Telemedicine in Diabetic Retinal Screening: Pre- and Post-COVID-19 Challenges a New Perspective by Arshi Baig, Azhar Zafar

“…The image analysis by AI and deep-learning algorithms offers insight into the future of screening in diabetes. …”
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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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Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence by Youcef Derbal

“…As such, the study is expected to help facilitate the design of clinical trials of GenAI-supported cancer treatments.…”
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Enlarged airspaces in the distal lung in adolescents born very preterm as measured by aerosol by Per Wollmer, Cecilia Hagman, Madeleine Petersson Sjögren, Jakob Löndahl, Ellen Tufvesson, Hugo Öhrneman, Frida Lindström, Jenny Rissler

“…Of the preterms, 17 were diagnosed with BPD. The AiDA method was used to measure the average distal airspace radius (rAiDA) in the lungs. …”
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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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Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare by Bryan A. Sisk, Alison L. Antes, Sunny C. Lin, Paige Nong, James M. DuBois

“…Abstract Objectives Patient engagement is critical for the effective development and use of artificial intelligence (AI)‐enabled tools in learning health systems (LHSs). …”
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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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A Comprehensive Review of Artificial Intelligence Applications in the Photovoltaic Systems by Jiaming Hu, Boon-Han Lim, Xiaoyun Tian, Kang Wang, Dachuan Xu, Feng Zhang, Yong Zhang

“…Integrating artificial intelligence (AI) into photovoltaic (PV) systems has become a revolutionary approach to improving the efficiency, reliability, and predictability of solar power generation. …”
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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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EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals by Hyo Jin Jon, Longbin Jin, Hyuntaek Jung, Hyunseo Kim, Eun Yi Kim

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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 in CT diagnosis: Current status and future prospects for ear diseases by Ruowei Tang, Pengfei Zhao, Jia Li, Zhixiang Wang, Ning Xu, Zhenchang Wang

“…Artificial intelligence (AI) has brought significant breakthroughs in the CT diagnosis. …”
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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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Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration by Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, Mukesh Kumar Dharmalingam Jothinathan

“…AI in oral cancer treatment comes along with advanced diagnostics and prognostics of AI to cure oral cancer better. …”
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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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Artificial Intelligence And Its Effect On Labor Market-with Reference To The Area Of Middle East And North Africa- by Ibtissem Alliouche Kerboua

“…Based on the statistics and studies provided, the study reached that the impact of AI on the labor market is complicated and multifaceted, with both opportunities and challenges. …”
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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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Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism by Lu Lin, Yijia Zheng, Yanyu Li, Difei Jiang, Jian Cao, Jian Wang, Yueting Xiao, Xinsheng Mao, Chao Zheng, Yining Wang

“…This study aims to design and test an efficient artificial intelligence (AI) model capable of automating coronary artery segmentation and reformation from CMRA images for coronary artery disease (CAD) diagnosis. …”
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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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