AIMC Topic: Electronic Health Records
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ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks.
Artificial intelligence in medicine
Sep 1, 2025
Arrhythmia classifiers relying on supervised deep learning models usually require a substantial amount of labeled clinical data. The distribution of these labels is strictly related to the statistics of cardiovascular diseases among the population, w...
ICD code mapping model based on clinical text tree structure.
Artificial intelligence in medicine
Sep 1, 2025
With the rapid development and progress of big data and artificial intelligence technology, the ICD coding problem of electronic medical records has been effectively solved. The deep learning method, which replaces the manual coding method, has impro...
Electronic Health (eHealth) and Artificial Intelligence-based Tools to Optimize In-hospital Patient Flow: A Scoping Review.
Journal of patient safety
Sep 1, 2025
OBJECTIVES: Congested hospitals are increasingly common. Electronic health (eHealth) and artificial intelligence (AI)-based tools may improve in-hospital patient flow, however their implementation into practice varies. This study aims to identify and...
SDoH Impact on Periodontal Disease Using Machine Learning and Dental Records.
Journal of dental research
Sep 1, 2025
The impact of social determinants of health (SDoH) on periodontal disease (PD) is critical to study, as a deeper understanding of SDoH offers significant potential to inform policy and help clinicians provide holistic patient care. The use of machine...
Applications of Natural Language Processing in Otolaryngology: A Scoping Review.
The Laryngoscope
Sep 1, 2025
OBJECTIVE: To review the current literature on the applications of natural language processing (NLP) within the field of otolaryngology.
Understanding Clinicians' Usage Patterns of the CONCERN Early Warning System: Insights from a Multi-Site Pragmatic Cluster Randomized Controlled Trial.
Studies in health technology and informatics
Aug 7, 2025
The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing documentation patterns, predicting hospitalized patients' risk of clinical deterioration. It generates real-time risk scores displayed on the electronic healt...
A Hybrid Natural Language Processing Platform for Multi-Site RWD Studies.
Studies in health technology and informatics
Aug 7, 2025
Real-world data (RWD) obtained from electronic medical records has become a valuable resource for healthcare research. However, integrating unstructured free-text clinical data remains a significant challenge. Although natural language processing (NL...
Enhancing and Disaggregating Native Hawaiian and Pacific Islander (NHPI) Data Using Natural Language Processing and an Expanded Race/Ethnicity Lexicon.
Studies in health technology and informatics
Aug 7, 2025
Native Hawaiian and Pacific Islander (NHPI) populations are often aggregated into broad racial categories, obscuring potential disparities. This study leverages an expanded race/ethnicity lexicon and natural language processing (NLP) to identify docu...
Algorithmic Fairness in Machine Learning Prediction of Autism Using Electronic Health Records.
Studies in health technology and informatics
Aug 7, 2025
Efforts to improve early diagnosis of autism spectrum disorder (ASD) in children are beginning to use machine learning (ML) approaches applied to real-world clinical datasets, such as electronic health records (EHRs). However, sex-based disparities i...
Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.
Studies in health technology and informatics
Aug 7, 2025
This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from emergency department triage notes to support near real-time vaccine safety surveillance. Prompt engineering was used to initially create a labeled datase...
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