The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.

Purpose: To assess the ability of the Annalise Enterprise CXR Triage Trauma (Annalise AI Pty Ltd, Sydney, NSW, Australia) artificial intelligence model to identify vertebral compression fractures on chest radiographs and its potential to address undiagnosed osteoporosis and its treatment.

Materials And Methods: This retrospective study used a consecutive cohort of 596 chest radiographs from four US hospitals between 2015 and 2021. Each radiograph included both frontal (anteroposterior or posteroanterior) and lateral projections.

Correlates of HIV Testing Among Asian Immigrant Female Sex Workers in New York City and Los Angeles County.

This analysis examined correlates of HIV testing among Asian immigrant female sex workers in massage parlors. We interviewed 69 Chinese and Korean immigrant women who provided sexual services in massage parlors in New York City or Los Angeles County (2014-2016). Multivariable logistic regression results showed that participants who were younger, have lived in the U.

Evaluation of an Artificial Intelligence Model for Identification of Mass Effect and Vasogenic Edema on CT of the Head.

Background And Purpose: Mass effect and vasogenic edema are critical findings on CT of the head. This study compared the accuracy of an artificial intelligence model (Annalise Enterprise CTB) with consensus neuroradiologists' interpretations in detecting mass effect and vasogenic edema.

Materials And Methods: A retrospective stand-alone performance assessment was conducted on data sets of noncontrast CT head cases acquired between 2016 and 2022 for each finding.

Idiopathic Granulomatous Lobular Mastitis: A Mimicker of Inflammatory Breast Cancer.

Background: Idiopathic granulomatous lobular mastitis (IGLM) is a rare, chronic inflammatory breast disease without a known etiology. Even though the current literature proposes several treatment strategies, there is no universal consensus for long-term management.

Case Presentation: A 43-year-old White woman (gravida 5, para 4) presented with a 2-week history of right lower outer quadrant breast tenderness, heaviness, warmth, and redness.

Head CT deep learning model is highly accurate for early infarct estimation.

Non-contrast head CT (NCCT) is extremely insensitive for early (< 3-6 h) acute infarct identification. We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NCCT/MRI training patient pairs). The model substantially outperformed 3 expert neuroradiologists on a test set of 150 CT scans of patients who were potential candidates for thrombectomy (60 stroke-negative, 90 stroke-positive middle cerebral artery territory only infarcts), with sensitivity 96% (specificity 72%) for the model versus 61-66% (specificity 90-92%) for the experts; model infarct volume estimates also strongly correlated with those of diffusion MRI (r > 0.

Reporting Coronary Artery Calcium on Low-Dose Computed Tomography Impacts Statin Management in a Lung Cancer Screening Population.

Background: Cigarette smoking is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD). Concomitant use of low-dose computed tomography (LDCT) for coronary artery calcium (CAC) scoring with lung cancer screening (LCS) has been proposed to further determine ASCVD risk and mortality. We aimed to determine the validity of LDCT in identifying CAC and its impact on statin management.

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.

Importance: Early detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model could assist with earlier identification and improve care.

Objective: To compare the accuracy of an AI model vs consensus thoracic radiologist interpretations in detecting any pneumothorax (incorporating both nontension and tension pneumothorax) and tension pneumothorax.

Biological Magnetic Resonance Data Bank.

The Biological Magnetic Resonance Data Bank (BMRB, https://bmrb.io) is the international open data repository for biomolecular nuclear magnetic resonance (NMR) data. Comprised of both empirical and derived data, BMRB has applications in the study of biomacromolecular structure and dynamics, biomolecular interactions, drug discovery, intrinsically disordered proteins, natural products, biomarkers, and metabolomics.

Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT.

Background Adrenal masses are common, but radiology reporting and recommendations for management can be variable. Purpose To create a machine learning algorithm to segment adrenal glands on contrast-enhanced CT images and classify glands as normal or mass-containing and to assess algorithm performance. Materials and Methods This retrospective study included two groups of contrast-enhanced abdominal CT examinations (development data set and secondary test set).

Factors Influencing Recovery and Well-Being Among Asian Survivors of International Criminal Sex Trafficking in an Urban U.S. City.

Sex trafficking is serious form of gender-based violence that results in profound adverse health outcomes, yet one that is poorly understood. New York City is a major hub for sex trafficking, with a significant but unquantified number of victims originating from East Asian countries and trafficked via illicit massage businesses. Peer-reviewed studies among Asian survivors of international criminal sex trafficking do not exist.

Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.

Stroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. We developed a machine learning model that used the apparent diffusion coefficient and diffusion weighted imaging series.

Vertebral Osteomyelitis and Discitis: "Back" to Susceptibility Testing.

Genetic testing of anaerobic isolates can be important for proper antimicrobial stewardship to identify the appropriate narrow-spectrum treatment for a polymicrobial infection.

Where and why do illicit businesses cluster? Comparing sexually oriented massage parlors in Los Angeles County and New York City.

Immigrant-run sexually oriented massage parlors embody the intersection of important planning issues, including inequitable distribution of controversial land uses and economic functions of illicit businesses. We analyzed geocoded data from a ratings website to examine sexually oriented massage parlor clustering in Los Angeles County (LAC) and New York City (NYC). In LAC, clustering occurred in areas with more Asian and Hispanic residents.

Limited Use of Outpatient Stress Testing in Young Patients With Atypical Chest Pain.

Low prevalence of coronary artery disease within this population suggests that younger patients may not require stress testing for chest pain evaluations as long as pretest likelihood is low.

An Ambivalent Embrace: Service Needs and Gaps for Asian Immigrants in New Destinations.

Asian immigrants to the U.S. are settling in "new destinations," but there has been little research on their health care and social service needs.

Repeat Hospitalizations Predict Mortality in Patients With Heart Failure.

Introduction: Heart failure (HF) affects more than 5.1 million Americans and is projected to increase. Understanding the relationship between hospitalization and mortality can help to guide clinical management.

Embedded Mental Health: Promotion of Psychological Hygiene Within a Submarine Squadron.

Introduction: Psychological fitness is an important component to operational unit readiness and success. Embedding behavioral health providers can reduce unplanned personnel losses (UPL) as a result of psychological stress. The U.

Involving immigrant religious organizations in HIV/AIDS prevention: The role of bonding and bridging social capital.

Immigrant religious organizations in the United States are uniquely positioned to address critical issues beyond religion because of their moral, social and cultural prominence in community life. Increasingly, religious organizations have taken on a leadership role around health issues such as decreasing HIV/AIDS stigma and misinformation. However, there are barriers for some religious leaders and organizations in adopting new health programs, especially if the issue is seen as controversial.

The Health Experts onLine at Portsmouth (HELP) system: One-year review of adult and Pediatric Asynchronous Telehealth Consultations.

Introduction: The Health Experts onLine at Portsmouth teleconsultation system is designed to connect health providers in the Navy Medicine East Region to specialists at Naval Medical Center Portsmouth.

Methods: A review of the first year of the Health Experts onLine at Portsmouth system was performed. Data on each teleconsultation were extracted from the Health Experts onLine at Portsmouth system database and analyzed.

Chinese Immigrant Religious Institutions' Variability in Views on Preventing Sexual Transmission of HIV.

Objectives: We examined Chinese immigrant religious institutions' views on teaching about preventing sexual transmission of HIV and the consistency of their views with public health best practices in HIV prevention.

Methods: We used 2009 to 2011 survey data from 712 members of 20 New York City-based Chinese immigrant religious institutions to analyze their views on (1) teaching adolescents about condoms, (2) discussing homosexuality nonjudgmentally, and (3) promoting abstinence until marriage.

Results: Religion type was a significant predictor of views in the 3 domains, with Evangelical Protestants in least agreement with public health best practices, Buddhists in most agreement, and mainline Protestants between them.

Do Sexually Oriented Massage Parlors Cluster in Specific Neighborhoods? A Spatial Analysis of Indoor Sex Work in Los Angeles and Orange Counties, California.

Objective: Social determinants of health may be substantially affected by spatial factors, which together may explain the persistence of health inequities. Clustering of possible sources of negative health and social outcomes points to a spatial focus for future interventions. We analyzed the spatial clustering of sex work businesses in Southern California to examine where and why they cluster.

Septic Arthritis of the Ankle Caused by Group-B Streptococci Following Blunt Trauma: A Case Report.

Case: A healthy young adult underwent irrigation and debridement after experiencing minimal blunt trauma involving the ankle. Culture of synovial fluid demonstrated growth of group-B streptococci. Magnetic resonance imaging of the joint at three months of follow-up demonstrated synovitis without signs of osteomyelitis.