Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2 by Igor Petrušić, Chia-Chun Chiang, David Garcia-Azorin, Woo-Seok Ha, Raffaele Ornello, Lanfranco Pellesi, Eloisa Rubio-Beltrán, Ruth Ruscheweyh, Marta Waliszewska-Prosół, William Wells-Gatnik

“…Furthermore, AI-driven advances in drug discovery leverage machine learning and generative AI to accelerate the identification of novel therapeutic targets and optimize treatment strategies for migraine and other headache disorders. …”
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ChatGPT in healthcare education: a double-edged sword of trends, challenges, and opportunities by Michael Agyemang Adarkwah, Samuel Anokye Badu, Evans Appiah Osei, Enoch Adu-Gyamfi, Jonathan Odame, Käthe Schneider

“…However, their use in healthcare education is contentious, warranting careful examination, especially regarding Generative AI (GenAI) tools like ChatGPT. This scoping review aims to explore the impact of ChatGPT on healthcare education and identify future research directions. …”
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GENERATIVE ARTIFICIAL INTELLIGENCE VS HUMANS IN THE PROCESS OF CREATING CORPORATE IDENTITY ELEMENTS by Kateryna P. Osadcha, Maryna V. Osadcha

“…As a result, conclusions were drawn about the expediency of using generative AI technology in the work of designers, in particular, for the development of corporate identity elements, and the appropriateness of studying generative artificial intelligence technology in the training of future designers. …”
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The PDC30 Chatbot—Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study by Sheung-Tak Cheng, Peter H F Ng

“…ObjectiveThis study describes the development of a generative AI chatbot—the PDC30 Chatbot—and evaluates its acceptability in a mixed methods study. …”
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“Scarlet Cloak and the Forest Adventure”: a preliminary study of the impact of AI on commonly used writing tools by Barbara Bordalejo, Davide Pafumi, Frank Onuh, A. K. M. Iftekhar Khalid, Morgan Slayde Pearce, Daniel Paul O’Donnell

“…Abstract This paper explores the growing complexity of detecting and differentiating generative AI from other AI interventions. Initially prompted by noticing how tools like Grammarly were being flagged by AI detection software, it examines how these popular tools such as Grammarly, EditPad, Writefull, and AI models such as ChatGPT and Microsoft Bing Copilot affect human-generated texts and how accurately current AI-detection systems, including Turnitin and GPTZero, can assess texts for use of these tools. …”
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From Heritage Building Information Modelling Towards an ‘Echo-Based’ Heritage Digital Twin by Hord Arsalan, David Heesom, Nigel Moore

“…However, the reliance on generative AI introduces potential risks of inaccuracies due to speculative outputs, necessitating rigorous validation and iterative refinement to ensure historical and architectural credibility. …”
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Evaluation of Problem Based Gamification Learning (PBGL) Model on Critical Thinking Ability with Artificial Intelligence Approach Integrated with ChatGPT API: An Experimental Study by Remerta Noni Naatonis, Rusijono Rusijono, Miftakhul Jannah, Edwin Ariesto Umbu Malahina

“…This research has the potential to be a reference in digital curriculum design with generative A.I approaches such as ChatGPT API, showing that A.I can enrich learning materials, personalized materials and provide flexibility for students and teachers in the digital era. …”
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Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

“…Introduction and Objectives: Oral diseases, including gingivitis and periodontitis, are linked to the Wnt signaling pathway, vital for bone metabolism, cementum homeostasis, and mesenchymal stem cell differentiation. Advances in generative AI techniques, such as variational autoencoders (VAEs) and quantum variational classifiers (QVCs), offer promising tools for predicting gene associations between drugs and diseases. …”
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Professional Barriers in Energy Efficiency Retrofits—A Solution Based on Information Flow Modeling by Xilong Liao, Chun Wang, Baiyi Li, Baizhan Li, Chenqiu Du

“…It is proposed that improved information integration and collaboration under this framework will significantly promote the advancement of professional generative AI.…”
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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots by Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya

“…The often reported “hallucinations” within GenerativeAI in general, and also relevant for ChatGPT, can render its use of limited benefit where accuracy is essential. …”
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Decolonization Projects by Cornelius Ewuoso

“…For example, to address prejudices and stereotypes in global health images, Arsenii Alenichev and his colleagues[11] successfully inverted “one stereotypical global health image” by prompting a generative AI to produce “an image of a traditional Indian or African healer healing a White Child.” …”
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Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions by Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil

“…The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases <inline-formula> <tex-math notation="LaTeX">$\text{R}_{ON}/\text{R}_{OFF}$ </tex-math></inline-formula> ratio and negatively affects the achieved accuracy and reliability of the hardware. …”
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Survey of Artificial Intelligence Model Marketplace by Mian Qian, Abubakar Ahmad Musa, Milon Biswas, Yifan Guo, Weixian Liao, Wei Yu

“…This paper serves as a blueprint for the development of next-generation AI marketplaces that meet the demands of both current and future application domains, ensuring sustainable growth and widespread adoption.…”
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A comprehensive review of AI-based collagen valorization: Recent trends, innovations in extraction, and applications by Arthi Srinivasan, Arun Gupta, Vigneswaran Narayanamurthy

“…The study explores the transformative role of artificial intelligence (AI) in optimizing collagen extraction processes, enhancing efficiency, yield, and quality while reducing energy consumption and waste generation. AI-driven methods have demonstrated improvements in energy efficiency by up to 40 % and reductions in waste by 45 %, enabling environmentally sustainable and cost-effective practices. …”
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