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LLM-Based Framework for Administrative Task Automation in Healthcare

LLM-Based Framework for Administrative Task Automation in He...

引用

International Symposium on Digital Forensic and Security (ISDFS)

作者： Senay A. Gebreab Khaled Salah Raja Jayaraman Muhammad Habib ur Rehman Samer Ellaham Dept. of Computer & Communication Engineering Khalifa University Abu Dhabi UAE Dept. of Management Science & Engineering Khalifa University Abu Dhabi UAE Dept. of Biomedical Engineering & Imaging Sciences King's College London London UK Improvement Dept. Heart & Vascular Institute & Continuous Cleveland Clinic Abu Dhabi UAE

ISBN: (数字)9798350330366

ISBN: (纸本)9798350330373

Artificial Intelligence (AI) has been transformative in the healthcare sector, leading to enhanced precision in medical diagnosis, more effective treatment options, and a significant improvement in patient safety. However, computer-based administrative tasks, such as retrieval of medical and health records, patient registration, medical billing, filing and documentation, and appointment scheduling, still impose a heavy burden on healthcare professionals, causing a reduced quality of care and efficiency. In light of these challenges, this paper proposes a large language model (LLM)-based multi-agent framework designed to automate some of the administrative work in clinical settings. In our proposed solution, these LLM agents coordinate to parse instructions, breakdown tasks, and execute a sequence of actions in a workflow. They are equipped to not only execute documentation process at the database level but also operate directly on web-based electronic medical record (EMR) platforms. Moreover, the framework integrates data sources through a retrieval-augmented generation (RAG) system to allow streamlined interaction with patient information and medical records, mediated through an agent interface. The framework is designed with security in mind to defend against malicious prompts. We demonstrate the practicality of our solution by testing on various complex tasks that require the use of multiple tools and an EMR website. The result show the framework's effectiveness in handling diverse healthcare administrative tasks.

关键词： Processor scheduling Soft sensors Documentation Safety Security Medical diagnosis Task analysis

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Sitting posture Analysis using CNN and RCNN

Sitting posture Analysis using CNN and RCNN

引用

International Conference on Biosignals, Images and Instrumentation (ICBSII)

作者： Nishitha R T. Sudhakar J Bethanney Janney N. R. Krishnamoorthy K Dhanalakshmi S Vigneshwaran Biomedical Engg. Department Sathyabama Institute of Science and Technology Chennai Dept. of ECE Sathyabama Institute of Science & Technology Chennai Dept. of Computer Science Engg Sathyabama Institute of Science and Technology Chennai M.Tech-Medical Instrumentation Sathyabama Institute of Science and Technology Chennai

Based to statistics, about 80 percent of the population follows incorrect sitting posture. From the year 2020, due to the Covid-19 curfew, the traditional work office of many professionals turned into Work from home and remote office lifestyle. Many of the working professionals has no proper ergonomic workplace setup in their house leading to improper sitting position. Monitoring the sitting posture is needed to avoid chronic complication of MSD, neck, and spine related injuries. Many techniques were emerged for correcting and monitoring the posture. Neural Network based posture detection is being into the field of research as the come with more range of accuracy. This paper discusses about the various Neural Networks used and their accuracies.

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CT Image Harmonization for Enhancing Radiomics Studies

CT Image Harmonization for Enhancing Radiomics Studies

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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Selim, Md Zhang, Jie Fei, Baowei Zhang, Guo-Qiang Chen, Jin Dept. of Computer Science University of Kentucky LexingtonKY United States Dept. of Radiology University of Kentucky LexingtonKY United States Dept. of Bioengineering University of Texas at Dallas DallasTX United States Dept. of Neurology University of Texas Health Science Center at Houston HoustonTX United States Inst. for Biomedical Informatics University of Kentucky LexingtonKY United States

ISBN: (纸本)9781665401265

While remarkable advances have been made in Computed Tomography (CT), most of the existing efforts focus on imaging enhancement while reducing radiation dose. How to normalize CT images acquired using non-standard protocols is vital for decision-making in cross-center large-scale radiomics studies but remains the boundary to explore. We develop a novel GAN-based image standardization algorithm called RadiomicGAN to mitigate the discrepancy caused by using non-standard acquisition protocols. In RadiomicGAN, a pre-trained U-Net has been adopted as part of the generator to learn radiomic feature distributions efficiently, and a novel training approach, called Window Training, has been developed to smoothly transform the pre-trained model to the medical imaging domain. In the experiments, we compared RadiomicGAN with four state-of-the-art CT image standardization approaches on both patient and phantom CT images acquired using three different reconstruction kernels. We objectively evaluated model performance based on more than 1,000 radiomic features. The results show that RadiomicGAN clearly outperforms the compared models. The source code, manual, and sample data are available at https://*** selim-iitdu/radiomicGAN. © 2021 IEEE.

关键词： Generative adversarial networks

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Atherosclerotic Carotid Plaque AM-FM Texture Feature Variability in Ultrasound Video

Atherosclerotic Carotid Plaque AM-FM Texture Feature Variabi...

引用

IEEE International Symposium on biomedical Imaging

作者： Kyriacos P. Constantinou Ioannis P. Constantinou Christos P. Loizou Efthyvoulos Kyriacou Andreas Panayides Andrew N. Nicolaides Constantinos S. Pattichis Marios S. Pattichis Department of Computer Science University of Cyprus Nicosia Cyprus Istognosis Ltd Nicosia Cyprus Dept. of Electrical Computer Engineering and Informatics Cyprus University of Technology Cyprus CYENS Centre of Excellence Nicosia Cyprus Cyprus Cardiovascular Disease Educational Research Trust Nicosia Cyprus Dept. of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

The objective of this work was to investigate the Amplitude Modulation - Frequency Modulation (AM-FM) texture feature variability in carotid ultrasound video during the cardiac cycle at systole and diastole. The goal here was to identify AM-FM features that are associated with increased risk of stroke. We computed the instantaneous amplitude, instantaneous phase and the magnitude of instantaneous frequency to extract plaque histogram features. A small dataset of 5 asymptomatic and 3 symptomatic videos were analyzed. Selected AM-FM plaque histogram texture features extracted during the cardiac cycle at the systolic and diastolic states were statistically significantly different between asymptomatic and symptomatic videos. However, further evaluation with more subjects needs to be carried out to exploit the usefulness of the proposed analysis in the clinical context.

关键词： Histograms Ultrasonic imaging Frequency modulation Stability criteria Atherosclerosis Feature extraction Object recognition

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Optimizing Application Mapping for Multi-FPGA Systems with Multi-ejection STDM Switches

Optimizing Application Mapping for Multi-FPGA Systems with M...

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International Conference on Field Programmable Logic and Applications

作者： Kohei Ito Ryota Yasudo Hideharu Amano Dept. of Information and Computer Science Keio University Japan Graduate School of Informatics Kyoto University Japan

Multi-FPGA systems have received an attention as a computing cluster for multi-access edge computing (MEC). Also, they can process time-critical jobs with their hardwired logic. For this purpose, the static time-division multiplexing (STDM) network is adopted because it enables to predict latency and bandwidth. However, the overall performance of the STDM network depends on the number of time slots. This paper proposes a new mapping tool that optimizes the application mapping so that the number of slots is minimized. Our tool handles multicasts and multi-ejection function which are effective techniques for STDM switches implemented on an FPGA cluster. For applications with all-to-all communication, our experimental results show that the tool reduces the number of time slots by 59–68% with both multicasts and multi-ejection switches.

关键词： Multiplexing Multi-access edge computing Bandwidth Time factors Optimization Field programmable gate arrays

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A smart capacitive sensing garment can detect respiratory signals in various situations

A smart capacitive sensing garment can detect respiratory si...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Chang-Ming Yang Shu-Cing Wu Ze-We Wu Kuo-Cheng Liao Shih-Hung Chen Chi-Chun Chen Ming Young Biomedical Corp. Miaoli Taiwan Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Dept. of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung Taiwan Dept. of Electronic Engineering National Chin-Yi University of Technology Taichung Taiwan

A capacitive sensing smart clothing system is specially designed for respiratory monitoring and includes a breath capture controller and capacitive sensing clothing. Capacitive sensing clothing can be sewn with silver cloth on the chest or abdomen, and the signal is connected to the controller, and then the controller picks up the breathing signal and sends it to the graphical user interface (GUI). Integrating capacitive sensing technology into wearable clothing not only showcases technological advancements but also paves the way for new avenues in understanding and enhancing human health. By providing insights into breathing patterns and behaviors, this smart garment contributes to a more comprehensive approach in promoting health and medical care. This innovation holds the potential to empower individuals to make informed health decisions and enable healthcare professionals to deliver more personalized and effective treatments.

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A multi-point capacitive sensing smart clothing applied to posture detection

A multi-point capacitive sensing smart clothing applied to p...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Chang-Ming Yang Shu-Cing Wu Kuo-Cheng Liao Ze-We Wu Shih-Hung Chen Chi-Chun Chen Ming Young Biomedical Corp. Miaoli Taiwan Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Dept. of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung Taiwan Dept. of Electronic Engineering National Chin-Yi University of Technology Taichung Taiwan

This study introduced a system of multi-point capacitive sensing smart garment designed for posture detection. This smart garment utilized multiple capacitive sensors placed at different positions to monitor changes in body posture movements. These sensors were capable of detecting subtle variations between the garment and the wearer’s body and translating this data into understandable information. By analyzing the collected data, this smart garment can provide real-time monitoring of the user’s posture, such as standing, sitting, or lying down.

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A smart clothing sensing system for long-term ECG Monitoring

A smart clothing sensing system for long-term ECG Monitoring

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Chang-Ming Yang Shu-Cing Wu Shih-Hung Chen Kuo-Cheng Liao Ze-We Wu Chi-Chun Chen Ming Young Biomedical Corp. Miaoli Taiwan Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Dept. of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung Taiwan Dept. of Electronic Engineering National Chin-Yi University of Technology Taichung Taiwan

This study integrated smart garment, data acquisition device (DAD), iPad and remote server to develop an ECG measurement system for long-term healthcare monitoring in daily life. This system allowed the subjects to measure in a comfortable state, and their movements are not restricted. The experimental results showed that good ECG signals can be acquired from sleeping, sitting, standing and walking. Therefore, the system can not only be applied to daily long-term monitoring, but also has the opportunity for clinical application.

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Normal Vector Direction-based 3D LiDAR Point Cloud Planar Surface Removal for Object Cluster Minimization in Human Activity Monitoring System

Normal Vector Direction-based 3D LiDAR Point Cloud Planar Su...

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IEEE Instrumentation and Measurement Technology Conference

作者： Nova Eka Budiyanta Eko Mulyanto Yuniarno Tsuyoshi Usagawa Mauridhi Hery Purnomo Dept. of Electrical Engineering Faculty of Intelligent Electrical and Informatics Technology (F-Electics) Institut Teknologi Sepuluh Nopember Surabaya Indonesia Dept. of Electrical Engineering Dept. of Computer Engineering Faculty of Intelligent Electrical and Informatics Technology (F-Electics) Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Computer Science and Electrical Engineering Graduate School of Science and Technology Kumamoto University Kumamoto Japan Dept. of Electrical Engineering Dept. of Computer Engineering Faculty of Intelligent Electrical and Informatics Technology (F-Electics) Institut Teknologi Sepuluh Nopember University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Surabaya Indonesia

The use of 3-Dimensional Light Detection and Ranging (3D LiDAR) point cloud as the alternative data to reduce privacy exposure in monitoring systems has been carried out in several studies. Unfortunately, various challenges in using point clouds intersect with the amount of data and computational costs. Several studies attempted to optimize the point cloud processing approach by segmenting the ground plane to get the object clusters separated. However, many unnecessary points can still burden the computation process. Since the ground plane mainly represents the horizontal planar plane on the x, y axis, this study tried to reduce the points on the vertical planar plane on the x, z and y, z axes with the x, y horizontal planar plane as well based on the surface normal vector direction of each point. The proposed approach has successfully reduced the raw point cloud by 79.29% removing the point cloud that indicates the planar surface of the three axes while maintaining the essential object of the monitoring system on the KITTI raw dataset. Therefore, the object cluster can be minimized, supporting the computational costs for further research in human activity monitoring systems.

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Solving Energy Routing Problem in Energy Internet Using a Discrete Artificial Bee Colony Algorithm

Solving Energy Routing Problem in Energy Internet Using a Di...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Sara Hebal Saad Harous Djamila Mechta Computer Science Dept. LRSD laboratory Ferhat ABBAS S&#x00E9 tif 1 University S&#x00E9 tif Algeria dept. of Computer Science College of Computing and Informatics University of Sharjah Sharjah UAE

Due to the large-scale and unequal distribution of energy resources, it has become common for numerous power system elements such as producers, consumers, microgrids, and so on to be interconnected in a network structure via energy routers (ER), referred to as the Energy Internet (EI). In EI, the trading mechanism is called a peer to peer energy trading (P2PET). It allows prosumers to trade their excess energy for additional income. This new trading scheme progressively transformed the energy supply mode from single-source to multisource and multipath. As a result, the concept of energy routing is becoming particularly crucial in the realisation of P2PET system. The minimum loss path (MLP) with power system constraints is the fundamental objective in the design of P2PET. In this work, we present a Discrete-Artificial Bee Colony algorithm (D-ABC). It is an optimization approach, which is an effective variant of ABC algorithm to solve the MLP problem with capacity constraints in EI. In addition, for the congestion management, two different schemes are applied and compared. Some numerical simulations with varied MLP scenarios are used to compare the the proposed algorithm's effectiveness to existing algorithms in the literature.

关键词： Wireless communication Simulation Microgrids Routing Artificial bee colony algorithm Numerical simulation Power systems

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