AIMC Topic: Electronic Health Records
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A comparative study of recent large language models on generating hospital discharge summaries for lung cancer patients.
Journal of biomedical informatics
Jun 20, 2025
OBJECTIVE: Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care. Recent advancements in large language models (LLMs) have s...
The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review.
JMIR medical informatics
Jun 19, 2025
BACKGROUND: Machine learning (ML) and big data analytics are rapidly transforming health care, particularly disease prediction, management, and personalized care. With the increasing availability of real-world data (RWD) from diverse sources, such as...
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.
JMIR cancer
Jun 19, 2025
BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young Americans. Accurate early prediction and a thorough understanding of the risk factors for early-onset colorectal cancer (EOCRC) are vital for effective preven...
Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.
JCO clinical cancer informatics
Jun 13, 2025
PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stereotactic radiosurgery (SRS) from electronic health records is a critical but challenging task. Traditional methods of identifying the primary tumor his...
Identification of neurological text markers associated with risk of stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 11, 2025
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that...
Male
Middle Aged
Risk Assessment
Risk Factors
Aged
Aged, 80 and over
Emergency Service, Hospital
Stroke
Data Mining
Time Factors
Predictive Value of Tests
Natural Language Processing
Humans
Prognosis
Retrospective Studies
Electronic Health Records
Female
Reproducibility of Results
Academic Medical Centers
Real-world effectiveness of cariprazine in major depressive disorder and bipolar I disorder in the United States.
Journal of medical economics
Jun 10, 2025
AIMS: The efficacy of cariprazine for major depressive disorder (MDD) (adjunctive therapy) and bipolar I (BP-I) depression has been demonstrated in clinical trials. This study evaluated the real-world effectiveness of cariprazine in reducing depressi...
Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting.
Journal of biomedical informatics
Jun 10, 2025
OBJECTIVE: To systematically evaluate large language models (LLMs) for automated information extraction from gastroscopy and colonoscopy reports through prompt engineering, addressing their ability to extract structured information, recognize complex...
Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.
Computers in biology and medicine
Jun 10, 2025
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where, despite treatment, they continue to experience significant burden. We sought to develop a tool c...
The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.
Journal of internal medicine
Jun 5, 2025
Healthcare-associated infections (HAIs) are common adverse events, and surveillance is considered a core component of effective HAI reduction programmes. Recently, efforts have focused on automating the traditional manual surveillance process by util...
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study.
JMIR medical informatics
Jun 4, 2025
BACKGROUND: The growing availability of electronic health records (EHRs) presents an opportunity to enhance patient care by uncovering hidden health risks and improving informed decisions through advanced deep learning methods. However, modeling EHR ...
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