Diagnosis Commons^™

Session 12: Active Learning To Minimize The Possible Risk From Future Epidemics, Kc Santosh

SDSU Data Science Symposium

In medical imaging informatics, for any future epidemics (e.g., Covid-19), deep learning (DL) models are of no use as they require a large dataset as they take months and even years to collect enough data (with annotations). In such a context, active learning (or human/expert-in-the-loop) is the must, where a machine can learn from the first day with minimum possible labeled data. In unsupervised learning, we propose to build pre-trained DL models that iteratively learn independently over time, where human/expert intervenes only when it makes mistakes and for only a limited data. In our work, deep features are used to …

Clinical Utility Of Neutrophil To Lymphocyte Ratio In Sickle Cell Disease With Vaso-Occlusive Crisis, Satish Maharaj, Simone Chang

Hematology/Oncology and Stem Cell Therapy

Background and objectives: The neutrophil-to-lymphocyte ratio represents a universally accessible value that correlates with inflammation and prognosis in several disease states; however, the role of this biomarker in sickle cell disease remains poorly explored. Hence, the objective of the present study was to determine its potential clinical utility in patients with sickle cell disease.

Patients: Herein, we retrospectively reviewed 143 patients with sickle cell disease who presented to the emergency department with fever and painful vaso-occlusive crisis.

Results: The examined cohort had a prevalence of 11% confirmed bacterial infection, with approximately two-thirds reporting the use of hydroxyurea. The neutrophil-to-lymphocyte ratio …

Three-Dimensional Evaluation Of The Mandibular Lingula On Cone-Beam Computed Tomographic Images In The Turkish Population, Zerrin Unal Erzurumlu, Damla Torul

Journal of Dentistry Indonesia

Objective: The purpose of this study was to provide morphometric and anatomical data for mandibular lingula (Li) in The Turkish population using three dimensional-cone beam computed tomography (3D-CBCT) images. Methods: CBCT images of the patients taken between July 2020 and March 2021, were retrieved from the archival records. A total of 100 Li’s of 50 patients who met the criteria of this study were evaluated. The distances between the tip of the Li and ramal landmarks/occlusal plane were measured and the shape of the Li was evaluated on 3D-CBCT images. Results: CBCT images of the 50 patients (19 males and …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Multi-Block Data Integration Analysis For Identifying And Validating Targeted N-Glycans As Biomarkers For Type Ii Diabetes Mellitus, Eric Adua, Ebenezer Afrifa-Yamoah, Emmanuel Peprah-Yamoah, Enoch Odame Anto, Emmanuel Acheampong, Kwaafo Akoto Awuah-Mensah, Wei Wang

Research outputs 2022 to 2026

Plasma N-glycan profiles have been shown to be defective in type II diabetes Mellitus (T2DM) and holds a promise to discovering biomarkers. The study comprised 232 T2DM patients and 219 healthy individuals. N-glycans were analysed by high-performance liquid chromatography. The multivariate integrative framework, DIABLO was employed for the statistical analysis. N-glycan groups (GPs 34, 32, 26, 31, 36 and 30) were significantly expressed in T2DM in component 1 and GPs 38 and 20 were related to T2DM in component 2. Four clusters were observed based on the correlation of the expressive signatures of the 39 N-glycans across T2DM and controls. …

Artificial Intelligence And The Situational Rationality Of Diagnosis: Human Problem-Solving And The Artifacts Of Health And Medicine, Michael W. Raphael

Publications and Research

What is the problem-solving capacity of artificial intelligence (AI) for health and medicine? This paper draws out the cognitive sociological context of diagnostic problem-solving for medical sociology regarding the limits of automation for decision-based medical tasks. Specifically, it presents a practical way of evaluating the artificiality of symptoms and signs in medical encounters, with an emphasis on the visualization of the problem-solving process in doctor-patient relationships. In doing so, the paper details the logical differences underlying diagnostic task performance between man and machine problem-solving: its principle of rationality, the priorities of its means of adaptation to abstraction, and the effects …

Classification Of Breast Cancer Histopathological Images Using Semi-Supervised Gans, Balaji Avvaru, Nibhrat Lohia, Sowmya Mani, Vijayasrikanth Kaniti

SMU Data Science Review

Breast cancer is diagnosed more frequently than skin cancer in women in the United States. Most breast cancer cases are diagnosed in women, while children and men are less likely to develop the disease. Various tissues in the breast grow uncontrollably, resulting in breast cancer. Different treatments analyze microscopic histopathology images for diagnosis that help accurately detect cancer cells. Deep learning is one of the evolving techniques to classify images where accuracy depends on the volume and quality of labeled images. This study used various pre-trained models to train the histopathological images and analyze these models to create a new …

The Impossible Situation? Impasse As Psychotherapeutic Paralysis, Possibility, And Progress, Leo Cancelmo

Dissertations, Theses, and Capstone Projects

Psychotherapeutic impasse has long been understood in the clinical literature as treatment stagnation and even failure, both from one-person and two-person psychodynamic perspectives. However, there is a dearth of empirical research that delves deeper to understand this complex and rich phenomenon. Using semi-structured interviews with nine psychodynamic therapists speaking about individual adult patients, this study examined experiences of impasse to better understand treatments that become embroiled in a kind of paralysis. Qualitative analyses revealed dyads where patients were conceptualized as struggling chronically with negative feelings about themselves and others, and who experienced traumatic personal histories. Impasse in and of itself …

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.

Investigating The Correlation Between Lpr & Obesity, Andrew S. Franklin Bs, Chad A. Nieri Bs, M. Boyd Gillespie Md

Longitudinal Scholar's Project

Objectives: To determine whether Drug-Induced Sleep Endoscopy (DISE) findings of Laryngopharyngeal Reflux (LPR) correlate with obesity, gender, Epworth Sleepiness scale, and OSA severity.

Study design: Single center retrospective cohort study.

Methods: Patients greater than 18 years of age who underwent DISE by one surgeon at a tertiary care center from July 2016 to July 2022 were included. DISE findings, patient characteristics, demographics, polysomnogram(s), and Epworth Sleepiness Scale(s) were extracted. Fisher’s exact test was used to compare categorical variables, and independent sample t-test was used to compare continuous variables. All statistical analyses were performed using IBM SPSS Statistics 28.

Results: …

How Valuable Are Clinical Neuropsychological Assessments? A Meta-Analysis Of Neuropsychological Tests With Comparison To Common Medical Tests And Treatments, Murphy N. Harrell

Theses and Dissertations

There has been a general decrease in neuropsychological assessments at a time when medical diagnostic technology and treatments have expanded, leading to a faulty assumption that medical tests and healthcare treatments provide more reliable or valid data than psychological assessments. A landmark report from the American Psychological Association’s (APA) Psychological Assessment Work Group (PAWG) found that validity coefficients for many psychological tests were indistinguishable from those of medical tests (Meyer et al., 2001). An updated systematic review of the advancement in neuropsychological testing is essential to the continued advancement of the value of neuropsychological assessment in healthcare. This meta-analysis sought …

Computer Aided Diagnosis System For Breast Cancer Using Deep Learning., Asma Baccouche

Electronic Theses and Dissertations

The recent rise of big data technology surrounding the electronic systems and developed toolkits gave birth to new promises for Artificial Intelligence (AI). With the continuous use of data-centric systems and machines in our lives, such as social media, surveys, emails, reports, etc., there is no doubt that data has gained the center of attention by scientists and motivated them to provide more decision-making and operational support systems across multiple domains. With the recent breakthroughs in artificial intelligence, the use of machine learning and deep learning models have achieved remarkable advances in computer vision, ecommerce, cybersecurity, and healthcare. Particularly, numerous …

Heart To Heart, Mom To Mom, Karis L. Tekwani

Journal of Patient-Centered Research and Reviews

This essay describes the human connection forged between two young moms, one the physician and one the patient, when their paths collided one night in the emergency department of a busy hospital. It describes a challenging and most memorable care experience in the career of a young emergency physician, the clinical outcome, and the patient’s appreciative follow-up message years later.

Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Delirium, a common and serious disorder in older hospitalized patients, remains underrecognized. While several delirium predictive models have been developed, only a handful have focused on electronic health record (EHR) data. This prospective cohort study of older inpatients (≥ 65 years old) aimed to determine if variables within our health system’s EHR could be used to identify delirium among hospitalized patients at the bedside. Trained researchers screened daily for delirium using the 3-minute diagnostic Confusion Assessment Method (3D-CAM). Patient demographic and clinical variables were extracted from the EHR. Among 408 participants, mean age was 75 years, 60.8% were female, and …

A Review Of The Pathogenesis, Clinical Features And Diagnostic Indicators Of The Novel Condition Vaccine-Induced Thrombotic Thrombocytopenia, Ada Fleming

International Undergraduate Journal of Health Sciences

The introduction of vaccination against SARS-CoV-2 infection was a welcome and significant event in the COVID-19 pandemic. While vaccine administration was for the most part successful, it did come with the emergence of a novel condition, Vaccine-Induced Thrombotic Thrombocytopenia (VITT). This condition presents after the administration of adenoviral vector-based vaccines against COVID-19, causing thrombocytopenia and thrombosis in affected individuals. There have been 10 suspected cases of VITT in Ireland. While its mechanism is not fully understood, the condition is characterised by the presence of Platelet Factor 4 (PF4) antibodies. There are several laboratory indicators which may suggest that a patient …

Gender Dysphoria Versus Acute Psychosis: Can One Properly Diagnose Gender Dysphoria Solely During Acute Psychosis?, Kristy A. Fisher, Samantha Scemla, Clara L. Alvarez Villalba, Jessica Kroin

HCA Healthcare Journal of Medicine

Gender dysphoria occurs when a discrepancy between one’s sex assigned at birth and one’s gender identity causes distress or impairment in function, which can lead ultimately to seeking treatment in the forms of psychotherapy, hormonal therapy, and/or gender-affirming surgery. Clinical care guidelines also recommend pharmacological treatment of psychiatric comorbidities if indicated. A review of the current literature demonstrates comorbidity between gender dysphoria and psychosis, including cases of gender dysphoria with schizophrenia and the occurrence of gender dysphoria symptoms during manic or psychotic episodes. The existing literature has yet to specifically examine gender dysphoria amongst individuals with schizoaffective disorder. The authors …

Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network models that attain exceptionally high levels of accuracy in complex tasks such as heart disease diagnoses and treatments. We investigate the use of ECGs as biometrics in human identification systems by implementing state-of-the-art deep learning models. We train convolutional neural network models on approximately 81k patients from the US, Germany and China. Currently, this is the largest research project on ECG identification. …

Association Between Leg Adiposity & Hypertension Subtypes In Young & Middle-Aged American Adults, David Lo, Aayush Visaria, Pranay Maniar

Stratford Campus Research Day

Our research aim was to determine the association between appendicular adiposity and hypertension to better elucidate the role of body fat distribution on blood pressure (BP).

Many studies have provided evidence for the inverse association between leg adiposity and metabolic syndrome criteria.

Hypertension (HT) subtypes have unique age distributions and associated risk factors. BMI ± triglycerides are major risk factors for isolated diastolic hypertension (IDH).

Complications Of Fitz-Hugh-Curtis Syndrome In A Teenage Female: A Case Presentation, Marina Cugliari, Trupti Pandit

Stratford Campus Research Day

Fitz-Hugh-Curtis Syndrome is a manifestation of Pelvic Inflammatory Disease (PID) associated with Chlamydia trachomatis infections and less frequently with Neisseria gonorrhea.

PID affects sexually active women (15-30 years old) and accounts for 750,000 cases each year.

The case presented illustrates a female who presented with a small bowel obstruction and appendicitis, who was incidentally found to have Fitz-Hugh-Curtis Syndrome on laparoscopic exam.

When Are Inpatient And Emergency Dermatology Consultations Appropriate?, Hershel Dobkin, Timothy Blackwell, Robin Ashinoff

Stratford Campus Research Day

Hospitalists and emergency physicians continue to struggle with the assessment of dermatologic conditions, often consulting dermatology whenever a patient has a “rash” or skin concern. Dermatology is still not emphasized in medical education and often is taught to most medical students in an abbreviated fashion, which results in physicians feeling ill-equipped to deal with any dermatologic condition—either mundane or potentially life-threatening.

Better guidelines are needed for physicians in the ED and on inpatient units to guide them on appropriate use of dermatologic consultation outside the ambulatory office and the clinic. We constructed a consultation flowchart to help guide the triage …