International Journal of Fuzzy Logic and Intelligent Systems最新文献

Artificial Intelligence for Bone: Theory, Methods, and Applications 骨的人工智能：理论、方法和应用

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2025-09-07 DOI: 10.1002/aidi.202500070

Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen

{"title":"Artificial Intelligence for Bone: Theory, Methods, and Applications","authors":"Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen","doi":"10.1002/aidi.202500070","DOIUrl":"https://doi.org/10.1002/aidi.202500070","url":null,"abstract":"Artificial intelligence (AI), a transformative technology rooted in decades of computational evolution, from early symbolic reasoning to modern deep learning breakthroughs, is bringing great impact and opportunities to scientific research. Synchronously, AI is rapidly transforming traditional approaches in bone research. The surge in orthopedic big data, advancements in high‐performance computing, as well as innovative AI algorithms, has led to an explosive growth in applications across bone fundamental research and orthopedic clinical practice. These applications span pathological investigation, biomarker discovery, screening of critical intervention targets, drug discovery, disease diagnosis, treatment assistance, postoperative rehabilitation, and prediction of disease recurrence, highlighting vast potential of AI to facilitate bone research. However, challenges persist regarding data quality, data sharing, interpretability, and ethical considerations. In the future, advances in AI are expected to drive significant progress in drug target identification and new drug discovery, moving orthopedic clinical practice from symptom management toward precision medicine. Additionally, the integration of large language models and parallel intelligence in orthopedics could bring revolutionary changes. We hope this review can provide basis for AI applications in biological research and clinical translation, advancing intelligent and personalized management of musculoskeletal system diseases.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aidi.202500070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147897888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

ChatGPT for educational-academic activities: Preschool student teachers’ experiences 教育学术活动聊天：幼儿教师的经验

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2025-09-02 DOI: 10.53761/ited/1.6

Κλεοπάτρα Νικολοπούλου

{"title":"ChatGPT for educational-academic activities: Preschool student teachers’ experiences","authors":"Κλεοπάτρα Νικολοπούλου","doi":"10.53761/ited/1.6","DOIUrl":"https://doi.org/10.53761/ited/1.6","url":null,"abstract":"ChatGPT is a rapidly evolving Artificial Intelligence tool which has attracted wide interest in higher education. This study aims to provide evidence on the experiences of student teachers who have used ChatGPT for academic-educational activities. The participants were 17 Greek preschool student teachers and the data was collected via interviews. The findings indicated that positive experiences regard general benefits (e.g., fast generation of answers, ease of use, source of information), ChatGPT’s support for educational activities (planning educational practices, interventions, lesson plans), and provision of different perspectives and approaches (including strengthening children’s social skills and ICT integration). Experienced limitations-challenges include reliability, validity of information, general/vague answers (e.g., ideas for educational practices), and limited contextual understanding. Submission of multiple queries/prompts for the generation of more relevant information was experienced both as benefit and limitation. Students value and recommend ChatGPT as a useful, supportive tool for educational purposes, and highlight the necessity for enhancement of student skills and practices (e.g., to evaluate responses/output and sources of information, and ask specific queries). Implications for students, university policy and educators are discussed. Universities need to respond to AI technology changes, adopt-establish new policies and enforce sustainability.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://open-publishing.org/journals/index.php/ited/article/download/1223/964","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147886772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing AI -增强表面-增强拉曼散射用于准确和敏感的生物医学传感

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2025-06-09 DOI: 10.1002/aidi.202500030

Seung-Ki Lee, Rowoon Park, Ho Sang Jung

{"title":"AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing","authors":"Seung-Ki Lee, Rowoon Park, Ho Sang Jung","doi":"10.1002/aidi.202500030","DOIUrl":"https://doi.org/10.1002/aidi.202500030","url":null,"abstract":"Surface‐enhanced Raman scattering (SERS) captures intrinsic vibrational signatures of biomolecules, allowing for label‐free detection with high specificity and sensitivity. This makes SERS particularly advantageous for analyzing biofluids, tissues, and cellular environments. However, spectral complexity, signal variability, and overlapping molecular signatures pose challenges in interpretation. To overcome these challenges, artificial intelligence (AI) enhances SERS analysis by automating spectral processing, improving classification, and refining imaging, enabling highly sensitive target detection, molecular interaction validation, and clinical diagnostics. This review explores AI‐enhanced SERS (AI‐SERS) applications in disease screening, biomolecular interaction analysis, and imaging‐based diagnostics, highlighting its potential for clinical translation. By leveraging AI‐driven spectral interpretation, AI‐SERS extracts molecular signatures, quantifies biomolecular interactions, and visualizes spatial distributions, providing diagnostic insights beyond conventional identification. Furthermore, we discuss key considerations for enhancing analytical reliability, optimizing spectral feature extraction, and integrating AI‐SERS into real‐world biomedical applications, outlining future directions to advance its role in medical diagnostics and therapeutic monitoring. By refining the synergy between AI and SERS, future advancements will drive innovations in next‐generation disease monitoring, drug discovery, and medical assistance.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aidi.202500030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147917543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Analytic Review of Healthcare Software by Using Quantum Computing Security Techniques 基于量子计算安全技术的医疗软件分析综述

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.336

Sultan H. Almotiri, Nadeem Mohd, A. Al Ghamdi Mohammed, Ahmad Khan Raees

引用次数: 0

Efficient Multi-Task CNN for Face and Facial Expression Recognition Using Residual and Dense Architectures for Application in Monitoring Online Learning 基于残差和密集结构的高效多任务CNN人脸和面部表情识别在在线学习监控中的应用

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.229

Duong Thang Long

引用次数: 0

Online Unstructured Data Analysis Models with KoBERT and Word2vec: A Study on Sentiment Analysis of Public Opinion in Korean 基于KoBERT和Word2vec的在线非结构化数据分析模型——韩国民意情绪分析研究

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.244

Changwon Baek, Jiho Kang, SangSoo Choi

引用次数: 0

Hybrid Metaheuristic Technique for Optimization of Virtual Machine Placement in Cloud 云环境下虚拟机布局优化的混合元启发式技术

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.353

Bhatt Chayan, Singhal Sunita

引用次数: 0

Clearance-Based Performance-Efficient Path Planning Using Generalized Voronoi Diagram 利用广义Voronoi图进行基于间隙的高效路径规划

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.259

JunTak Lee, Tae-Won Kang, Yong-Sik Choi, Jin-Woo Jung

引用次数: 0

(α₁, α₂)-Cut Sets of Reliability Measures in Moore and Bilikam Lifetime Family Using the Generalized Intuitionistic Fuzzy Numbers 用广义直觉模糊数求Moore和Bilikam寿命族可靠性测度的(α 1， α 2)切集

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.318

Roohanizadeh Zahra, Baloui Jamkhaneh Ezzatallah, Deiri Einolah

引用次数: 0

Bipolar Fuzzy Shift UP-Filters 双极模糊上移滤波器

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-09-30 DOI: 10.5391/ijfis.2023.23.3.294

Gaketem Thiti, Khamrot Pannawit, Julatha Pongpun, Prasertpong Rukchart, Iampan Aiyared

引用次数: 0