The Future Role of Medical Teachers as Influencers by Mohamed Mostafa Al-Eraky

“… In an era shaped by artificial intelligence (AI), digital transformation, and globalisation, the future of medical education is marked by uncertainty—but also by opportunity. …”
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Integrating artificial intelligence into public health education and healthcare: insights from the COVID-19 and monkeypox crises for future pandemic readiness by Mustapha Abdelouahed, Dana Yateem, Chadi Amzil, Ilyas Aribi, El Hassan Abdelwahed, Salim Fredericks

“…To highlight the potential benefits of AI in public health education, we discuss how AI-driven epidemiological modeling could play a crucial role in future outbreak preparedness, using the ongoing monkeypox virus (Mpox) outbreaks as a case study. …”
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Global research trends in the application of artificial intelligence in oncology care: a bibliometric study by Mianmian Xu, Yafang Chen, Tianen Wu, Yuyan Chen, Wanling Zhuang, Yinhui Huang, Chuanzhen Chen

“…AI in oncology nursing is entering a stage of rapid development, providing valuable reference for scholars and professionals in the field.…”
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The rise of synthetic ecosystems in agriculture: artificial intelligence as the future of urban food systems by J. Rad

“…Abstract As urbanization increases and climate challenges intensify, the future of food production may lie in AI-driven synthetic ecosystems. This comment explores the potential of creating fully autonomous, closed-loop agricultural systems within urban settings—powered by AI and robotics—to produce food with minimal human intervention, addressing food security, sustainability, and labour shortages.…”
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Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach by Tomas G Neilan, Judith Mueller, Samuel Peter Heilbroner, Reed Few, Jitesh Chalwa, Francois Charest, Somasekhar Suryadevara, Christine Kratt, Andres Gomez-Caminero, Brian Dreyfus

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Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey by Hoang Nguyen, Dina Nawara, Rasha Kashef

“…Further, advances in artificial intelligence (AI) significantly contribute to the growth of IoT. …”
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Annotated intraoral image dataset for dental caries detection by Syed Muhammad Faizan Ahmed, Muhammad Huzaifa Ghori, Aamna Khalid, Ayesha Nooruddin, Niha Adnan, Abhishek Lal, Fahad Umer

“…It comprises 6,313 images collected from individuals aged 10 to 24 years in Mithi, Sindh, Pakistan, with annotations created using LabelMe software. These annotations were meticulously verified by experienced dentists and converted into multiple formats, including YOLO (You Only Look Once), PASCAL VOC (Pattern Analysis, Statistical Modeling, and Computational Learning Visual Object Classes), COCO (Common Objects in Context) for compatibility with diverse AI models. …”
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Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology by Aslıhan Şahan Keskin, İlknur Eninanç

“…This study aimed to perform segmentation of both airways and soft tissues on panoramic radiographs simultaneously using an artificial intelligence (AI)-based model. Methods Segmentation masks were created by annotating the nasal, oral, and oropharyngeal airways, along with the tongue, soft palate, and uvula, on 1,004 panoramic radiographs. …”
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A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules by Hyunho Kim, Bongsung Bae, Minsu Park, Yewon Shin, Trey Ideker, Hojung Nam

“…We present Genotype-to-Drug Diffusion (G2D-Diff), a generative AI approach for creating small molecule-based drug structures tailored to specific cancer genotypes. …”
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Review of Detecting Text generated by ChatGPT Using Machine and Deep-Learning Models: A Tools and Methods Analysis by Shaymaa Dhyaa Aldeen, Thekra Abbas, Ayad Rodhan Abbas

“…The purpose of this literature review is to provide a comprehensive, up-to-date analysis of the most recent methods for identifying text that ChatGPT created. It examines more than 60 academic papers, especially research articles published after the model’s release in 2022, and analyzes state-of-the-art machine learning, deep learning, and hybrid approaches for detecting AI-generated text. …”
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Revolutionizing supramolecular materials design with artificial intelligence by Haoqi Zhu, Zhongyi Wang, Luofei Li, Liang Dong, Ying Li, Bin Xue, Yi Cao

“…Key challenges in applying AI include limited data availability, data quality issues, and the path-dependent nature of assembly processes. …”
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Artificial intelligence in foreign language learning: A bibliometric analysis by Yunus Doğan, Tarık Talan

“…Artificial intelligence [AI] has significant potential in foreign language learning and teaching, and various scientific studies that monitor, investigate, and examine developments in this field have been conducted for many years. …”
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Data-Driven Decision Support for Smart and Efficient Building Energy Retrofits: A Review by Amjad Baset, Muhyiddine Jradi

“…This review explores the novel integration of data-driven approaches, including artificial intelligence (AI) and machine learning (ML), in advancing building energy retrofits. …”
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Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing by Aydin Azizi

“…Recent advances in modern manufacturing industries have created a great need to track and identify objects and parts by obtaining real-time information. …”
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Chatbots’ Role in Generating Single Best Answer Questions for Undergraduate Medical Student Assessment: Comparative Analysis by Enjy Abouzeid, Rita Wassef, Ayesha Jawwad, Patricia Harris

“…ObjectiveThis study was designed to examine the content validity and consistency of different AI chatbots in creating single best answer (SBA) questions, a refined format of multiple choice questions better suited to assess higher levels of knowledge, for undergraduate medical students. …”
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Development of a rapid fiber-detection system using artificial intelligence in phase-contrast microscope images of actual atmospheric samples by Yukiko Iida, Takashi Yamamoto, Kazuharu Iwasaki, Ken-Ichi Yuki, Kentaro Kiri, Hayato Yamashiro, Toshiyuki Toyoguchi, Atsushi Terazono

“…From the acquired microscopic images and the fiber counting results by the expert analysts, we created a set of 98 training datasets. The Segformer, one of the semantic segmentation models that had achieved good accuracy in previous studies, was adopted as an AI model for automatic fiber detection system. …”
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Ecological Optimization Strategies for Chang’an Sandy Polder in Hangzhou Based on the Evolution of Landscape Patterns and Ecosystem Services by Weicheng LI, Shixian SHEN

“…This strategy also emphasizes creating visually appealing landscapes that enrich human experience. 3) Development of integrated dike – pond (Jitang) agricultural systems: The traditional “mulberry – dike fishpond” and “fruit – dike fishpond” systems can be revitalized to create sustainable, closed-loop farming practices. …”
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On the methods of minimizing the risks of implementing artificial intelligence in the financial business of a company by Eugeny Yu. Shchetinin, Leonid A. Sevastianov, Anastasia V. Demidova, Tatyana R. Velieva

“…The application of AI in the field of financial risk management puts forward new requirements for the system configuration and operation mode of financial supervision. …”
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Deep learning and artificial intelligence for drug discovery, application, challenge, and future perspectives by Nouman Ali, Nimra Hanif, Hassan Abbas Khan, Muhammad Abdullah Waseem, Afshan Saeed, Sadia Zakir, Abeeha Khan, Mejerrah Aamir, Adeeba Ali, Aamir Ali, Amna Saleem

“…We will explore the key role generative models play in creating new drug compounds and why interdisciplinary collaboration is essential to entirely using AI's potential for drug discovery. …”
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You are entitled to access the full text of this document Antecedents of intention to use project management among educational institution: Empirical study in Jordan by Raed Masadeh, Najwa Ashal, Naseem Mohammad Twaissi, Dmaithan Almajali, Maha Alkhaffaf, Bader Obeidat

“…Perceptions of users towards PLP, PLN and PLE were integrated into the technology acceptance model framework of this study, to understand their impact on the general attitude and satisfaction of learners. Using AI can enhance learner attitude and satisfaction while creating more engaging e-learning, proving the crucial role of AI in forming the right environment through learner profile match.…”
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