AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
To assist physicians in predicting diseases, most natural language processing (NLP) models have focused on progress notes in electronic medical records with full descriptions from the initial stage of patient diagnosis to the final stage of discharge...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Alzheimer's disease (AD) manifests with varying progression rates across individuals, necessitating the understanding of their intricate patterns of cognition decline that could contribute to effective strategies for risk monitoring. In this study, w...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
This work demonstrates a novel architecture for a patient-facing technology (PFT) that supports patients with cancer in self-managing medication concerns and symptoms after care transitions back home. Patient-generated data are collected and stored u...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Advancements in artificial intelligence propelled the implementation of general-purpose multitasking agents called foundation models. However, it has been challenging for foundation models to handle structured longitudinal medical data due to the mix...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Nowadays, healthcare systems increasingly utilize automated surveillance of electronic medical record (EMR) data to detect adverse events with specific patterns. Despite these technological advances, the early identification of adverse events remains...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Electronic health records (EHRs) contain valuable patient data for health-related prediction tasks, such as disease prediction. Traditional approaches rely on supervised learning methods that require large labeled datasets, which can be expensive and...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Social determinants of health (SDoH) significantly impacts health outcomes and contributes to perpetuating health disparities across healthcare applications. However, automatic extraction of SDoH information from Electronic Health Records (EHRs) is c...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Symptoms, or subjective experiences of patients which can indicate underlying pathology, are important for guiding clinician decision-making and revealing patient wellbeing. However, they are difficult to study because information is primarily found ...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.