Impact of Standardized Reporting Systems on Patient Experience in Radiology by Igor Toker MD, Sven Jansen PhD, Daniel Lorenz EdiR

“…Key points include adopting standardized systems, leveraging AI, and focusing on patient-centered communication. …”
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Artificial Intelligence-Powered Materials Science by Xiaopeng Bai, Xingcai Zhang

“…Highlights A detailed exploration is provided of how artificial intelligence (AI) and machine learning techniques are applied across various aspects of materials science. …”
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on Artificial Intelligence Epistemology with Contemporary Epistemologist Robert Audi by Nesibe Kantar

“…One of these controversial issues is about the effects of AI, which is a member of the world of Information technology. …”
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Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study by Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

“…The study demonstrated the potential role of AI in supplementing health care knowledge, with a need for continuous updating and verification of AI knowledge bases. …”
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The role of artificial intelligence in aortic valve stenosis: a bibliometric analysis by Shanshan Chen, Shanshan Chen, Changde Wu, Zhaojie Zhang, Lingjuan Liu, Yike Zhu, Dingji Hu, Chenhui Jin, Haoya Fu, Jing Wu, Songqiao Liu, Songqiao Liu, Songqiao Liu

“…PurposeTo explore the expanding role of artificial intelligence (AI) in managing aortic valve stenosis (AVS) by bibliometric analysis to identify research trends, key contributors, and the impact of AI on enhancing diagnostic and therapeutic strategies for AVS.MethodsA comprehensive literature review was conducted using the Web of Science database, covering publications from January 1990 to March 2024. …”
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Targeted reproductive management for lactating Holstein cows: Economic return by Ricardo C. Chebel, Tomas Gonzalez, Ana B. Montevecchio, Klibs N. Galvão, Albert de Vries, Rafael S. Bisinotto

“…We hypothesized that a TRM that relies heavily on AI of cows on AMD-detected estrus improves reproductive performance and economic return. …”
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Artificial Intelligence–Related Dental Research: Bibliometric and Altmetric Analysis by Wei Lu, Xueqian Yu, Yueyang Li, Yi Cao, Yanning Chen, Fang Hua

“…Background: Recent years have witnessed an explosive surge in dental research related to artificial intelligence (AI). These applications have optimised dental workflows, demonstrating significant clinical importance. …”
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Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…With the advancement of artificial intelligence (AI) and machine learning, the diagnostic efficiency of LNs is further enhanced. …”
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Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review by Francesco De Micco, Francesco De Micco, Gianmarco Di Palma, Gianmarco Di Palma, Davide Ferorelli, Anna De Benedictis, Anna De Benedictis, Luca Tomassini, Vittoradolfo Tambone, Mariano Cingolani, Roberto Scendoni, Roberto Scendoni

“…Studies reveal that AI can improve incident reporting accuracy, identify high-risk incidents, and automate classification processes. …”
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Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin by Jeffrey Huang, Simon Elias Bibri, Paul Keel

“…This research advances both the theoretical and practical dimensions of AI-driven, environmentally sustainable urban development by operationalizing GenAI and FMs within UDT frameworks. …”
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Using artificial intelligence based language interpretation in non-urgent paediatric emergency consultations: a clinical performance test and legal evaluation by Julia Brandenberger, Ian Stedman, Noah Stancati, Karen Sappleton, Sarathy Kanathasan, Jabeen Fayyaz, Devin Singh

“…Abstract Objective To evaluate the accuracy of Google Translate (GT) in translating low-acuity paediatric emergency consultations involving respiratory symptoms and fever, and to examine legal and policy implications of using AI-based language interpretation in healthcare. …”
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Artificial Intelligence Transforming Post-Translational Modification Research by Doo Nam Kim, Tianzhixi Yin, Tong Zhang, Alexandria K. Im, John R. Cort, Jordan C. Rozum, David Pollock, Wei-Jun Qian, Song Feng

“…In light of these implications, we have explored how artificial intelligence (AI) can be utilized in researching PTMs. Initially, rationales for adopting AI and its advantages in understanding the functions of PTMs are discussed. …”
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Rapid learning with phase-change memory-based in-memory computing through learning-to-learn by Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Thomas Limbacher, Enrique Piñero, Alejandro Linares-Barranco, Angeliki Pantazi, Robert Legenstein

“…Abstract There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. …”
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Evaluating the pathological and clinical implications of errors made by an artificial intelligence colon biopsy screening tool by Simon Graham, Andrew Robinson, Shivam Bhanderi, Harriet Evans, David Snead, Naveen Sivakumar, Abhilasha Patel

“…Objective Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. …”
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MoE-NuSeg: Enhancing nuclei segmentation in histology images with a two-stage Mixture of Experts network by Xuening Wu, Yiqing Shen, Qing Zhao, Yanlan Kang, Wenqiang Zhang

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Artificial intelligence in precision medicine for lung cancer: A bibliometric analysis by Yuchai Wang, Weilong Zhang, Xiang Liu, Li Tian, Wenjiao Li, Peng He, Sheng Huang, Fuyuan He, Xue Pan

“…Background The increasing body of evidence has been stimulating the application of artificial intelligence (AI) in precision medicine research for lung cancer. …”
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Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection by Vikas Gaur, Gaurav Maggu, Khushboo Bairwa, Suprakash Chaudhury, Sana Dhamija, Tahoora Ali

“…Materials and Methods: An AI model utilizing ANNs is devised for suicide risk prediction among exam-stressed students. …”
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Effect of Electroacupuncture at Acupoints of Yangming Meridian on Denervated Muscle Atrophy of Rats by Xuan CHEN, Xiaoran YE, Yiyi ZHUANG, Xiaoqing HUANG

“…Objective:To observe the effect of electroacupuncture at Yangming meridian acupoints on denervated muscular atrophy.Methods:A total of 60 SD rats were randomly divided into control group, model group, non-acupoint group, other meridian group and Yangming meridian group, with 12 cases in each group.Except for the control group, the left sciatic nerve were cut off in the other four groups.The control group and model group did not receive electro-acupuncture treatment; non-acupoint group, other meridian group and Yangming meridian group was treated by electro-acupuncture instrument (dense wave, frequency 2/33 Hz, intensity 1.5-2 mA).The non-acupoint group selected Zusanli acupoint and Shangjuxu acupoint 0.5 cm apart;other meridian group took Yinlingquan acupoint and Diji acupoint; Yangming meridian group took Zusanli and Shangjuxu acupoint, Once a day, 30 minutes a time, five days a course of treatment, continuous treatment for four courses.After treatment for four courses, the SFI, RWW, RCA, RFD, AI of affected/contralateral gastrocnemius muscle were observed, and the expression of PAX3/PAX7 was observed by double immunofluorescence staining.Results:Compared with the control group, SFI, RWW, RCA and RFD in the model group, non-acupoint group, other meridian group and Yangming meridian group decreased significantly, AI and PAX7 increased significantly, with statistically significant differences (<italic>P</italic>&lt;0.05); Compared with the model group, SFI, RCA, RFD and PAX7 in the other meridian group and Yangming meridian group increased significantly, AI decreased significantly, RWW and PAX3 in Yangming meridian group increased significantly, with statistically significant differences (<italic>P</italic>&lt;0.05); Compared with other meridian group, RWW, RCA, RFD, PAX3 in Yangming meridian group increased significantly, AI decreased significantly, with statistically significant differences (<italic>P</italic>&lt;0.05).Conclusion:Electroacupuncture at Yangming meridian acupoints can improve the function and histomorphology of denervated limbs, reduce the apoptotic level of muscle cells, promote the proliferation and differentiation of muscle cells, and effectively prevent and treat muscle atrophy of rats.…”
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Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method by Tathiany J. Ferreira, Igor C. Salvador, Carolina R. Pessanha, Renata R. M. da Silva, Aline D. Pereira, Maria A. Horst, Denise P. Carvalho, Josely C. Koury, Anna P. T. R. Pierucci

“…Abstract There is a growing need to evaluate the agreement between the field methods and integrate artificial intelligence (AI) using two-dimensional (2D) photos for enhanced real-world analysis. …”
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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

“…This research tackles the complexities of large-scale archaeological site detection by integrating Artificial Intelligence (AI) with LiDAR data, focusing on hillforts across diverse European landscapes. …”
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