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A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation. 利用llm和检索增强文本生成实现急诊医学文档自动化的管道。
IF 4.3 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2025-06-18 eCollection Date: 2025-01-01 DOI: 10.1080/08839514.2025.2519169
Denis Moser, Matthias Bender, Murat Sariyar
{"title":"A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation.","authors":"Denis Moser, Matthias Bender, Murat Sariyar","doi":"10.1080/08839514.2025.2519169","DOIUrl":"10.1080/08839514.2025.2519169","url":null,"abstract":"<p><p>Accurate and efficient documentation of patient information is vital in emergency healthcare settings. Traditional manual documentation methods are often time-consuming and prone to errors, potentially affecting patient outcomes. Large Language Models (LLMs) offer a promising solution to enhance medical communication systems; however, their clinical deployment, particularly in non-English languages such as German, presents challenges related to content accuracy, clinical relevance, and data privacy. This study addresses these challenges by developing and evaluating an automated pipeline for emergency medical documentation in German. The research objectives include (1) generating synthetic dialogues with known ground truth data to create controlled datasets for evaluating NLP performance and (2) designing an innovative pipeline to retrieve essential clinical information from these dialogues. A subset of 100 anonymized patient records from the MIMIC-IV-ED dataset was selected, ensuring diversity in demographics, chief complaints, and conditions. A Retrieval-Augmented Generation (RAG) system extracted key nominal and numerical features using chunking, embedding, and dynamic prompts. Evaluation metrics included precision, recall, F1-score, and sentiment analysis. Initial results demonstrated high extraction accuracy, particularly in medication data (F1-scores: 86.21%-100%), though performance declined in nuanced clinical language, requiring further refinement for real-world emergency settings.</p>","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"39 1","pages":"2519169"},"PeriodicalIF":4.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12315831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144774556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coupled Spatial-Spectral Constrained Convolutional Fusion Network for Hyperspectral and Panchromatic images 用于高光谱和全色图像的空间-光谱耦合卷积融合网络
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-09-12 DOI: 10.1080/08839514.2024.2335101
Jingwei Chen
{"title":"Coupled Spatial-Spectral Constrained Convolutional Fusion Network for Hyperspectral and Panchromatic images","authors":"Jingwei Chen","doi":"10.1080/08839514.2024.2335101","DOIUrl":"https://doi.org/10.1080/08839514.2024.2335101","url":null,"abstract":"Target monitoring is an important subject in machine vision. Hyperspectral image (HSI) can effectively assist the target detection and recognition effect of traditional optical images because of it...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"4 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feature-Based Dataset Fingerprinting for Clustered Federated Learning on Medical Image Data 基于特征的数据集指纹识别，用于医学图像数据的聚类联合学习
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-09-09 DOI: 10.1080/08839514.2024.2394756
Daniel Scheliga, Patrick Mäder, Marco Seeland
{"title":"Feature-Based Dataset Fingerprinting for Clustered Federated Learning on Medical Image Data","authors":"Daniel Scheliga, Patrick Mäder, Marco Seeland","doi":"10.1080/08839514.2024.2394756","DOIUrl":"https://doi.org/10.1080/08839514.2024.2394756","url":null,"abstract":"Federated Learning (FL) allows multiple clients to train a common model without sharing their private training data. In practice, federated optimization struggles with sub-optimal model utility bec...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"315 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars 用于水稻品种特征选择的机器学习集合分类器
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-09-04 DOI: 10.1080/08839514.2024.2394734
Chandrakumar Thangavel, D Sakthipriya
{"title":"Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars","authors":"Chandrakumar Thangavel, D Sakthipriya","doi":"10.1080/08839514.2024.2394734","DOIUrl":"https://doi.org/10.1080/08839514.2024.2394734","url":null,"abstract":"Machine Learning (ML) has a big impact on smart farming, especially rice productivity. This is especially true for intelligent farming. Machine Learning is crucial for seed prediction, germination,...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems 确保海事自主系统中人工智能安全的红色团队框架
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-09-04 DOI: 10.1080/08839514.2024.2395750
Mathew J. Walter, Aaron Barrett, Kimberly Tam
{"title":"A Red Teaming Framework for Securing AI in Maritime Autonomous Systems","authors":"Mathew J. Walter, Aaron Barrett, Kimberly Tam","doi":"10.1080/08839514.2024.2395750","DOIUrl":"https://doi.org/10.1080/08839514.2024.2395750","url":null,"abstract":"Artificial intelligence (AI) is being ubiquitously adopted to automate processes in science and industry. However, due to its often intricate and opaque nature, AI has been shown to possess inheren...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks 利用双通道记忆网络基于信用审核文本进行欺诈检测
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-08-27 DOI: 10.1080/08839514.2024.2385854
Yansong Wang, Defu Lian, Enhong Chen
{"title":"Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks","authors":"Yansong Wang, Defu Lian, Enhong Chen","doi":"10.1080/08839514.2024.2385854","DOIUrl":"https://doi.org/10.1080/08839514.2024.2385854","url":null,"abstract":"With the rapid development of the automotive finance market in China, fraudulent behaviors present new characteristics such as intellectualization and high concealment. Graph neural networks and me...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"4 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment 随机多标准环境下教育目的用户生成内容的准实验质量评估
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-08-25 DOI: 10.1080/08839514.2024.2389501
Roberto Suson, Nadine May Atibing, Samantha Shane Evangelista, Charldy Wenceslao, Fatima Maturan, Rica Villarosa, Lanndon Ocampo
{"title":"Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment","authors":"Roberto Suson, Nadine May Atibing, Samantha Shane Evangelista, Charldy Wenceslao, Fatima Maturan, Rica Villarosa, Lanndon Ocampo","doi":"10.1080/08839514.2024.2389501","DOIUrl":"https://doi.org/10.1080/08839514.2024.2389501","url":null,"abstract":"As social platforms experience an influx of diverse content from users, the need to determine high-quality contributions becomes crucial, especially for educational purposes. This paper highlights ...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"88 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting 通过多变量多步骤时间序列预报了解海浪-海流相互作用的动态变化
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-08-19 DOI: 10.1080/08839514.2024.2393978
Zaharaddeeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, Azam Che Idris
{"title":"Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting","authors":"Zaharaddeeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, Azam Che Idris","doi":"10.1080/08839514.2024.2393978","DOIUrl":"https://doi.org/10.1080/08839514.2024.2393978","url":null,"abstract":"Understanding ocean wave-current interactions’ complex dynamics is crucial for coastal engineering, marine operations, and climate research applications. This study introduces a pioneering data-dri...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"18 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms 利用机器学习算法通过变异模式分解预测步态神经退行性疾病
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-08-12 DOI: 10.1080/08839514.2024.2389375
P. Visvanathan, P.M. Durai Raj Vincent
{"title":"Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms","authors":"P. Visvanathan, P.M. Durai Raj Vincent","doi":"10.1080/08839514.2024.2389375","DOIUrl":"https://doi.org/10.1080/08839514.2024.2389375","url":null,"abstract":"Degeneration in brain cells is the cause of neurodegenerative illness, which cause motor function impairment. Anomaly in walking is one of this impairment’s adverse effects. Since sensor technologi...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"59 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors 基于深度神经网络的电子设备散热器温度映射技术（使用本地热电偶传感器
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-08-12 DOI: 10.1080/08839514.2024.2389374
Jaehee Shin, Hyun Ahn, Gwang-Hyeon Mun, Jeongmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, Jong Eun Ryu, Dong-Won Jang
{"title":"Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors","authors":"Jaehee Shin, Hyun Ahn, Gwang-Hyeon Mun, Jeongmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, Jong Eun Ryu, Dong-Won Jang","doi":"10.1080/08839514.2024.2389374","DOIUrl":"https://doi.org/10.1080/08839514.2024.2389374","url":null,"abstract":"Heat generated by electronic devices can lead to thermal deformation, damage, and fatigue failure, underscoring the importance of monitoring heat distribution. This study introduces an artificial n...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"170 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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