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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Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security by Gideon Sadikiel Mmbando

“…Several important tactics were covered, such as combining AI and RS to regulate risks, maximize resource utilization, and enhance agricultural practice choices. …”
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Gauging the dynamic interlinkage among robotics, artificial intelligence, and green crypto investment: A quantile VAR approach by Le Thanh Ha

“…The development and application of artificial intelligence (AI) are essential for attracting this investment because it has the potential to increase the adoption of environmental innovation and individual environmental awareness. …”
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Integration of blockchain and artificial intelligence as a mechanism for modernisation of various economic sectors by N. A. Kashevarova, M. E. Kulikova

“…The purpose of this article is to consider the prospects for the integration of blockchain and artificial intelligence (hereinafter referred to as AI) as an innovative approach to modernisation of various economic sectors. …”
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Current Status and Future Directions of Artificial Intelligence in Post-Traumatic Stress Disorder: A Literature Measurement Analysis by Ruoyu Wan, Ruohong Wan, Qing Xie, Anshu Hu, Wei Xie, Junjie Chen, Yuhan Liu

“…To promote more extensive and in-depth future research, it is crucial to prioritize the development of standardized protocols for AI implementation, foster interdisciplinary collaboration—especially between AI and neuroscience—and address public concerns about AI’s role in healthcare to enhance its acceptance and effectiveness.…”
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Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis by Rui Li, Tong Wu

“… BackgroundIncorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. …”
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Neuropedagogy and Neuroimaging of Artificial Intelligence and Deep Learning by Claudia De Barros Camargo , Antonio Hernández Fernández

“…Multiple regression analysis indicated that AI was the strongest predictor of deep learning (β = 0.39, p < .001). …”
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Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models by Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao

“…Objective This systematic review evaluates the performance and limitations of AI-based models for Degenerative cervical diseases (DCD) diagnosis using MRI. …”
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Results comparison of cervical cancer early detection using cerviray ® with VIA test by Ali Budi Harsono, Hadi Susiarno, Dodi Suardi, Kemala Isnainiasih Mantilidewi, Viko Duvadilan Wibowo, Yudi Mulyana Hidayat

“…Abstract Objectives This study investigates the performance of artificial intelligence (AI) technology, namely Cerviray AI®, compared with Cerviray® expert, aiming to compare its sensitivity, specificity, positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC ROC). …”
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Artificial Intelligence Methods Applied to Catalytic Cracking Processes by Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv

“…AI methods applied in product yield analysis build models based on massive data. …”
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Effect of Pore Size on the Biodegradation Rate of Silk Fibroin Scaffolds by Zuwei Luo, Qin Zhang, Meijing Shi, Yang Zhang, Wei Tao, Mingzhong Li

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Restorative Treatment of Amelogenesis Imperfecta with Prefabricated Composite Veneers by Claudio Novelli, Maurizio Pascadopoli, Andrea Scribante

“…This case report presents the use of prefabricated composite veneers for restorative treatment of amelogenesis imperfecta (AI). This technique bridges the gap between a conventional direct technique and a conventional indirect technique and introduces an alternative semidirect restorative technique for AI patients. …”
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A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

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Salivary Cortisol Determination in ACTH Stimulation Test to Diagnose Adrenal Insufficiency in Patients with Liver Cirrhosis by Lara Albert, Joaquím Profitós, Jordi Sánchez-Delgado, Ismael Capel, José Miguel González-Clemente, David Subías, Albert Cano, Eugenio Berlanga, Anna Espinal, Marta Hurtado, Rocío Pareja, Mercedes Rigla, Blai Dalmau, Mercedes Vergara, Mireia Miquel, Meritxell Casas, Olga Giménez-Palop

“…The prevalence of adrenal insufficiency (AI) in patients with decompensated liver cirrhosis is unknown. …”
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Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future by Vasileios Leivaditis, Eleftherios Beltsios, Athanasios Papatriantafyllou, Konstantinos Grapatsas, Francesk Mulita, Nikolaos Kontodimopoulos, Nikolaos G. Baikoussis, Levan Tchabashvili, Konstantinos Tasios, Ioannis Maroulis, Manfred Dahm, Efstratios Koletsis

“…<b>Background:</b> Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. …”
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Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study by Rongxue Shan, Chenhao Pei, Qianrui Fan, Junchuan Liu, Dawei Wang, Shifeng Yang, Ximing Wang

“…Purpose To evaluate the detection performance of an artificial intelligence (AI)-assisted platform for HCC by the external validation dataset. …”
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Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization by Luchen Chang, Jiamei Liu, Jialin Zhu, Shuyue Guo, Yao Wang, Zhiwei Zhou, Xi Wei

“…Artificial intelligence (AI) is significantly advancing precision medicine, particularly in the fields of immunogenomics, radiomics, and pathomics. …”
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Enhancing Artificial Intelligence on a Real Mobile Game by Fabio Aiolli, Claudio E. Palazzi

“…One of the aspects crucial to the commercial success of a game is ensuring an appropriately challenging artificial intelligence (AI) algorithm against which to play. However, creating this component is particularly complex as classic search AI algorithms cannot be employed by limited devices such as mobile phones or, even on more powerful computers, when considering imperfect information games (i.e., games in which participants do not a complete knowledge of the game state at any moment). …”
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Artificial intelligence applied to diabetes complications: a bibliometric analysis by Yukun Tao, Jinzheng Hou, Guangxin Zhou, Da Zhang

“…Background and aimsArtificial intelligence (AI)-driven medical assistive technology has been widely used in the diagnosis, treatment and prognosis of diabetes complications. …”
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Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector by Anubhuti Sood, Deepika Mishra, Varun Surya, Harpreet Singh, Rajesh Sundaresan, Debnath Pal, Raghu Dharmaraju, Rohit Satish, Shashwat Mishra, Nishant A. Chavan, Soham Mondal, Pavan Duggal, Venkateswaran K. Iyer

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