yao, Hangyuan Guo, Cyril Rakovski
Mathematics, Physics, and Computer Science Faculty Articles and Research
This newly inaugurated research database for 12-lead electrocardiogram signals was created under the auspices of Chapman University and Shaoxing People’s Hospital (Shaoxing Hospital Zhejiang University School of Medicine) and aims to enable the scientific community in conducting new studies on arrhythmia and other cardiovascular conditions. Certain types of arrhythmias, such as atrial fibrillation, have a pronounced negative impact on public health, quality of life, and medical expenditures. As a non-invasive test, long term ECG monitoring is a major and vital diagnostic tool for detecting these conditions. This practice, however, generates large amounts of data, the analysis of which requires considerable …
Pediatric Chest X-Rays, Liam Du Preez
Pediatric Chest X-Rays, Liam Du Preez
Larner College of Medicine Fourth Year Advanced Integration Teaching/Scholarly Projects
Chest Radiographs are the most commonly ordered diagnostic image in the pediatric population. These images are encountered often in both the early medical school curriculum and outside in the clinical setting. This module was generated with the goals of giving a framework for approaching pediatric chest x-rays, as well as showcasing common radiographic findings, both normal and pathologic.
Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre
Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre
Honors Scholar Theses
Abnormal ocular motility is a common manifestation of many underlying pathologies particularly those that are neurological. Dynamics of saccades, when the eye rapidly changes its point of fixation, have been characterized for many neurological disorders including concussions, traumatic brain injuries (TBI), and Parkinson’s disease. However, widespread saccade analysis for diagnostic and research purposes requires the recognition of certain eye movement parameters. Key information such as velocity and duration must be determined from data based on a wide set of patients’ characteristics that may range in eye shapes and iris, hair and skin pigmentation [36]. Previous work on saccade analysis has …
The Chapman Bone Algorithm: A Diagnostic Alternative For The Evaluation Of Osteoporosis, Elise Levesque, Anton Ketterer, Wajiha Memon, Cameron James, Noah Barrett, Cyril Rakovski, Frank Frisch
The Chapman Bone Algorithm: A Diagnostic Alternative For The Evaluation Of Osteoporosis, Elise Levesque, Anton Ketterer, Wajiha Memon, Cameron James, Noah Barrett, Cyril Rakovski, Frank Frisch
Mathematics, Physics, and Computer Science Faculty Articles and Research
Osteoporosis is the most common metabolic bone disease and goes largely undiagnosed throughout the world, due to the inaccessibility of DXA machines. Multivariate analyses of serum bone turnover markers were evaluated in 226 Orange County, California, residents with the intent to determine if serum osteocalcin and serum pyridinoline cross-links could be used to detect the onset of osteoporosis as effectively as a DXA scan. Descriptive analyses of the demographic and lab characteristics of the participants were performed through frequency, means and standard deviation estimations. We implemented logistic regression modeling to find the best classification algorithm for osteoporosis. All calculations and …
Alzheimer’S Disease: Dawn Of A New Era?, Farideh Amirrad, Emira Bousoik, Kiumars Shamloo, Hassan Al-Shiyab, Viet-Hong Nguyen, Hamidreza Montazeri Aliabadi
Alzheimer’S Disease: Dawn Of A New Era?, Farideh Amirrad, Emira Bousoik, Kiumars Shamloo, Hassan Al-Shiyab, Viet-Hong Nguyen, Hamidreza Montazeri Aliabadi
Pharmacy Faculty Articles and Research
Alzheimer’s disease (AD) is an irreversible neurodegenerative disease characterized by a progressive decline in cognition and memory, leading to significant impairment in daily activities and ultimately death. It is the most common cause of dementia, the prevalence of which increases with age; however, age is not the only predisposing factor. The pathology of this cognitive impairing disease is still not completely understood, which has limited the development of valid therapeutic options. Recent years have witnessed a wide range of novel approaches to combat this disease, so that they greatly increased our understanding of the disease and of the unique drug …
Abuela, Anne Walsh
Abuela, Anne Walsh
Physician Assistant Studies Faculty Articles and Research
"How could I, the student admitting this patient on behalf of the attending physician, ever identify and address her medical issues if we couldn't effectively communicate? How could I help her understand the medications, consultations, tests, and procedures she'd receive, not to mention the grueling regimen of daily physical therapy, occupational therapy, speech and swallowing therapy, counseling psychology, and social work sessions?"
Associations Between Modifiable Health-Risk Behaviors And Personality Types, Jon C. Schommer, Paul D. Tieger, Anthony W. Olson, Lawrence M. Brown
Associations Between Modifiable Health-Risk Behaviors And Personality Types, Jon C. Schommer, Paul D. Tieger, Anthony W. Olson, Lawrence M. Brown
Pharmacy Faculty Articles and Research
Objectives: The first objective for this study was to explore if characteristics of personality type (using the Preferred Communication Style Questionnaire) are associated with the following modifiable health-risk behaviors: smoking, exercise, alcohol consumption, nutrition, sleep, depression-related stress, anxiety-related stress, healthcare professional usage, and self-discipline. The second objective for this study was to explore if characteristics of personality type are associated with (1) the quality of patient-physician relationships, (2) patient-physician communication, and (3) preferred method for receiving information.
Methods: Data were collected from 10,500 adult individuals residing in the United States via an on-line, self-administered survey coordinated by Qualtrics …
Changing Diagnostic Methods And Increased Detection Of Verotoxigenic Escherichia Coli, Ireland, Thomas Rice, Noreen Quinn, Roy D. Sleator, Brigid Lucey
Changing Diagnostic Methods And Increased Detection Of Verotoxigenic Escherichia Coli, Ireland, Thomas Rice, Noreen Quinn, Roy D. Sleator, Brigid Lucey
Department of Biological Sciences Publications
The recent paradigm shift in infectious disease diagnosis from culture-based to molecular-based approaches is exemplified in the findings of a national study assessing the detection of verotoxigenic Escherichia coli infections in Ireland. The methodologic changes have been accompanied by a dramatic increase in detections of non-O157 verotoxigenic E. coli serotypes.
Is Ca-125 The Leading Biomarker In Determining Early-Onset Ovarian Cancer Diagnosis In 2016?, Alexa Clark
Is Ca-125 The Leading Biomarker In Determining Early-Onset Ovarian Cancer Diagnosis In 2016?, Alexa Clark
Senior Honors Projects
Epithelial ovarian cancer is the most lethal gynecologic malignancy with very ineffective efforts at early detection and therapeutic methodologies to reduce mortality. The origin and pathogenicity of ovarian cancer is vastly unclear, which is why diagnosing the disease early on is difficult. CA-125 is a used as therapeutic tumor marker for ovarian cancer, but it is not diagnostic or specific. The role of CA-125 in the early detection of ovarian cancer is extremely controversial and has not been widely accepted for screening in women who do not show any symptoms. In order to enhance the sensitivity for early disease detection …
18f-Fdg Pet/Ct Imaging Of Extranodal Rosai-Dorfman Disease With Hepatopancreatic Involvement - A Pictorial And Literature Review., Faiq A. Shaikh Md, Omer Awan Md, Mph, Sohaib A. Mohiuddin Md, Saleem Farooqui, Salman A. Khan, William Mccartney
18f-Fdg Pet/Ct Imaging Of Extranodal Rosai-Dorfman Disease With Hepatopancreatic Involvement - A Pictorial And Literature Review., Faiq A. Shaikh Md, Omer Awan Md, Mph, Sohaib A. Mohiuddin Md, Saleem Farooqui, Salman A. Khan, William Mccartney
Department of Radiology & Diagnostic Medical Imaging
We share our experience with serial PET/CT imaging on a patient with extranodal Rosai-Dorfman disease (RDD) with hepatopancreatic involvement. RDD is a benign proliferative disorder of histiocytes mainly involving the lymph nodes. It typically presents with fever and painless cervical lymphadenopathy in young adults and less than half of RDS cases demonstrate extranodal involvement. RDD involvement of the liver and pancreas is extremely rare, and this case highlights the role of PET/CT in its management.
Vibrational Microspectroscopy For Cancer Screening, Fiona Lyng, Ines Ramos, Ola Ibrahim, Hugh Byrne
Vibrational Microspectroscopy For Cancer Screening, Fiona Lyng, Ines Ramos, Ola Ibrahim, Hugh Byrne
Articles
Vibrational spectroscopy analyses vibrations within a molecule and can be used to characterise a molecular structure. Raman spectroscopy is one of the vibrational spectroscopic techniques, in which incident radiation is used to induce vibrations in the molecules of a sample, and the scattered radiation may be used to characterise the sample in a rapid and non-destructive manner. Infrared (IR) spectroscopy is a complementary vibrational spectroscopic technique based on the absorption of IR radiation by the sample. Molecules absorb specific frequencies of the incident light which are characteristic of their structure. IR and Raman spectroscopy are sensitive to subtle biochemical changes …
Raman Microspectroscopy For The Early Detection Of Pre-Malignant Changes In Cervical Tissue, Nosheen Rashid, Haq Nawaz, Kelvin W. Poon, Franck Bonnier, Salih Bakhiet, Cara Martin, John O'Leary, Hugh Byrne, Fiona Lyng
Raman Microspectroscopy For The Early Detection Of Pre-Malignant Changes In Cervical Tissue, Nosheen Rashid, Haq Nawaz, Kelvin W. Poon, Franck Bonnier, Salih Bakhiet, Cara Martin, John O'Leary, Hugh Byrne, Fiona Lyng
Articles
Cervical cancer is the third most common cancer affecting women worldwide. The mortality associated with cervical cancer can, however, be significantly reduced if the disease is detected at the pre-malignant stage. The aim of this study was to evaluate the potential of Raman microspectroscopy for elucidation of the biochemical changes associated with the pre-malignant stages of cervical cancer. Formalin fixed paraffin preserved tissue sections from cervical biopsies classified as negative for intraepithelial lesion and malignancy (NILM), low grade squamous intraepithelial lesion (LSIL) or high grade squamous intraepithelial lesion (HSIL) were analysed by Raman spectral mapping. Raman mapping, with K-Means Cluster …
Improving Access To Healthcare In New Orleans: An Up-To-Date Guide Of Free Or Low-Cost Clinics And Medication Assistance, Richard Brucker, Peggy Chehardy
Improving Access To Healthcare In New Orleans: An Up-To-Date Guide Of Free Or Low-Cost Clinics And Medication Assistance, Richard Brucker, Peggy Chehardy
Pediatrics Research and Scholarship
After Hurricane Katrina, New Orleans safety net, Charity Hospital, was closed. Numerous free or low-cost clinics opened around town. Yet homeless individuals still expressed a need for more free clinics, as they were unaware of the resources that already existed. In August 2007, the resources available were out-dated, inaccurate, and lacked information regarding cost of medical care. Upon verifying information, print guides were assembled and thousands of copies were dispersed to homeless individuals. A website, with both online and print guides, was created to address the difficult task of redistribution following guide updates. The master list is always available online, …
Introducing And Evaluating 3d Digital Breast Tomosynthesis, Marie Hrinkonich, Susan Steigerwalt
Introducing And Evaluating 3d Digital Breast Tomosynthesis, Marie Hrinkonich, Susan Steigerwalt
Department of Radiology & Diagnostic Medical Imaging
No abstract provided.
Biomedical Photoacoustic Imaging Using Gas-Coupled Laser Acoustic Detection, Jami Johnson
Biomedical Photoacoustic Imaging Using Gas-Coupled Laser Acoustic Detection, Jami Johnson
Student Research Initiative
Several detection methods have been explored for photoacoustic and ultrasound imaging of biological tissues. Piezoelectric transducers are commonly used, which require contact with the sample to be imaged and have limiting bandwidth characteristics. Interferometry detection exhibits improved bandwidth characteristics and resolution, yet generally require complicated optics and the incorporation of a contacting reflective medium. In this paper, we report the use of a noncontact photoacoustic imaging system that does not require the use of a reflective layer. A simple, robust technique known as gas-coupled laser acoustic detection is used, which has previously been applied to evaluation of composite materials. This …
A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Multiple Exposures, Joel D. Schipper, Douglas D. Dankel Ii, A. Antonio Arroyo, Jay L. Schauben
A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Multiple Exposures, Joel D. Schipper, Douglas D. Dankel Ii, A. Antonio Arroyo, Jay L. Schauben
Publications
Objective: This paper presents continued research toward the development of a knowledge-based system for the diagnosis of human toxic exposures. In particular, this research focuses on the challenging task of diagnosing exposures to multiple toxins. Although only 10% of toxic exposures in the United States involve multiple toxins, multiple exposures account for more than half of all toxin-related fatalities. Using simple medical mathematics, we seek to produce a practical decision support system capable of supplying useful information to aid in the diagnosis of complex cases involving multiple unknown substances.
Methods: The system is automatically trained using data mining …