AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Antimicrobial resistance is a significant public health concern. The use of selective serotonin reuptake inhibitors (SSRIs), medications commonly prescribed to treat depression, anxiety, and other psychiatric disorders, is increasing. Previous in vit...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Mapping electronic health records (EHR) data to common data models (CDMs) enables the standardization of clinical records, enhancing interoperability and enabling large-scale, multi-centered clinical investigations. Using 2 large publicly available d...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
This study introduces a groundbreaking approach to early cancer detection through the analysis of cell-free DNA (cfDNA), utilizing machine learning algorithms to navigate the complexities of low circulating tumor DNA (ctDNA) fractions and genetic het...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
To aid in the transparency of state-of-the-art machine learning models, there has been considerable research performed in uncertainty quantification (UQ). UQ aims to quantify what a model does not know by measuring variation of the model under stocha...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Epilepsy affects over 50 million persons worldwide, with less than 50% achieving long-term success following surgery. Traditional electrophysiology signal-based seizure detection methods are resource-intensive, laborious, and overlook multifocal brai...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
The volume of patient-provider messages is on the rise, and Large Language Models (LLMs) can potentially streamline the clinical messaging process, but their success hinges on triaging messages they can optimally address. In this study, we analyzed E...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce burden. Generative artificial intelligence (AI) poses opportunities for burden reduction but requires rigorous assessment. We evaluated the ability of a ...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
The advent of clinical language models integrated into electronic health records (EHR) for clinical decision support has marked a significant advancement, leveraging the depth of clinical notes for improved decision-making. Despite their success, the...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Electronic Health Record (EHR) audit log data are increasingly utilized for clinical tasks, from workflow modeling to predictive analyses of discharge events, adverse kidney outcomes, and hospital readmissions. These data encapsulate user-EHR interac...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Integrating Electronic Health Records (EHR) and the application of machine learning present opportunities for enhancing the accuracy and accessibility of data-driven diabetes prediction. In particular, developing data-driven machine learning models c...