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Frontiers in Artificial Intelligence|January 22, 2025
Corrigendum: Person-based design and evaluation of MIA, a digital medical interview assistant for radiologyKerstin Denecke, Daniel Reichenpfader, Dominic Willi, et al.Frontiers in Artificial Intelligence|January 22, 2025
Countering AI-powered disinformation through national regulation: learning from the case of UkraineAnatolii Marushchak, Stanislav Petrov, Anayit KhoperiyaFrontiers in Artificial Intelligence|November 14, 2024
Political ideology shapes support for the use of AI in policy-makingTamar Gur, Boaz Hameiri, Yossi MaaraviFrontiers in Artificial Intelligence|November 14, 2024
Patient-centric knowledge graphs: a survey of current methods, challenges, and applicationsHassan S Al Khatib, Subash Neupane, Harish Kumar Manchukonda, et al.Frontiers in Artificial Intelligence|November 1, 2024
Intrinsic motivation in cognitive architecture: intellectual curiosity originated from pattern discoveryKazuma Nagashima, Junya Morita, Yugo TakeuchiFrontiers in Artificial Intelligence|November 8, 2024
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessmentsStefan Haas, Konstantin Hegestweiler, Michael Rapp, et al.Frontiers in Artificial Intelligence|November 7, 2024
Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary computed tomography angiographyYan Xi, Yi Xu, Zheng ShuFrontiers in Artificial Intelligence|November 26, 2024
Exploring the utilization and deficiencies of Generative Artificial Intelligence in students' cognitive and emotional needs: a systematic mini-reviewElvis Ortega-Ochoa, Josep-Maria Sabaté, Marta Arguedas, et al.Frontiers in Artificial Intelligence|December 3, 2024
The effect of AI on pink marketing: the case of women's purchasing behavior using mobile applicationsHasan BeyariFrontiers in Artificial Intelligence|November 21, 2024
Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniquesWilliam Villegas-Ch, Jaime Govea, Walter Gaibor-Naranjo, et al.Pageof 263