AIMC Topic: Medical Informatics
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MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models.
Journal of biomedical informatics
Jul 8, 2025
Large language models (LLMs) have demonstrated remarkable potential in medical applications. However, they still face critical challenges such as hallucinations, knowledge inconsistency, and insufficient integration of domain-specific medical experti...
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction.
Journal of biomedical informatics
Jul 4, 2025
Electronic Health Records (EHRs) depict patient-related information and have significantly contributed to advancements in healthcare fields. The abundance of EHR data provides exceptional opportunities for developing clinical predictive models. Howev...
Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development.
BMC medical informatics and decision making
Jul 2, 2025
BACKGROUND: There has been a resurgence of Artificial Intelligence (AI) on a global scale in recent times, resulting in the development of cutting-edge AI solutions within hospitals. However, this has also led to the creation of isolated AI solutions...
GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation.
Journal of biomedical informatics
Jun 2, 2025
OBJECTIVE: Recently, there has been growing interest in analyzing large amounts of Electronic Health Record (EHR) data. Patient outcome prediction is a major area of interest in EHR analysis that focuses on predicting the future health status of pati...
Leveraging Hospital Information Data for Effective Antibiotic Stewardship.
Journal of Korean medical science
May 26, 2025
Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship programs in healthcare settings. By integrating information technology with healthcare services, hospitals can systematically collect, store, and utilize med...
Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms.
IEEE journal of biomedical and health informatics
May 6, 2025
In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in various clinical domains. Consequently, the dependability of the health information technology (HIT) ...
Enhancing medical text classification with GAN-based data augmentation and multi-task learning in BERT.
Scientific reports
Apr 22, 2025
With the rapid advancement of medical informatics, the accumulation of electronic medical records and clinical diagnostic data provides unprecedented opportunities for intelligent medical text classification. However, challenges such as class imbalan...
From Silos to Synthesis: A comprehensive review of domain adaptation strategies for multi-source data integration in healthcare.
Computers in biology and medicine
Apr 9, 2025
BACKGROUND: The integration of data from diverse sources is not only crucial for addressing data scarcity in health informatics but also enables the use of complementary information from multiple datasets. However, the isolated nature of data collect...
Knowledge Representation and Management: 2023 Highlights and the Rise of Knowledge Graph Embeddings.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: We aim to identify, select, and summarize the best papers published in 2023 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook.
Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVE: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2023 in the CIS field.
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