Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Predicting Hospital Admissions Using Pretrained EHR Embeddings: External Evaluation and Insights on Local Vocabulary Adaptation

Unplanned hospital admissions impose substantial strain on healthcare systems, yet predictive models...

From Clinical Judgment to Large Language Models: Benchmarking Predictive Approaches for Unplanned Hospital Admissions

While machine learning (ML) models show strong performance for predicting unplanned hospital visits,...

A modular pipeline for natural language processing-screened human abstraction of a pragmatic trial outcome from electronic health records

Natural language processing (NLP) allows efficient extraction of clinical variables and outcomes fro...

Clinically Informed Semi-Supervised Learning Improves Disease Annotation and Equity from Electronic Health Records: A Glaucoma Case Study

Clinical notes represent a vast but underutilized source of information for disease characterization...

Use of Generative AI for Health Among Urban Youth in Pakistan: A Mixed-Methods Study

GAI tools are increasingly used informally for health, yet evidence from low- and middle-income coun...

Privacy-Enhancing Sequential Learning under Heterogeneous Selection Bias in Multi-Site EHR Data

To develop privacy-enhancing statistical methods for estimation of binary disease risk model associa...

Accents Still Confuse AI: Systematic Errors in Speech Transcription and LLM-Based Remedies

Accurate and timely documentation in the electronic health record (EHR) is essential for delivering ...

A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data

Information from electronic health records (EHRs) may be incorporated into computable phenotype algo...

A Self-Explainable Dynamic Risk Monitoring Framework for Predicting Alzheimer’s Disease and Related Dementias

Alzheimer’s Disease and Related Dementias (ADRD) affect millions worldwide and can begin over a deca...

Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence

Objective assessment of left ventricular function remains a key prognosticator that is used to guide...

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge

Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for h...

Predicting Behavioral Determinants of Health from Clinical Text Using Transformer Models and BiLSTM

Social and behavioral determinants of health play a critical role in patient outcomes, yet much of t...

Deep latent variable modelling reveals clinically significant subgroups among transfusion recipients

Transfusion recipients are a heterogeneous group of patients, yet the identification of these groups...

Machine Learning for Dynamic and Short-term Prediction of Preeclampsia Using Routine Clinical and Laboratory Data

Preeclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality, yet its unpr...

Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting

Radiology residents require timely, personalized feedback to develop accurate image analysis and rep...

Prospective Evaluation of AI Risk Stratification for Triaging Expedited Screening Mammogram Interpretation

To prospectively evaluate the feasibility and performance of expedited screening mammogram interpret...

The Application of Artificial Intelligence in Healthcare Practice: An Umbrella Review

Artificial intelligence (AI) is rapidly transforming healthcare practice, with growing evidence supp...

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