Integrating generative AI into STEM education: enhancing conceptual understanding, addressing misconceptions, and assessing student acceptance by Tarik El Fathi, Aouatif Saad, Hayat Larhzil, Driss Lamri, El Mehdi Al Ibrahmi

“…Abstract Advancements in artificial intelligence (AI), particularly generative AI models such as ChatGPT, offer transformative opportunities to enhance educational practices in STEM disciplines. …”
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…This study presents a comparative analysis of AI-based approaches against conventional methods, demonstrating their superiority in three key areas: (1) improved computational efficiency through optimized learning architectures, (2) enhanced spatial generalizability by capturing complex, nonlinear patterns, and (3) greater prediction stability under varying conditions. …”
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SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins by Xiaobo Lin, Zhaoqian Su, Yunchao Lance Liu, Jingxian Liu, Xiaohan Kuang, Peter T. Cummings, Jesse Spencer-Smith, Jens Meiler

“…To address this challenge, we present SuperMetal, a generative AI framework that leverages a score-based diffusion model coupled with a confidence model to predict metal-binding sites in proteins with high precision and efficiency. …”
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A Hybrid AI Approach for Fault Detection in Induction Motors Under Dynamic Speed and Load Operations by Muhammad Irfan Ishaq, Muhammad Adnan, Muhammad Ali Akbar, Amine Bermak, Nimra Saeed, Maaz Ansar

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Journaling with large language models: a novel UX paradigm for AI-driven personal health management by Birger Moëll, Fredrik Sand Aronsson, Fredrik Sand Aronsson

“…IntroductionThe integration of large language models (LLMs) into personal health management presents transformative potential, but faces critical challenges in user experience (UX) design, ethical implementation, and clinical integration.MethodThis paper introduces a novel AI-driven journaling application, a functional prototype available open source, designed to encourage patient engagement through a natural language interface. …”
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view by Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekani, Ahmad Bitarafan-Rajabi, Kouhyar Geravand, Parham Geramifar

“…Abstract This study aims to enhance the dosimetry accuracy in 131I planar imaging by utilizing a single oblique view and Monte Carlo (MC) validated dose point kernels (DPKs) alongside the integration of artificial intelligence (AI) for accurate dose prediction within planar imaging. …”
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Advanced thermal management with heat pipes in lithium-ion battery systems: Innovations and AI-driven optimization by Mehwish Khan Mahek, Mohamad Ramadan, Mohammed Ghazal, Fahid Riaz, Daniel S. Choi, Mohammad Alkhedher

“…This review examines the most recent BTMS that are based on HPs, with a particular emphasis on the role of artificial intelligence (AI) in optimizing thermal performance. It also addresses significant distinctions from prior research, including AI-driven predictive models and hybrid cooling techniques. …”
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The Perceived Concerns of Nurse Educators' Use of GenAI in Nursing Education: Protocol for a Scoping Review by Denise R. Gehring, Sharon K. Titus, Ragi George

“…ABSTRACT Background/Aims Since the emergence of generative AI (GenAI) in fall 2022, its impact on higher education has been significant yet under‐researched, leading to mixed reactions among nurse educators, ranging from enthusiasm to skepticism. …”
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Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes by Fawad Naseer, Abdullah Addas, Abdullah Addas, Muhammad Tahir, Muhammad Nasir Khan, Noreen Sattar

“…The need for effective and personalized in-home solutions will continue to rise with the world population of elderly individuals expected to surpass 1.6 billion by the year 2050. The study presents a system that merges Generative Adversarial Network (GAN) with IoT-enabled adaptive artificial intelligence (AI) framework for transforming personalized elderly care within the smart home environment. …”
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AI-ENGAGE: A Multicentre Intervention to Support Teaching and Learning Engagement with Generative Artificial Intelligence Tools by Keelin Leahy, Ekin Ozer, Eoin P. Cummins

“…The emergence of generative artificial intelligence (GenAI) chatbots, such as ChatGPT, presents unique challenges and opportunities in an educational setting; however, they lack empirical evidence as teaching and learning tools. …”
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Exploring the Role of AI and Teacher Competencies on Instructional Planning and Student Performance in an Outcome-Based Education System by Wafa Naif Alwakid, Nisar Ahmed Dahri, Mamoona Humayun, Ghadah Naif Alwakid

“…Based on the Technological Pedagogical Content Knowledge (TPACK) model and the OBE system, this present study investigates how teachers perceive AI applications, specifically ChatGPT, in enhancing instructional design and student performance. …”
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AI-based measurement of cardiothoracic ratio in chest X-rays and prediction of echocardiographic congestive heart failure by Joshua Ra, Heejun Shin, Christopher Park, Yong-Xiang Wang, Dongmyung Shin

“…Background: This study presents an artificial intelligence (AI) model for automated cardiothoracic ratio (CTR) measurement from chest X-rays (CXRs) and evaluates its association with severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) diagnosed by echocardiography. …”
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Use of explainable AI on slit-lamp images of anterior surface of eyes to diagnose allergic conjunctival diseases by Michiko Yonehara, Yuji Nakagawa, Yuji Ayatsuka, Yuko Hara, Jun Shoji, Nobuyuki Ebihara, Takenori Inomata, Tianxiang Huang, Ken Nagino, Ken Fukuda, Tatsuma Kishimoto, Tamaki Sumi, Atsuki Fukushima, Hiroshi Fujishima, Moeko Kawai, Etsuko Takamura, Eiichi Uchio, Kenichi Namba, Ayumi Koyama, Tomoko Haruki, Shin-ich Sasaki, Yumiko Shimizu, Dai Miyazaki

“…However, its development is slowed by the absence of a tailored image database and explainable AI models. Thus, the purpose of this study was to develop an explainable AI model that can not only diagnose ACDs but also present the basis for the diagnosis. …”
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Predicting sepsis treatment decisions in the paediatric emergency department using machine learning: the AiSEPTRON study by Damian Roland, Ewan Carr, Akash Deep, Sylvester Gomes, Harpreet Dhanoa, Phil Assheton

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Optimizing Stroke Recognition With MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis by Reshad Ul Karim, Sammam Mahdi, Abrar Samin, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

“…A comprehensive dataset of stroke and non-stroke facial images are curated, with MediaPipe extracting 228 facial landmarks from key regions affected by stroke-related asymmetry. Explainable AI (XAI) techniques are applied to enhance model interpretability, allowing for a deeper understanding of the most significant facial regions contributing to stroke prediction. …”
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Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations by Monika Nair, Jens Nygren, Per Nilsen, Per Nilsen, Fabio Gama, Margit Neher, Ingrid Larsson, Petra Svedberg

“…AI implementation presents challenges beyond the technology development which necessitates standardized approaches to implementation. …”
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IMPROVING PREDICTION OF DEPRESSION AN ANALYTICAL COMPARISON BETWEEN HYBRID AI, MACHINE LEARNING AND DEEP LEARNING APPROACHES by Kanchapogu Naga Raju, Sachi Nandan Mohanty

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Application of AI-assisted multi-advisor system combined with BOPPPS teaching model in clinical pharmacy education by Qianqian Ye, Shu Wang, Yufeng Liu, Jinque Luo, Ziwei Deng, Shao Liu, Yueping Jiang

“…This research offers a replicable model for AI-driven educational transformation in clinical pharmacy training.…”
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“Voice is the New Blood”: a discourse analysis of voice AI health-tech start-up websites by Alden Blatter, Hortense Gallois, Emily Evangelista, Yael Bensoussan, Bridge2AI-Voice Consortium, Jean-Christophe Bélisle-Pipon, Yael E. Bensoussan, Olivier Elemento, Jean-Christophe Bélisle-Pipon, David Dorr, Satrajit Ghosh, Alistair Johnson, Phillip Payne, Maria E. Powell, Anaïs Rameau, Vardit Ravitsky, Alexandros Sigaras

“…Their discourse seems to strategically present voice AI health-tech as legitimate by using promissory language typical in the digital health field and showcase the distinctiveness from competitors. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…This Artificial Intelligence (AI) powered system promotes a more transparent and efficient MBB experience for all stakeholders in Nigeria's fast evolving digital landscape.…”
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