Artificial intelligence in prostate cancer by Wei Li, Ruoyu Hu, Quan Zhang, Zhangsheng Yu, Longxin Deng, Xinhao Zhu, Yujia Xia, Zijian Song, Alessia Cimadamore, Fei Chen, Antonio Lopez-Beltran, Rodolfo Montironi, Liang Cheng, Rui Chen, Yuanyuan Ji

“…The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…Ensuring AI algorithms are unbiased, and fair is a challenge to avoid disparities in healthcare outcomes. …”
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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…The CatBoost (CATB) algorithm was optimized via 5-fold cross-validation and random grid search using 24 routine blood parameters. …”
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Artificial intelligence in gastric cancer diagnosis, treatment and prognostic prediction: current application and future perspective by PENG Dongge, WAN Ziye, LU Ning

“…However, despite these promising advancements, the clinical implementation of AI in gastric cancer remains hindered by challenges such as the lack of standardized datasets, limited model generalizability, and insufficient algorithm interpretability. …”
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Using Drones and Artificial Intelligence to Assess Damage in Aircraft Assembly Joints by Filip Kubik, Marcin Krysiak

“…The study demonstrates how AI algorithms can process high-resolution images and sensor data to identify and classify defects. …”
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The use of artificial intelligence in stereotactic ablative body radiotherapy for hepatocellular carcinoma by Atsuto Katano

“…The integration of artificial intelligence (AI) into stereotactic ablative body radiotherapy (SABR) for hepatocellular carcinoma (HCC) is transforming the landscape of liver cancer treatment. …”
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Challenges and Applications of Artificial Intelligence in Education: A Systematic Review by Saeid Arifnejad, Asadolah khadivi, Farhad Alipour

“…Additionally, it facilitates efficient teaching methodologies, automates grading and assessment, and optimizes resource allocation. The integration of AI can significantly improve the quality of education.Value: This research contributes to bridging the knowledge gap regarding AI applications in education while identifying key challenges for educators and policymakers.…”
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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…In addition to its strong classification ability, the model exhibits favorable interpretability through its multi-channel design, and the hybrid masking strategy supports data minimization and privacy protection, aligning with ethical AI principles. This approach holds promise for integration into clinical decision support systems for improved triage accuracy. …”
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Use of artificial intelligence in the diagnosis, treatment and surveillance of patients with kidney cancer by E. Yu. Timofeeva, С. R. Azilgareeva, A. O. Morozov, M. S. Taratkin, D. V. Enikeev

“…AI model algorithms may be used to identify patients at high risk of relapse requiring long-term follow-up, as well as to develop individual treatment and follow-up strategies. …”
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Radiative cooling technology with artificial intelligence by Yeongju Jung, Seung Hwan Ko

“…AI, capable of mimicking or exceeding human capabilities through various algorithms, enables the efficient optimization of RC structures. …”
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Optimization of sports injury treatment through artificial intelligence: Methods for effective prevention, diagnosis and rehabilitation by Kimi Milić Marko, Sinanović Šćepan, Jestrović Vladimir

“…The paper concludes by emphasizing the need for further integration of AI technologies into sports medicine and the development of tailored AI solutions that address the specific needs of athletes, considering various risk factors and individual training characteristics.…”
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Artificial Intelligence in Medicine: Transforming The Future of Healthcare by Tashfeen Alam Jan, Shumaila Naz

“…Ensuring data privacy, promoting algorithm transparency, and maintaining fairness in AI-driven healthcare solutions are key concerns. …”
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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…The study looks at implementation challenges for AI-based diagnostic systems, including data dependencies, processing demands, and model interpretability, in addition to highlighting recent advances such as digital twins, explainable AI, and IoT integration. …”
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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

“…Current challenges include data security, algorithmic bias, and ethical compliance. Conclusion: While AI shows promise in advancing dental diagnostics and treatment accuracy, successful clinical integration requires addressing privacy concerns, establishing regulatory standards, and developing comprehensive professional training programs. …”
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Sensor-free, Camera-only: Low-cost multi-angle CPR skill assessments method based on computer vision by Longxin Liu, Cen Wu, Jiafeng Liu, Jiayi Yu, Meng Bi, Hong Yu

“…While artificial intelligence (AI) has shown promise, many AI-based methods still depend on expensive, sensor-laden equipment. …”
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Efficacy of artificial intelligence-based FFR technology for coronary CTA stenosis detection in clinical management of coronary artery disease: a systematic review by Tong Liu, Ming Liu, Ailiyaerjiang Aisika, Palidanmu Wumaier, Abudukeyoumujiang Abulizi, Abudukeyoumujiang Abulizi, Jingru Wang, Mayidili Nijiati, Mayidili Nijiati

“…Coronary computed tomography angiography (CCTA) integrated with artificial intelligence (AI) technology, particularly AI-based fractional flow reserve (FFR) assessment, has emerged as a crucial tool in the diagnosis and treatment of coronary artery disease (CAD). …”
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Artificial Intelligence in Fetal and Pediatric Echocardiography by Alan Wang, Tam T. Doan, Charitha Reddy, Pei-Ni Jone

“…Despite these promising advancements, challenges such as small number of datasets, algorithm transparency, physician comfort with AI, and accessibility must be addressed to fully integrate AI into practice. …”
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Advancements in Chemical Materials: Exploring Smart Storage Equipment and Protection Systems (Review) by Samah Kamil, Mohammed Al-Turfi, Riyadh Almukhtar

“…Results showed breakthroughs in sensor technologies, systems integration, and AI algorithms for real-time storage facility monitoring, danger identification, and predictive analytics. …”
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Non-Invasive Brain Stimulation and Artificial Intelligence in Communication Neuroprosthetics: A Bidirectional Approach for Speech and Hearing Impairments by Thorsten Rudroff

“…Traditional approaches typically target only one aspect of communication, while this framework supports the complete communication cycle. The integration of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) with advanced AI algorithms enables the personalized, adaptive enhancement of neural signals for both speaking and listening functions. …”
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Artificial Intelligence and Breast Cancer Management: From Data to the Clinic by Kaixiang Feng, Zongbi Yi, Binghe Xu

“…Furthermore, this article emphasizes the significance of constructing patient‐oriented AI algorithms. Additionally, we explore the opportunities and potential research directions within this burgeoning field.…”
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