IF 2.6 3区工程技术

Electronics Pub Date : 2026-02-01 Epub Date: 2026-01-28 DOI: 10.3390/electronics15030574

John M Johnston, Edward Perkins, Pierre D Glynn, Katherine von Stackelberg, Bruce K Hope, Matthew C Harwell

{"title":"Interoperability to Improve Science-Based Decision Making: Adapting a Risk Analysis Framework to Improve Translational Environmental Health Science.","authors":"John M Johnston, Edward Perkins, Pierre D Glynn, Katherine von Stackelberg, Bruce K Hope, Matthew C Harwell","doi":"10.3390/electronics15030574","DOIUrl":"https://doi.org/10.3390/electronics15030574","url":null,"abstract":"The protection of human and ecological health has become more challenging because of the myriad of human and climate stressors, and the sustainability of our social, economic, and environmental systems would be enhanced by further defensible risk assessment. There are scientific, technological, and cultural challenges to interoperability, bridging the necessary disciplines and integrating data from the genome to globe. Interoperability makes possible the use and reuse of data and modeling approaches and is a contemporary and rapidly progressing area advancing toxicology and exposure science. We present a coherent vision of human and ecological risk assessment, including the types of information and modeling science to create knowledge and apply it for improved decision-making. We focus on science-based decision-making, emphasizing decisions where science is the primary or sole driver, as in human toxicology and ecological risk assessment. This contrasts with decision-making where science has a minor role, if at all, in weighing decision options. We also examine the barriers that exist in the creation and application of systems thinking. We identify: the (1) needs and challenges for the application of a systems approach to informing decisions; (2) case studies that illustrate informatics needs for 21st-century science-based decision-making; and (3) recommendations on how to progress towards a systems approach to informing decisions.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"15 3","pages":"574"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13137388/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147835215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Markov Chain Replacement Strategy for Surrogate Identifiers: Minimizing Re-Identification Risk While Preserving Text Reuse. 代理标识符的马尔可夫链替换策略：在保持文本重用的同时最小化重新识别风险。

IF 2.6 3区工程技术

Electronics Pub Date : 2025-10-01 Epub Date: 2025-10-06 DOI: 10.3390/electronics14193945

John D Osborne, Andrew Trotter, Tobias O'Leary, Chris Coffee, Micah D Cochran, Luis Mansilla-Gonzalez, Akhil Nadimpalli, Alex McAnnally, Abdulateef I Almudaifer, Jeffrey R Curtis, Salma M Aly, Richard E Kennedy

{"title":"A Markov Chain Replacement Strategy for Surrogate Identifiers: Minimizing Re-Identification Risk While Preserving Text Reuse.","authors":"John D Osborne, Andrew Trotter, Tobias O'Leary, Chris Coffee, Micah D Cochran, Luis Mansilla-Gonzalez, Akhil Nadimpalli, Alex McAnnally, Abdulateef I Almudaifer, Jeffrey R Curtis, Salma M Aly, Richard E Kennedy","doi":"10.3390/electronics14193945","DOIUrl":"10.3390/electronics14193945","url":null,"abstract":"\"Hiding in Plain Sight\" (HIPS) strategies for Personal Health Information (PHI) replace PHI with surrogate values to hinder re-identification attempts. We evaluate three different HIPS strategies for PHI replacement, a standard Consistent replacement strategy, a Random replacement strategy, and a novel Markov model strategy. We evaluate the privacy-preserving benefits and relative utility for information extraction of these strategies on both a simulated PHI distribution and real clinical corpora from two different institutions using a range of false negative error rates (FNER). The Markov strategy consistently outperformed the Consistent and Random substitution strategies on both real data and in statistical simulations. Using FNER ranging from 0.1% to 5%, PHI leakage at the document level could be reduced from 27.1% to 0.1% and from 94.2% to 57.7% with the Markov strategy versus the standard Consistent substitution strategy, at 0.1% and 0.5% FNER, respectively. Additionally, we assessed the generated corpora containing synthetic PHI for reuse using a variety of information extraction methods. Results indicate that modern deep learning methods have similar performance on all strategies, but older machine learning techniques can suffer from the change in context. Overall, a Markov surrogate generation strategy substantially reduces the chance of inadvertent PHI release.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"14 19","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12536513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wet Etching-Based WO3 Patterning for High-Performance Neuromorphic Electrochemical Transistors 基于湿蚀刻的高性能神经形态电化学晶体管WO3图像化

3区工程技术

Electronics Pub Date : 2025-03-18 DOI: 10.3390/electronics14061183

Liwei Zhang, Sixing Chen, Shaoming Fu, Songjia Han, Li Zhang, Yu Zhang, Mengye Wang, Chuan Liu, Xiaoci Liang

{"title":"Wet Etching-Based WO3 Patterning for High-Performance Neuromorphic Electrochemical Transistors","authors":"Liwei Zhang, Sixing Chen, Shaoming Fu, Songjia Han, Li Zhang, Yu Zhang, Mengye Wang, Chuan Liu, Xiaoci Liang","doi":"10.3390/electronics14061183","DOIUrl":"https://doi.org/10.3390/electronics14061183","url":null,"abstract":"WO3-based electrochemical transistors (ECTs) are recognized as candidates for three-terminal memristors due to their high on–off ratio, long retention time, and rapid switching speed. However, their patterned fabrication often relies on complex vacuum systems or extreme processing conditions, hindering cost-effective scalability. Here, we developed a novel wet etching technique integrated with sol–gel-derived WO3 channels, enabling ambient-air fabrication of Nafion-WO3 ECTs. The wet-etched devices achieve an on–off ratio of ~105, surpassing unetched and dry-etched counterparts by orders of magnitude. Furthermore, they exhibit exceptional paired-pulse facilitation and long-term stability, maintaining 12 distinct conductance states for 103 s, and an on–off ratio of ~102 over 25 read–write cycles. XPS result shows higher W5+ content and M-O-H bond proportion for wet-etched devices, revealing an optimized interface, with enhanced H+ injection efficiency. The simulated artificial neural network using this wet-etched ECT shows ~97% recognition accuracy for handwritten numerals. This approach offers a novel patterning strategy for developing cost-effective, high-performance neuromorphic devices.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"14 6","pages":"1183-1183"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/2079-9292/14/6/1183/pdf?version=1742278066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147332648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Flexible Multi-Ion Detection System Based on Organic Electrochemical Transistors for Physiological Monitoring 基于有机电化学晶体管的柔性多离子生理监测系统

3区工程技术

Electronics Pub Date : 2025-03-04 DOI: 10.3390/electronics14051023

Chenglin Li, Sixing Chen, Chuan Liu, Hui‐Jiuan Chen, Songjia Han

{"title":"A Flexible Multi-Ion Detection System Based on Organic Electrochemical Transistors for Physiological Monitoring","authors":"Chenglin Li, Sixing Chen, Chuan Liu, Hui‐Jiuan Chen, Songjia Han","doi":"10.3390/electronics14051023","DOIUrl":"https://doi.org/10.3390/electronics14051023","url":null,"abstract":"The continuous and real-time monitoring of physiological indicators is essential for early disease detection, prevention, and clinical diagnosis. In response to the growing demand for precise physiological parameter assessment, this study presents a flexible, organic electrochemical transistor (OECT)-based multi-ion sensing system designed to monitor key electrolyte concentrations—sodium (Na+), potassium (K+), and calcium (Ca2+)—in human biofluids. The system features a highly adaptable sensor array with a detection range tailored to physiological conditions, ensuring high selectivity and stability in complex biological environments. Our sensor demonstrated a sensitivity exceeding 1 mA/decade. To enhance measurement accuracy and mitigate cross-interference among ions, we integrate advanced machine learning algorithms, which optimize signal processing and significantly improve the system’s reliability. Additionally, we have developed a fully integrated hardware–software platform comprising customized signal acquisition circuitry and dedicated data analysis software, specifically tailored for OECT-based sensing applications. This comprehensive framework not only refines real-time ion detection but also paves the way for the broader clinical translation of OECT technology. The proposed system holds great promise for real-time physiological monitoring and point-of-care diagnostics, offering a potential paradigm shift in non-invasive, on-demand health assessment.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"14 5","pages":"1023-1023"},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/2079-9292/14/5/1023/pdf?version=1741086967","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147331668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Data-Driven Maturity Level Evaluation for Cardiomyocytes Derived from Human Pluripotent Stem Cells (Invited Paper). 人类多能干细胞衍生心肌细胞的数据驱动成熟度评估（特邀论文）。

IF 2.6 3区工程技术

Electronics Pub Date : 2024-12-02 Epub Date: 2024-12-18 DOI: 10.3390/electronics13244985

Yan Hong, Xueqing Huang, Fang Li, Siqi Huang, Qibiao Weng, Diego Fraidenraich, Ioana Voiculescu

{"title":"Data-Driven Maturity Level Evaluation for Cardiomyocytes Derived from Human Pluripotent Stem Cells (Invited Paper).","authors":"Yan Hong, Xueqing Huang, Fang Li, Siqi Huang, Qibiao Weng, Diego Fraidenraich, Ioana Voiculescu","doi":"10.3390/electronics13244985","DOIUrl":"10.3390/electronics13244985","url":null,"abstract":"Cardiovascular disease is a leading cause of death worldwide. The differentiation of human pluripotent stem cells (hPSCs) into functional cardiomyocytes offers significant potential for disease modeling and cell-based cardiac therapies. However, hPSC-derived cardiomyocytes (hPSC-CMs) remain largely immature, limiting their experimental and clinical applications. A critical challenge in current in vitro culture systems is the absence of standardized metrics to quantify maturity. This study presents a data-driven pipeline to quantify hPSC-CM maturity using gene expression data across various stages of cardiac development. We determined that culture time serves as a feasible proxy for maturity. To improve prediction accuracy, machine learning algorithms were employed to identify heart-related genes whose expression strongly correlates with culture time. Our results reduced the average discrepancy between predicted and observed culture time to 4.461 days and CASQ2 (Calsequestrin 2), a gene involved in calcium ion storage and transport, was identified as the most critical cardiac gene associated with culture duration. This novel framework for maturity assessment moves beyond traditional qualitative methods, providing deeper insights into hPSC-CM maturation dynamics. It establishes a foundation for developing advanced lab-on-chip devices capable of real-time maturity monitoring and adaptive stimulus selection, paving the way for improved maturation strategies and broader experimental/clinical applications.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"13 24","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accurate Medical Vial Identification Through Mixed Reality: A HoloLens 2 Implementation. 通过混合现实准确识别医用小瓶：HoloLens 2实现。

IF 2.6 3区工程技术

Electronics Pub Date : 2024-11-02 Epub Date: 2024-11-11 DOI: 10.3390/electronics13224420

Bahar Uddin Mahmud, Guan Yue Hong, Afsana Sharmin, Zachary D Asher, John D Hoyle

{"title":"Accurate Medical Vial Identification Through Mixed Reality: A HoloLens 2 Implementation.","authors":"Bahar Uddin Mahmud, Guan Yue Hong, Afsana Sharmin, Zachary D Asher, John D Hoyle","doi":"10.3390/electronics13224420","DOIUrl":"10.3390/electronics13224420","url":null,"abstract":"The accurate identification of medicine vials is crucial for emergency medical services, especially for vials that resemble one another but have different labels, volumes, and concentrations. This study introduces a method to detect vials in real-time using mixed reality technology through Microsoft HoloLens 2. The system is also equipped with an SQL server to manage barcode and vial information. We conducted a comparative analysis of the barcode detection capabilities of the HoloLens 2 camera and an external scanner. The HoloLens 2 effectively identified larger barcodes when they were 20-25 cm away in normal lighting conditions. However, it faced difficulties in detecting smaller barcodes that were consistently detected by the external scanner. The frame rate investigation revealed performance fluctuations: an average of 10.54 frames per second (fps) under standard lighting conditions, decreasing to 10.10 fps in low light and further reducing to 10.05 fps when faced with high barcode density. Resolution tests demonstrated that a screen resolution of 1920 × 1080 yielded the best level of accuracy, with a precision rate of 98%. On the other hand, a resolution of 1280 × 720 achieved a good balance between accuracy 93% and speed. The HoloLens 2 demonstrates satisfactory performance under ideal circumstances; however, enhancements in detecting algorithms and camera resolution are required to accommodate diverse surroundings. This approach seeks to help paramedics make quick and accurate decisions during critical situations and tackle common obstacles such as reliance on networks and human mistakes. Our new approach of a hybrid method that integrates an external Bluetooth scanner with the MR device gives optimal results compared to the scanner-only approach.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"13 22","pages":"4420"},"PeriodicalIF":2.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144157408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Design Review for Biomedical Wireless Power Transfer Systems with a Three-Coil Inductive Link through a Case Study for NICU Applications. 基于NICU应用的生物医学无线电力传输系统的设计综述。

IF 2.6 3区工程技术

Electronics Pub Date : 2024-10-01 Epub Date: 2024-10-07 DOI: 10.3390/electronics13193947

Amin Hazrati Marangalou, Miguel Gonzalez, Nathaniel Reppucci, Ulkuhan Guler

{"title":"A Design Review for Biomedical Wireless Power Transfer Systems with a Three-Coil Inductive Link through a Case Study for NICU Applications.","authors":"Amin Hazrati Marangalou, Miguel Gonzalez, Nathaniel Reppucci, Ulkuhan Guler","doi":"10.3390/electronics13193947","DOIUrl":"10.3390/electronics13193947","url":null,"abstract":"This paper outlines a design approach for biomedical wireless power transfer systems with a focus on three-coil inductive links for neonatal intensive care unit applications. The relevant literature has been explored to support the design approach, equations, simulation results, and the process of experimental analysis. The paper begins with a brief overview of various power amplifier classes, followed by an in-depth examination of the most common power amplifiers used in biomedical wireless power transfer systems. Among the traditional linear and switching amplifier classes, class-D and class-E switching amplifiers are highlighted for their enhanced efficiency and straightforward implementation in biomedical contexts. The impact of load variation on these systems is also discussed. This paper then explores the basic concepts and essential equations governing inductive links, comparing two-coil and multi-coil configurations. In the following, the paper discusses foundational coil parameters and provides theoretical and experimental analysis of both two-coil and multi-coil inductive links through step-by-step measurement techniques using lab equipment and addressing the relevant challenges. Finally, a case study for neonatal intensive care unit applications is presented, showcasing a wireless power transfer system operating at 13.56 MHz for powering a wearable device on a patient lying on a mattress. An inductive link with a transmitter coil embedded in a mattress is designed to supply power to a load at distances ranging from 4 cm to 12 cm, simulating the mattress-to-chest distance of an infant. the experimental results of a three-coil inductive link equipped with a Class-E power amplifier are reported, demonstrating power transfer efficiency ranging from 75% to 25% and power delivery to a 500 Ω-load varying from 340 mW to 25 mW over various distances.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"13 19","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143002251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancements in Electronic Component Assembly: Real-Time AI-Driven Inspection Techniques 电子元件组装的进步：人工智能驱动的实时检测技术

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-18 DOI: 10.3390/electronics13183707

Eyal Weiss

{"title":"Advancements in Electronic Component Assembly: Real-Time AI-Driven Inspection Techniques","authors":"Eyal Weiss","doi":"10.3390/electronics13183707","DOIUrl":"https://doi.org/10.3390/electronics13183707","url":null,"abstract":"This study presents an advanced methodology for improving electronic assembly quality through real-time, inline inspection utilizing state-of-the-art artificial intelligence (AI) and deep learning technologies. The primary goal is to ensure compliance with stringent manufacturing standards, notably IPC-A-610 and IPC-J-STD-001. Employing the existing infrastructure of pick-and-place machines, this system captures high-resolution images of electronic components during the assembly process. These images are analyzed instantly by AI algorithms capable of detecting a variety of defects, including damage, corrosion, counterfeit, and structural irregularities in components and their leads. This proactive approach shifts from conventional reactive quality assurance methods by integrating real-time defect detection and strict adherence to industry standards into the assembly process. With an accuracy rate exceeding 99.5% and processing speeds of about 5 milliseconds per component, this system enables manufacturers to identify and address defects promptly, thereby significantly enhancing manufacturing quality and reliability. The implementation leverages big data analytics, analyzing over a billion components to refine detection algorithms and ensure robust performance. By pre-empting and resolving defects before they escalate, the methodology minimizes production disruptions and fosters a more efficient workflow, ultimately resulting in considerable cost reductions. This paper showcases multiple case studies of component defects, highlighting the diverse types of defects identified through AI and deep learning. These examples, combined with detailed performance metrics, provide insights into optimizing electronic component assembly processes, contributing to elevated production efficiency and quality.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"11 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trust-Based Detection and Mitigation of Cyber Attacks in Distributed Cooperative Control of Islanded AC Microgrids 基于信任的岛式交流微电网分布式合作控制中网络攻击的检测与缓解

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-18 DOI: 10.3390/electronics13183692

Md Abu Taher, Mohd Tariq, Arif I. Sarwat

{"title":"Trust-Based Detection and Mitigation of Cyber Attacks in Distributed Cooperative Control of Islanded AC Microgrids","authors":"Md Abu Taher, Mohd Tariq, Arif I. Sarwat","doi":"10.3390/electronics13183692","DOIUrl":"https://doi.org/10.3390/electronics13183692","url":null,"abstract":"In this study, we address the challenge of detecting and mitigating cyber attacks in the distributed cooperative control of islanded AC microgrids, with a particular focus on detecting False Data Injection Attacks (FDIAs), a significant threat to the Smart Grid (SG). The SG integrates traditional power systems with communication networks, creating a complex system with numerous vulnerable links, making it a prime target for cyber attacks. These attacks can lead to the disclosure of private data, control network failures, and even blackouts. Unlike machine learning-based approaches that require extensive datasets and mathematical models dependent on accurate system modeling, our method is free from such dependencies. To enhance the microgrid’s resilience against these threats, we propose a resilient control algorithm by introducing a novel trustworthiness parameter into the traditional cooperative control algorithm. Our method evaluates the trustworthiness of distributed energy resources (DERs) based on their voltage measurements and exchanged information, using Kullback-Leibler (KL) divergence to dynamically adjust control actions. We validated our approach through simulations on both the IEEE-34 bus feeder system with eight DERs and a larger microgrid with twenty-two DERs. The results demonstrated a detection accuracy of around 100%, with millisecond range mitigation time, ensuring rapid system recovery. Additionally, our method improved system stability by up to almost 100% under attack scenarios, showcasing its effectiveness in promptly detecting attacks and maintaining system resilience. These findings highlight the potential of our approach to enhance the security and stability of microgrid systems in the face of cyber threats.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"214 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attention-Enhanced Guided Multimodal and Semi-Supervised Networks for Visual Acuity (VA) Prediction after Anti-VEGF Therapy 用于预测抗血管内皮生长因子疗法后视力 (VA) 的注意力增强型多模态和半监督引导网络

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-18 DOI: 10.3390/electronics13183701

Yizhen Wang , Yaqi Wang, Xianwen Liu, Weiwei Cui, Peng Jin, Yuxia Cheng, Gangyong Jia

{"title":"Attention-Enhanced Guided Multimodal and Semi-Supervised Networks for Visual Acuity (VA) Prediction after Anti-VEGF Therapy","authors":"Yizhen Wang , Yaqi Wang, Xianwen Liu, Weiwei Cui, Peng Jin, Yuxia Cheng, Gangyong Jia","doi":"10.3390/electronics13183701","DOIUrl":"https://doi.org/10.3390/electronics13183701","url":null,"abstract":"The development of telemedicine technology has provided new avenues for the diagnosis and treatment of patients with DME, especially after anti-vascular endothelial growth factor (VEGF) therapy, and accurate prediction of patients’ visual acuity (VA) is important for optimizing follow-up treatment plans. However, current automated prediction methods often require human intervention and have poor interpretability, making it difficult to be widely applied in telemedicine scenarios. Therefore, an efficient, automated prediction model with good interpretability is urgently needed to improve the treatment outcomes of DME patients in telemedicine settings. In this study, we propose a multimodal algorithm based on a semi-supervised learning framework, which aims to combine optical coherence tomography (OCT) images and clinical data to automatically predict the VA values of patients after anti-VEGF treatment. Our approach first performs retinal segmentation of OCT images via a semi-supervised learning framework, which in turn extracts key biomarkers such as central retinal thickness (CST). Subsequently, these features are combined with the patient’s clinical data and fed into a multimodal learning algorithm for VA prediction. Our model performed well in the Asia Pacific Tele-Ophthalmology Society (APTOS) Big Data Competition, earning fifth place in the overall score and third place in VA prediction accuracy. Retinal segmentation achieved an accuracy of 99.03 ± 0.19% on the HZO dataset. This multimodal algorithmic framework is important in the context of telemedicine, especially for the treatment of DME patients.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"39 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","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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