AIMC Topic: Medical Records
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A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization.
Scientific data
Jul 1, 2025
The advancement of clinical natural language processing systems is crucial to exploit the wealth of textual data contained in medical records. Diverse data sources are required in different languages and from different sites to represent global healt...
A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches.
Scientific reports
Feb 26, 2025
Rare diseases (RDs) are a group of pathologies that individually affect less than 1 in 2000 people but collectively impact around 7% of the world's population. Most of them affect children, are chronic and progressive, and have no specific treatment....
Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study.
Journal of medical Internet research
Jan 27, 2025
Artificial intelligence-enabled ambient digital scribes may have many potential benefits, yet results from our study indicate that there are errors that must be evaluated to mitigate safety risks.
Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis.
BMC oral health
Jan 23, 2024
BACKGROUND: Since AI algorithms can analyze patient data, medical records, and imaging results to suggest treatment plans and predict outcomes, they have the potential to support pathologists and clinicians in the diagnosis and treatment of oral and ...
Large Language Models in Neurology Research and Future Practice.
Neurology
Dec 4, 2023
Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We provide a perspective on the potential of LLMs to analyze enormous amounts of data from medical rec...
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach.
Scientific reports
Nov 29, 2023
Current risk scores using clinical risk factors for predicting ischemic heart disease (IHD) events-the leading cause of global mortality-have known limitations and may be improved by imaging biomarkers. While body composition (BC) imaging biomarkers ...
Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.
Birth defects research
Nov 6, 2023
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) collects data abstracted from medical records and birth defects registries on pregnant people and their infants to understand outcomes associated with ...
Leveraging Summary Guidance on Medical Report Summarization.
IEEE journal of biomedical and health informatics
Oct 5, 2023
This study presents three deidentified large medical text datasets, named DISCHARGE, ECHO and RADIOLOGY, which contain 50 K, 16 K and 378 K pairs of report and summary that are derived from MIMIC-III, respectively. We implement convincing baselines o...
Limitations of GPT-4 in analyzing real-life medical notes related to cognitive impairment.
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Jun 27, 2023
An Alternative Application of Natural Language Processing to Express a Characteristic Feature of Diseases in Japanese Medical Records.
Methods of information in medicine
Feb 21, 2023
BACKGROUND: Owing to the linguistic situation, Japanese natural language processing (NLP) requires morphological analyses for word segmentation using dictionary techniques.
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