Latest AI and machine learning research in practice management for healthcare professionals.
Automated phenotyping in ophthalmology requires accurate standardization of clinical terms to facilitate interoperability and research. This study evaluates the suitability of the human phenotype ontology (HPO) for automated extraction of ophthalmic phenotypes from narrative documentation. We developed a locally operated AI pipeline combining text segmentation and negation detection based on a sma...
BACKGROUND: The use of mortality data in public health research has surged with the rise of open-access databases such as CDC WONDER. However, caution is needed when defining the relationship between ICD codes and when transitioning from older to newer versions of the data. This review provides a practical, step-by-step guide to using the CDC WONDER mortality database. METHODS: We outline key func...
BACKGROUND: Heart failure (HF) remains a major cause of morbidity and mortality worldwide, and acute decompensation frequently necessitates intensive ...
Intimate partner violence (IPV) survivors increasingly use social media platforms to share their experiences and to seek help and support for their IP...
BACKGROUND: Generative artificial intelligence (GenAI) tools are being increasingly applied to teaching and learning in medical education creating bot...
INTRODUCTION: Renal cell carcinoma (RCC) most commonly metastasizes to the lungs and shares risk factors with lung cancer. However, primary lung cance...
Similar patient retrieval is a fundamental task in medical informatics, aiming to identify patients with similar clinical characteristics to assist in...
INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pediatric hypertrophic cardiomyopathy (HCM). Despite ma...
The ability to successfully retain and manipulate information in working memory (WM) requires that objects' individual features are bound into cohesiv...
BACKGROUND: The integration of artificial intelligence-generated content (AIGC) tools into academic research offers transformative potential for enhan...
Artificial intelligence (AI) has catalyzed revolutionary changes across various sectors, notably in healthcare. In particular, generative AI-led by di...
BACKGROUND: Oropharyngeal squamous cell carcinoma (OPSCC) accounts for a substantial proportion of head and neck cancers, with a rising incidence larg...
The study addresses the increasing resistance to the FDA-approved drug Bedaquiline (BDQ) in Mycobacterium tuberculosis (MTB). The absence of any defin...
OBJECTIVES: A paper from Goh et al. found that a large language model (LLM) working alone outperformed American clinicians assisted by the same LLM in...
BACKGROUND: Short birth interval is an important reproductive health concern in low- and middle-income countries, including Bangladesh, as it may have...
Most genetic variants in the human genome reside in non-coding regions, where they can perturb regulatory element activity to influence gene expressio...
We present a wavefront coding (WFC) based decoupled illumination-detection light sheet fluorescence microscopy (DID-LSFM) system that integrates machi...
OBJECTIVES: To determine whether an artificial-intelligence-driven Clinical Deterioration Index (CDI) could identify geriatric hip-fracture patients a...
RATIONALE & OBJECTIVE: Acute kidney injury (AKI) in research is typically identified using KDIGO criteria based on changes in serum creatinine (SCr) l...
Theoretically driven meta-analyses often involve testing whether study characteristics moderate an effect in a pattern that supports one of multiple c...