AI-driven 3D bioprinting for regenerative medicine: From bench to bedside by Zhenrui Zhang, Xianhao Zhou, Yongcong Fang, Zhuo Xiong, Ting Zhang

“…This paper aims to present a systematic methodology for AI-driven 3D bioprinting, structured within the theoretical framework of Quality by Design (QbD). …”
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AI-IoT based smart agriculture pivot for plant diseases detection and treatment by Amin S. Ibrahim, Saeed Mohsen, I. M. Selim, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Mohamed Eassa

“…Thus, artificial intelligence (AI) technology cooperates with the Internet of Things (IoT) toward developing the agriculture use cases and transforming the agriculture industry into robustness and ecologically conscious. …”
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Designing Personalized Multimodal Mnemonics With AI: A Medical Student’s Implementation Tutorial by Noor Elabd, Zafirah Muhammad Rahman, Salma Ibrahim Abu Alinnin, Samiyah Jahan, Luciana Aparecida Campos, Ovidiu Constantin Baltatu

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AI-based teaching evaluations: How well do they reflect student perceptions? by Yossi Ben Zion, Shir Yakov, Einat Abramovitch, Gal Balter, Nitza Davidovitch

“…This study presents an innovative solution for evaluating university-level teaching quality using artificial intelligence (AI), focusing on key aspects such as clarity of explanation and lecture structure. …”
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AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

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A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species by Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş, Eda Kumru, Mehmet Serdar Güzel, Ilgaz Akata

“…This study presents a novel approach for classifying Discomycetes species using deep learning and explainable artificial intelligence (XAI) techniques. …”
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From understanding to justifying: Computational reliabilism for AI-based forensic evidence evaluation by Juan M. Durán, David van der Vloed, Arnout Ruifrok, Rolf J.F. Ypma

“…Techniques from artificial intelligence (AI) can be used in forensic evidence evaluation and are currently applied in biometric fields. …”
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BACAD: AI-based framework for detecting vertical broken access control attacks by Ahmed Anas, Ayman A. Alhelbawy, Salwa El Gamal, Basheer Youssef

“…The first step is user role classification using an advanced artificial intelligence (AI) model created in a learning phase. The learning phase includes BACAD initial configuration and application user roles traffic generation used for AI model training. …”
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Successful Management of Public Health Projects Driven by AI in a BANI Environment by Sergiy Bushuyev, Natalia Bushuyeva, Ivan Nekrasov, Igor Chumachenko

“…This study proposes an AI-driven framework to enhance the resilience and effectiveness of public health interventions under such conditions. …”
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Application of the YOLOv11-seg algorithm for AI-based landslide detection and recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

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Anesthesia depth prediction from drug infusion history using hybrid AI by Liang Wang, Yiqi Weng, Wenli Yu

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AI and IoT-powered edge device optimized for crop pest and disease detection by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu, Gervais Mwitende

“…While various technologies, such as the Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI), have been used, portable, cost-effective, and energy-efficient solutions suitable for resource-constrained environments such as edge applications in agriculture are needed. …”
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Can AI Technologies Support Clinical Supervision? Assessing the Potential of ChatGPT by Valeria Cioffi, Ottavio Ragozzino, Lucia Luciana Mosca, Enrico Moretto, Enrica Tortora, Annamaria Acocella, Claudia Montanari, Antonio Ferrara, Stefano Crispino, Elena Gigante, Alexander Lommatzsch, Mariano Pizzimenti, Efisio Temporin, Valentina Barlacchi, Claudio Billi, Giovanni Salonia, Raffaele Sperandeo

“…To achieve this, a clinical case was presented to three distinct groups (untrained AI, pre-trained AI, and qualified human supervisor), and their feedback was evaluated by Gestalt psychotherapy trainees using a Likert scale rating of satisfaction. …”
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Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI) by Sabrina Toro, Anna V. Anagnostopoulos, Susan M. Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, Damion M. Dooley, William D. Duncan, Petra Fey, Pascale Gaudet, Nomi L. Harris, Marcin P. Joachimiak, Leila Kiani, Tiago Lubiana, Monica C. Munoz-Torres, Shawn O‘Neil, David Osumi-Sutherland, Aleix Puig-Barbe, Justin T. Reese, Leonore Reiser, Sofia MC. Robb, Troy Ruemping, James Seager, Eric Sid, Ray Stefancsik, Magalie Weber, Valerie Wood, Melissa A. Haendel, Christopher J. Mungall

“…However, their construction and maintenance demand substantial resources and necessitate substantial collaboration between domain experts, curators, and ontology experts. We present Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI), an ontology generation method employing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…In addition, this study underscores the potential of AI in public health surveillance, particularly in enhancing responses to emerging infectious diseases such as monkeypox.…”
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From prompt to platform: an agentic AI workflow for healthcare simulation scenario design by Federico Lorenzo Barra, Giovanna Rodella, Alessandro Costa, Antonio Scalogna, Luca Carenzo, Alice Monzani, Francesco Della Corte

“…Abstract Healthcare simulation scenario design remains a resource-intensive process, demanding significant time and expertise from educators. This article presents an innovative AI-driven agentic workflow for healthcare simulation scenario development, bridging technical capability with pedagogical effectiveness. …”
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Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features by K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah

“…The goal of this project is to develop an AI‐powered Resume Analysis and Recommendation Tool, catering to the trend of recruiters spending less than 2 min on each CV. …”
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AI and Machine Learning for Precision Medicine in Acute Pancreatitis: A Narrative Review by Sandra López Gordo, Elena Ramirez-Maldonado, Maria Teresa Fernandez-Planas, Ernest Bombuy, Robert Memba, Rosa Jorba

“…Acute pancreatitis (AP) presents a significant clinical challenge due to its wide range of severity, from mild cases to life-threatening complications such as severe acute pancreatitis (SAP), necrosis, and multi-organ failure. …”
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Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis by Jothiraj Selvaraj, Kishwar Sadaf, Shabnam Mohamed Aslam, Snekhalatha Umapathy

“…This study highlights the potential of integrating AI-driven models into routine clinical practice to improve colorectal cancer screening outcomes and reduce diagnostic variability.…”
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