Journal ArticleAnn Am Thorac Soc · October 2025
Rationale: Combined pulmonary fibrosis and emphysema (CPFE) is a unique phenotype with important prognosis and management implications in patients with idiopathic pulmonary fibrosis (CPFE-IPF) and other forms of fibrotic interstitial lung disease (CPFE-fIL ...
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Journal ArticleNPJ Digit Med · June 13, 2025
Ambient digital scribing (ADS) tools alleviate clinician documentation burden, reducing burnout and enhancing efficiency. As AI-driven ADS tools integrate into clinical workflows, robust governance is essential for ethical and secure deployment. This study ...
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Journal ArticleJ Am Med Inform Assoc · April 1, 2025
OBJECTIVES: Large language models (LLMs) are increasingly utilized in healthcare, transforming medical practice through advanced language processing capabilities. However, the evaluation of LLMs predominantly relies on human qualitative assessment, which i ...
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Journal ArticleJAMA Netw Open · March 3, 2025
IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to physician burnout and dissatisfaction, prompting uptake of artificial intelligence (AI) to alleviate this burden. It is important to understand patient pre ...
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Journal ArticleContemp Clin Trials · October 2024
BACKGROUND: Patients with diabetes at risk of food insecurity face cost barriers to healthy eating and, as a result, poor health outcomes. Population health management strategies are needed to improve food security in real-world health system settings. We ...
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Journal ArticleOpen Forum Infect Dis · August 2024
BACKGROUND: Plasma microbial cell-free DNA (mcfDNA) sequencing can establish the etiology of multiple infectious syndromes by identifying microbial DNA in plasma. However, data are needed to define the clinical scenarios where this tool offers the highest ...
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Journal ArticleBMC Med Inform Decis Mak · July 24, 2024
BACKGROUND: Electronic Health Records (EHR) are widely used to develop clinical prediction models (CPMs). However, one of the challenges is that there is often a degree of informative missing data. For example, laboratory measures are typically taken when ...
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Journal ArticleCrit Care · April 8, 2024
BACKGROUND: Perhaps nowhere else in the healthcare system than in the intensive care unit environment are the challenges to create useful models with direct time-critical clinical applications more relevant and the obstacles to achieving those goals more m ...
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Journal ArticleClin Infect Dis · March 20, 2024
BACKGROUND: Pneumonia is a common cause of morbidity and mortality, yet a causative pathogen is identified in a minority of cases. Plasma microbial cell-free DNA sequencing may improve diagnostic yield in immunocompromised patients with pneumonia. METHODS: ...
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Journal ArticleJ Am Med Inform Assoc · February 16, 2024
OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic techn ...
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Journal ArticleJAMIA Open · December 2023
INTRODUCTION: Gun violence remains a concerning and persistent issue in our country. Novel dashboards may integrate and summarize important clinical and non-clinical data that can inform targeted interventions to address the underlying causes of gun violen ...
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Journal ArticlePulm Ther · September 2022
INTRODUCTION: The disease origins of idiopathic pulmonary fibrosis (IPF), which occurs at higher rates in certain races/ethnicities, are not understood. The highest rates occur in white persons of European descent, particularly those with light skin, who a ...
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Journal ArticleJ Am Med Inform Assoc · August 16, 2022
Artificial intelligence/machine learning models are being rapidly developed and used in clinical practice. However, many models are deployed without a clear understanding of clinical or operational impact and frequently lack monitoring plans that can detec ...
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Journal ArticleACI Open · January 2022
Abstract
Objective Several risk scores have been developed and tested on coronavirus disease 2019 (COVID-19) patients to predict clinical decompensation. We aimed to compare an institutional, automated, custom-bui ...
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Journal ArticlePLoS One · 2021
BACKGROUND: The epidemiology of Interstitial Lung Diseases (ILD) in the Veterans Health Administration (VHA) is presently unknown. RESEARCH QUESTION: Describe the incidence/prevalence, clinical characteristics, and outcomes of ILD patients within the Veter ...
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Journal ArticleFront Physiol · 2021
Analysis of pulmonary function tests (PFTs) is an area where machine learning (ML) may benefit clinicians, researchers, and the patients. PFT measures spirometry, lung volumes, and carbon monoxide diffusion capacity of the lung (DLCO). The results are usua ...
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Journal ArticleJ Med Internet Res · November 19, 2020
BACKGROUND: Machine learning models have the potential to improve diagnostic accuracy and management of acute conditions. Despite growing efforts to evaluate and validate such models, little is known about how to best translate and implement these products ...
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Journal ArticleRespir Care · September 2020
BACKGROUND: Unanticipated respiratory compromise that lead to unplanned intubations is a known phenomenon in hospitalized patients. Most events occur in patients at high risk in well-monitored units; less is known about the incidence, risk factors, and tra ...
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Journal ArticleJ Pers Med · August 27, 2020
There is increasing application of machine learning tools to problems in healthcare, with an ultimate goal to improve patient safety and health outcomes. When applied appropriately, machine learning tools can augment clinical care provided to patients. How ...
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Journal ArticleJMIR Med Inform · July 15, 2020
BACKGROUND: Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature. OBJECTIVE: This study aims to report a quality improvement effort to integrate ...
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Journal ArticleJAMIA Open · July 2020
OBJECTIVE: Determine if deep learning detects sepsis earlier and more accurately than other models. To evaluate model performance using implementation-oriented metrics that simulate clinical practice. MATERIALS AND METHODS: We trained internally and tempor ...
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Journal ArticleJAMIA Open · July 2020
There is little known about how academic medical centers (AMCs) in the US develop, implement, and maintain predictive modeling and machine learning (PM and ML) models. We conducted semi-structured interviews with leaders from AMCs to assess their use of PM ...
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ConferenceFat 2020 Proceedings of the 2020 Conference on Fairness Accountability and Transparency · January 27, 2020
Machine learning technologies are increasingly developed for use in healthcare. While research communities have focused on creating state-of-the-art models, there has been less focus on real world implementation and the associated challenges to fairness, t ...
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Journal ArticleMDM Policy Pract · 2020
Background. Identification of patients at risk of deteriorating during their hospitalization is an important concern. However, many off-shelf scores have poor in-center performance. In this article, we report our experience developing, implementing, and ev ...
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Journal ArticleCrit Care Med · January 2019
OBJECTIVES: Previous studies have looked at National Early Warning Score performance in predicting in-hospital deterioration and death, but data are lacking with respect to patient outcomes following implementation of National Early Warning Score. We sough ...
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Journal Article · August 19, 2017
Sepsis is a poorly understood and potentially life-threatening complication
that can occur as a result of infection. Early detection and treatment improves
patient outcomes, and as such it poses an important challenge in medicine. In
this work, we develop ...
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Journal ArticleAm J Case Rep · July 31, 2017
BACKGROUND Recurrent respiratory papillomatosis (RRP), caused by human papillomavirus (HPV), is the most common benign neoplasm of the larynx and central airways. RRP has a significant impact on quality life and high annual costs to healthcare. Currently, ...
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Journal ArticleAm J Transplant · April 2014
As HLAs antibody detection technology has evolved, there is now detailed HLA antibody information available on prospective transplant recipients. Determining single antigen antibody specificity allows for a calculated panel reactive antibodies (cPRA) value ...
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Journal ArticleJ Int Assoc Provid AIDS Care · 2013
BACKGROUND: HIV-infected refugees resettled in the United States face many challenges. Longitudinal data regarding HIV-specific outcomes in this population are limited. METHODS: We reviewed charts of 51 HIV-infected sub-Saharan African refugees matched to ...
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Journal ArticlePathol Res Pract · September 15, 2011
Aspartyl-asparaginyl-β-hydroxylase (AAH) regulates cell motility and invasiveness by enhancing Notch signaling. Invasive trophoblastic cells, which mediate placentation, normally express high levels of AAH. Previously, we showed that ethanol-impaired place ...
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Journal ArticleCase Rep Med · 2010
Epidural injections for chronic low back pain are controversial, and their effectiveness is debated. Although epidural injections are considered a minor procedure with low morbidity, catastrophic complications may occur. We describe a case of prosthetic va ...
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