The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases by Bo Gao, Wendu Duan

“…It underscores the necessity for large-scale datasets, robust algorithms, and ethical considerations in clinical practice, which is crucial for facilitating the effective integration of AI technology and enhancing the diagnostic and therapeutic capabilities of liver diseases.…”
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Artificial intelligence in head neck cancer full of potential BUT filled with landmines by Shrikant Mali, Sachinkumar Dahivelkar, G.L. Pradeep

“…Oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing a unique opportunity to investigate the early integration of these technologies in clinical research and patient care. …”
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Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention by Dorota Bartusik-Aebisher, Kacper Rogóż, David Aebisher

“…<b>Conclusions</b>: Modern AI algorithms—especially deep neural networks—show promise in detecting arrhythmias, heart failure, prolonged QT syndrome, and other cardiovascular conditions. …”
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Bug Wars: Artificial Intelligence Strikes Back in Sepsis Management by Georgios I. Barkas, Ilias E. Dimeas, Ourania S. Kotsiou

“…Key challenges remain regarding data integration, algorithmic bias, and ethical implementation. …”
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Progressive role of artificial intelligence in treatment decision-making in the field of medical oncology by Archana Reddy Bongurala, Dhaval Save, Ankit Virmani

“…Ethical considerations, such as data privacy, algorithmic bias, and explainability, remain critical for responsible AI integration. …”
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Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…Barriers to trust included algorithmic opacity, insufficient training, and ethical challenges, while enabling factors for health care workers’ trust in AI-CDSS tools were transparency, usability, and clinical reliability. …”
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Navigating the Moral Maze: Ethical Challenges and Opportunities of Generative Chatbots in Global Higher Education by Dwi Mariyono, Akmal Nur Alif Hidayatullah

“…However, it also raises ethical concerns about data security, academic integrity, algorithmic bias, and learner autonomy. …”
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GPU-Accelerated CNN Inference for Onboard DQN-Based Routing in Dynamic LEO Satellite Networks by Changgeun Yu, Daeyeon Kim, Heoncheol Lee, Myonghun Han

“…This paper addresses the issue of onboard inference for AI-based routing algorithms in dynamic LEO (Low Earth Orbit) satellite networks. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. …”
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VPL geometry processing for open multilevel and multiscalar databases by E. Lanzara, G. Fatigati, S. Guardascione, M. T. Rapicano

“…Work in progress consists of testing the algorithmic database on the largest number of works and elements, also considering the integration of automatic AI Data annotation/comparison as possible future works.…”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…RecompGPT harmonizes cutting-edge algorithmic efficiency with human-centered aesthetics, pushing the boundaries of AI-driven scene analysis and visual recomposition. …”
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Multiagent, multitimescale aggregated regulation method for demand response considering spatial–temporal complementarity of user-side resources by Tingzhe Pan, Chao Li, Chen Yang, Zijie Meng, Zongyi Wang, Zean Zhu

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The impact of artificial intelligence on accounting practices: an academic perspective by Talal Fawzi Alruwaili, Mahfoudh Hussein Mgammal

“…Implementation success depends on directed education programs and robust regulations and ethical assessment to handle risks such as algorithmic biases, workforce displacement and integrity concerns. …”
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Navigating the Transformative Impact of Artificial Intelligence in Health Services Research by Guosong Wu, Fengjuan Yang

“…However, integrating AI into healthcare presents considerable ethical and practical challenges, including the need for robust data security, the mitigation of algorithmic biases, and the achievement of interoperability among diverse data systems. …”
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Artificial Intelligence in PR: Transformations of Communication Strategies and Campaigns by Maria Nikolova

“…With the increasing integration of AI-based technologies, such as machine learning algorithms, data analysis software, audience targeting, and real-time monitoring, PR practices have evolved significantly. …”
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Artificial Intelligence in Pediatric Orthopedics: A Comprehensive Review by Andrea Vescio, Gianluca Testa, Marco Sapienza, Filippo Familiari, Michele Mercurio, Giorgio Gasparini, Sergio de Salvatore, Fabrizio Donati, Federico Canavese, Vito Pavone

“…<i>Background and Objectives</i>: Artificial intelligence (AI) has seen rapid integration into various areas of medicine, particularly with the advancement of machine learning (ML) and deep learning (DL) techniques. …”
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Advancing Neurodegenerative Disease Management: Technical, Ethical, and Regulatory Insights from the NeuroPredict Platform by Marilena Ianculescu, Lidia Băjenaru, Ana-Mihaela Vasilevschi, Maria Gheorghe-Moisii, Cristina-Gabriela Gheorghe

“…Initial development of AI algorithms for disease monitoring, technical achievements, and constant enhancements driven by early user feedback are addressed in the discussion section. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…Limitations include a lack of data privacy insufficient practitioner training high implementation costs ethical concerns and incomplete standardization of AI algorithms. AI remains semi-automated relying heavily on high-quality datasets. …”
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Development of an artificial intelligence system for the forecasting of infectious diseases by A. A. Kuzin, R. I. Glushakov, S. A. Parfenov, K. V. Sapozhnikov, A. A. Lazarev

“…Integration of AI tools into the existing healthcare algorithms can be especially useful for public health.…”
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