AIMC Topic: Medical Records
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Multi-center colonoscopy quality measurement utilizing natural language processing.
The American journal of gastroenterology
Mar 10, 2015
BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could improve the effectiveness and cost-effectiveness of colorectal cancer (CRC) screening and surveillance. The purpose of this study was to create and te...
Cross language transformation of free text into structured lobectomy surgical records from a multi center study.
Scientific reports
May 2, 2025
In a recent study, the effectiveness of GPT-4 Omni in transforming lobectomy surgical records into structured data across multiple languages was explored. The aim was to improve both efficiency and accuracy in documenting thoracic surgical oncology p...
[Application of Medical Record Quality Control System Based on Artificial Intelligence].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Nov 20, 2023
OBJECTIVE: In this study, we used artificial intelligence (AI) technology to explore for automated medical record quality control methods, standardize the process for medical record documentation, and deal with the drawbacks of manually implemented q...
Creation and Adoption of Large Language Models in Medicine.
JAMA
Sep 5, 2023
IMPORTANCE: There is increased interest in and potential benefits from using large language models (LLMs) in medicine. However, by simply wondering how the LLMs and the applications powered by them will reshape medicine instead of getting actively in...
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.
Health informatics journal
Jan 1, 2023
PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in population-level studie...
[Not Available].
Ugeskrift for laeger
Dec 12, 2022
INTRODUCTION: The use of abbreviations in patient records in Danish hospitals is extensive. The purpose of this study was to investigate the use of abbreviations, how they affect the comprehension, and how much time was saved writing abbreviations.
Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.
Studies in health technology and informatics
Jun 29, 2022
Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different factors. The identification of those factors can help determine which patients are at greater risk of hospital readmission for early intervention. Ou...
Natural language processing of medical records: new understanding of suicide ideation by dementia subtypes.
International psychogeriatrics
Apr 1, 2022
Preliminary Text Analysis from Medical Records for TB Diagnosis Support.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Tuberculosis is an infectious disease that is spread through the air from one person to another and is one of the top ten causes of death in the world according to the World Health Organization. From biomedical engineering, decision support systems b...
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