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Frontiers in Artificial Intelligence|September 19, 2025
Predicting pediatric diagnostic imaging patient no-show and extended wait-times using LLMs, regression, and tree based modelsDaniel Rafique, Xuan Liu, Bo Gong, et al.Frontiers in Artificial Intelligence|September 19, 2025
An AI-powered framework for assessing teacher performance in classroom interactions: a deep learning approachArwa Almubarak, Wadee Alhalabi, Ibrahim Albidewi, et al.Frontiers in Artificial Intelligence|September 25, 2025
Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste managementParakram Singh Tanwer, Shishir Maheshwari, Sushree Behera, et al.Frontiers in Artificial Intelligence|August 11, 2025
Correction: Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature reviewTeona Gelashvili-Luik, Peeter Vihma, Ingrid PappelFrontiers in Artificial Intelligence|August 11, 2025
Artificial intelligence in the tourism business: a systematic reviewAlexandra Lorena López-Naranjo, Mariana Isabel Puente-Riofrio, Verónica Adriana Carrasco-Salazar, et al.Frontiers in Artificial Intelligence|August 12, 2025
Systematic analysis of hepatotoxicity: combining literature mining and AI language modelsChris Bauer, Long Tran Duc Dang, Twan van den Beucken, et al.Frontiers in Artificial Intelligence|August 7, 2025
A comparative study of bone density in elderly people measured with AI and QCTMin Guo, Yu Zhang, XinXin Gu, et al.Frontiers in Artificial Intelligence|September 11, 2025
Federated quantum-inspired anomaly detection using collaborative neural clientsDeepthi Godavarthi, Venkata Charan Sathvik Rekapalli, Sribidhya Mohanty, et al.Frontiers in Artificial Intelligence|September 8, 2025
Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachersHouda Amouri, Samia Haroud, Lynda Ouchaouka, et al.Frontiers in Artificial Intelligence|September 8, 2025
Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratificationWenqiang Li, Dongdong Yan, Wei Hu, et al.Pageof 261