Evaluating the ability of large language models to emulate personality by Yilei Wang, Jiabao Zhao, Deniz S. Ones, Liang He, Xin Xu

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Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care by Masoumeh Farhadi Nia, Mohsen Ahmadi, Mohsen Ahmadi, Elyas Irankhah

“…This study delves into the impact of cutting-edge LLMs, notably OpenAI's ChatGPT, on medical diagnostics, with a keen focus on the dental sector. …”
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Holistic Framework for Blockchain-Based Halal Compliance in Supply Chains Enabled by Artificial Intelligence by Funlade Sunmola, George Baryannis, Albert Tan, Kenneth Co, Emmanuel Papadakis

“…This paper proposes a holistic framework for halal certification and compliance, addressing these challenges through the integration of artificial intelligence (AI) and blockchain technologies. AI can automate halal compliance checks, identify potential irregularities in sourcing and composition, and facilitate risk management. …”
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Multiparametric MRI and artificial intelligence in predicting and monitoring treatment response in bladder cancer by Yuki Arita, Thomas C. Kwee, Oguz Akin, Keisuke Shigeta, Ramesh Paudyal, Christian Roest, Ryo Ueda, Alfonso Lema-Dopico, Sunny Nalavenkata, Lisa Ruby, Noam Nissan, Hiromi Edo, Soichiro Yoshida, Amita Shukla-Dave, Lawrence H. Schwartz

“…Consistent mpMRI and AI applications need reliable validation in clinical practice. …”
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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review by Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Malek Sahlia, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

“… BackgroundArtificial intelligence (AI) predictive models in primary health care have the potential to enhance population health by rapidly and accurately identifying individuals who should receive care and health services. …”
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Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

“…With advancements in data science, there are several publications on the use of artificial intelligence (AI) models to estimate GA using ultrasound (US) images. …”
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Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

“…The integration of artificial intelligence (AI) into chronic disease management has enhanced patient care efficiency, optimized treatment strategies, and reduced healthcare costs, providing innovative solutions in this field. …”
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Artificial Intelligence Models May Aid in Predicting Lymph Node Metastasis in Patients with T1 Colorectal Cancer by Ji Eun Baek, Hahn Yi, Seung Wook Hong, Subin Song, Ji Young Lee, Sung Wook Hwang, Sang Hyoung Park, Dong-Hoon Yang, Byong Duk Ye, Seung-Jae Myung, Suk-Kyun Yang, Namkug Kim, Jeong-Sik Byeon

“…We aimed to validate the usefulness of artificial intelligence (AI) models for predicting LNM in patients with T1 CRC. …”
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Progress of automatic driving technology and future information service architecture evolution of telecom operators by Zhen YANG

“…The concept of artificial intelligence has been proposed for more than 60 years，with the development of internet of things and big data technology，more and more AI technology applications have been achieved.One of the most remarkable AI technology integration application is automatic driving technology.Firstly，the progress of automatic driving technology was studied.Secondly，key technologies of automatic driving were analyzed.Thirdly， the relationship between the telecom operator information service architecture and the requirements of automatic driving was analyzed.In the end，the technology breakthrough point of information service architecture with the core of application of artificial intelligence technology in the future were given.…”
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The dangerous biology of pathogenic germs by Berche, Patrick

“…It might even be possible to use AI to design new germs that could be used as biological weapons.…”
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Existence theorems for a second order m-point boundary value problem at resonance by Chaitan P. Gupta

“…Let η∈(0,1), ξi∈(0,1), ai≥0, i=1,2,…,m−2, with ∑i=1m−2ai=1, 0<ξ1<ξ2<…<ξm−2<1 be given. …”
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Que fait l’Intelligence Artificielle à l’intelligence ? by Eugène Favier-Baron

“…This article will consider Artificial Intelligence as a « dispositif naturalisé » in the sense of Yves Jeanneret, i.e. as a means of reifying a certain interpretation of human cognitive mechanisms, which in turn become a point of reference for what should be perceived as the characteristics of human intelligence. AI, revealing in this the ambiguity of the analogy that founds it, proceeds as an artifice of a modeling and thus of a degradation of reality. …”
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The Prevalence of Enteric Viruses in Bivalve Molluscs in a Farming Area in Liguria, Northwest Italy by Chiara Masotti, Laura Serracca, Erica Costa, Barbara Betti, Aitor Garcia-Vozmediano, Elisabetta Suffredini, Roberta Battistini

“…The prevalence of NoV was highest, with 32.7% (55/168) positive samples, followed by 18.4% (31/168) for AsV and 19.6% (33/168) for AiV. This study revealed, for the first time, the presence of AsV and AiV in molluscs farmed in this sea area. …”
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Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis by Feras Al-Obeidat, Wael Hafez, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Ivan Cherrez-Ojeda, Daniel Simancas-Racines

“…An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making.AimTo evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML).MethodsMedical databases including PubMed, Web of Science, and Scopus were searched until December 2023. …”
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Opening a career door!: The role of ChatGPT adoption in digital entrepreneurial opportunity recognition and exploitation by Cong Doanh Duong, Thi Thanh Hoa Phan, Bich Ngoc Nguyen, Thanh Van Pham, Ngoc Diep Do, Anh Trong Vu

“…This research advances the academic discourse by applying the SOR framework to the context of digital entrepreneurship, investigating how AI-driven stimuli influence cognitive and behavioral dimensions. …”
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Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning by Eduardo Cisternas Jiménez, Fang-Fang Yin, Fang-Fang Yin, Fang-Fang Yin

“…Mimicking human planning behavior, the AI system adjusts TPPs, represented as dose-volume constraints, to meet the prescribed dose goals. …”
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Effect of N-Acetylcysteine on Dyslipidemia and Carbohydrate Metabolism in STZ-Induced Diabetic Rats by Anderson Kiyoshi Kaga, Pedro Octavio Barbanera, Nágilla Orleanne Lima do Carmo, Lucas Rodolfo de Oliveira Rosa, Ana Angélica Henrique Fernandes

“…NAC improves lipid profile and decreases AI in STZ-induced diabetic rats.…”
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Artificial intelligence and machine learning techniques for power quality event classification: a focused review and future insights by Indu Sekhar Samanta, Sarthak Mohanty, Shubhranshu Mohan Parida, Pravat Kumar Rout, Subhasis Panda, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…Future research directions are outlined, emphasizing the development of hybrid models, explainable AI systems, and real-time adaptability to dynamic grid conditions. …”
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L’infermiere, una risorsa nel percorso assistenziale degli utenti con disturbo dello spettro autistico by Chiara Cesarini, Giulia Pintus, Emanuele Brai, Alessandro Delli Poggi

“…Introduzione: nel XXI secolo, le persone adulte con disturbo dello spettro autistico (ASD) grave, incontrano ancora innumerevoli ostacoli nell’accedere ai servizi di sanità pubblica e alle prestazioni sanitarie di cui necessitano. …”
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A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

“…Optimizing digital twins in the Industrial Internet of Things (IIoT) requires secure and adaptable AI models. The IIoT enables digital twins, virtual replicas of physical assets, to improve real-time decision-making, but challenges remain in trust, data security, and model accuracy. …”
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