AIMC Topic: Electronic Health Records

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An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement.

Rheumatology (Oxford, England) May 1, 2025
OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of urate-lowering therapy (ULT) on CKD incidence and progression have remained inconclusive. Here, we assessed the impact of a gout ULT clinic interventio...
Male Middle Aged Incidence Female Uric Acid Aged Propensity Score Gout Renal Insufficiency, Chronic Gout Suppressants Artificial Intelligence Electronic Health Records Humans
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Enhancing Malignancy Detection and Tumor Classification in Pathology Reports: A Comparative Evaluation of Large Language Models.

Studies in health technology and informatics Apr 24, 2025
BACKGROUND: Cancer registries require accurate and efficient documentation of malignancies, yet current manual methods are time-consuming and error-prone.
Sensitivity and Specificity Humans Neoplasms Algorithms Electronic Health Records Natural Language Processing Large Language Models Reproducibility of Results
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Development of a Synthetic Oncology Pathology Dataset for Large Language Model Evaluation in Medical Text Classification.

Studies in health technology and informatics Apr 24, 2025
BACKGROUND: Large Language Models (LLMs) offer promising applications in oncology pathology report classification, improving efficiency, accuracy, and automation. However, the use of real patient data is restricted due to legal and ethical concerns, ...
Natural Language Processing Male Medical Oncology Neoplasms Humans Large Language Models Electronic Health Records
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Exploring the Potential of Non-Proprietary Language Models for Analysing Patient-Reported Experiences.

Studies in health technology and informatics Apr 24, 2025
Large language models (LLMs) are increasingly being explored for various applications in medical language processing. Due to data privacy issues, it is recommended to apply non-proprietary models that can be run locally. Therefore, this study aims to...
Switzerland Patient Reported Outcome Measures Electronic Health Records Natural Language Processing Humans
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A Machine Learning-Based Risk Assessment Model for Poor Postoperative Pain Outcome.

Studies in health technology and informatics Apr 24, 2025
Postoperative pain is a relevant and unresolved problem in clinical practice. In order to reduce the occurrence of severe postoperative pain, preventive, multi-professional and target group-specific pain management should be implemented. Risk assessm...
Algorithms Electronic Health Records Risk Assessment Pain, Postoperative Female Humans Machine Learning
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Leveraging LLMs to Understand Narratives in MAUDE Reports.

Studies in health technology and informatics Apr 8, 2025
Interest in using the MAUDE database to investigate adverse events linked to medical devices has been growing. Yet, the narrative sections of these reports remain largely unexplored, leaving valuable insights unutilized and creating an incomplete und...
Humans Electronic Health Records Narration Surgical Instruments Natural Language Processing Data Mining
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GPT-4 in Clinical Practice: Assessing Its Capability for Symptom Extraction from Cancer Patient Notes.

Studies in health technology and informatics Apr 8, 2025
Accurate extraction of patient symptoms and signs from clinical notes is essential for effective diagnosis, treatment planning, and research. In this study, we evaluate the capability of GPT-4, specifically GPT-4o, in extracting symptoms and signs fr...
Electronic Health Records Sensitivity and Specificity Natural Language Processing Data Mining Neoplasms Humans Symptom Assessment
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Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical Notes.

Studies in health technology and informatics Apr 8, 2025
Large language models (LLMs) have increasingly been used to extract critical information from unstructured clinical notes, which often include important details not captured in the structured sections of electronic health records (EHRs). This study a...
Symptom Assessment Large Language Models Electronic Health Records Natural Language Processing Data Mining Humans
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Data Governance in Healthcare AI: Navigating the EU AI Act's Requirements.

Studies in health technology and informatics Apr 8, 2025
The integration of Artificial Intelligence (AI) into healthcare has the potential to revolutionize patient care, diagnostics, and treatment planning. However, this integration also introduces significant challenges related to data governance, privacy...
Electronic Health Records Confidentiality Humans Artificial Intelligence Computer Security European Union
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Automated identification of fall-related injuries in unstructured clinical notes.

American journal of epidemiology Apr 8, 2025
Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identifying them in unstructured clinical notes poses challenges for large-scale research. In this study, we developed and evaluated natural language process...
Humans Electronic Health Records Female Natural Language Processing Accidental Falls Wounds and Injuries Aged Support Vector Machine Male
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