Latest AI and machine learning research in practice management for healthcare professionals.
Deep learning models applied to chest radiography have shown promise for cardiac phenotyping, yet concerns remain regarding demographic performance disparities and deployment robustness. In this proof-of-concept study, we present a fairness-centered evaluation of chest X-ray-based differentiation between heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection...
OBJECTIVE: To examine the evolving role and application of SNOMED CT (SCT) during 2020-2025, a period marked by the COVID-19 pandemic and accelerated adoption of artificial intelligence (AI) in healthcare. MATERIALS AND METHODS: We searched PubMed and Embase for articles published from October 2020 to June 2025. Included articles were classified into focus categories by implementation maturity (Th...
Idiopathic ventricular fibrillation (IVF) affects 5-10% of out-of-hospital cardiac arrest survivors, requiring implantable cardioverter-defibrillators...
BACKGROUND: A subset of long noncoding RNAs (lncRNAs) contains short open reading frames and can encode functional micropeptides. However, identifying...
BACKGROUND: Underdiagnosis and undercoding are common across mental health conditions, particularly suicide and self-harm. This leaves health care dat...
BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...
To explore multiomic regulation of the metabolome, we used machine learning to predict metabolomic variation across ~1000 different cancer cell lines ...
BACKGROUND: Progression independent of relapse activity (PIRA) has been shown to account for a majority of the disability accumulation in relapsing-re...
A central goal in many brain studies is the identification of those brain regions that are activated during an observation window that may correspond ...
OBJECTIVES: Chat Generative Pretrained Transformer (ChatGPT) is a widely adopted tool that can provide immediate parenting guidance. The aim of this s...
Large Language Models (LLMs) such as ChatGPT are transforming how scientists conduct and validate research, offering promise as tools to improve scien...
BACKGROUND: Increasing concern regarding long-term consequences of mild traumatic brain injury (mTBI; concussion) highlights the need for an accurate ...
Cell-free DNA (cfDNA) offers a minimally invasive approach to capture genomic and epigenetic dynamics during cancer progression. We performed targeted...
INTRODUCTION: Routine electronic health records (HER)/administrative data could enable time- and cost-efficient, real-time surveillance and health-eco...
Generative artificial intelligence (AI) tools are increasingly used by students in introductory coding courses; however, evidence-based guidance for i...
BACKGROUND: Aspiration pneumonia represents a significant but understudied cause of morbidity and mortality, particularly among aging populations with...
Schistosomiasis is a neglected tropical disease posing a persistent threat to global health, particularly in endemic areas. Mass drug administration w...
Spiking neural P systems (SNP systems) are a type of neuromorphic membrane computing models abstracted based on neuron spiking mechanisms, with nonlin...
Intervertebral disc degeneration (IVDD) is increasingly recognized as a systemic collapse of the epigenetic regulatory network, driven by cellular sen...
Machine learning (ML) has great potential in healthcare, especially with large structured data. Routine health insurance claims (HIC) data are a valua...