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ORCIDFrontiers in Artificial Intelligence, Volume 8
Volume 8, 2025
- Julliana Caroline Goncalves de A. S. Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu:
Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology. - Karthik Menon, Thomas Tcheng, Cairn Seale, David Greene, Martha Morrell, Sharanya Arcot Desai:
Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files. - Pegah Ramezani, Achim Schilling, Patrick Krauss:
Analysis of argument structure constructions in the large language model BERT. - Ida Mohammadi, Setayesh Farahani
, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand:
Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis. - Rasita Vinay, Giovanni Spitale, Nikola Biller-Andorno, Federico Germani:
Emotional prompting amplifies disinformation generation in AI large language models. - Fawad Naseer, Abdullah Addas, Muhammad Tahir, Muhammad Nasir Khan, Noreen Sattar:
Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes. - Ranan Venancio, Vítor Filipe, Adelaide Cerveira, Lio Gonçalves:
Advanced driving assistance integration in electric motorcycles: road surface classification with a focus on gravel detection using deep learning. - Bilal Abu-Salih, Marwan Al-Tawil, Ansar Khoury, Dana Al Qudah, Isra'a Abu Zaid, Marwa Alabdale, Dima Azar:
MAD-Onto: an ontology design for mobile app development. - Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali:
An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer. - Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu:
Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn's disease: a systematic review and meta-analysis. - Ali R. Abdellah, Ahmed Abdelmoaty, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif, Ammar Muthanna, Andrey Koucheryavy:
Accurate V2X traffic prediction with deep learning architectures. - Xinguo Wang, Jinbo Zhao, Yufu Li, Zhibin Li:
Optimized design and performance evaluation of long-pressure-short-extraction ventilation and dust removal system based on the Coanda effect. - Ying Huang, Xiaokan Wang, Yong Zhang, Li Chen, Hongji Zhang:
Application of human-in-the-loop hybrid augmented intelligence approach in security inspection system. - Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro da Silva Rodrigues, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araujo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva:
Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs. - Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong:
Data augmentation via diffusion model to enhance AI fairness. - Faisal Binzagr, Anas Waleed Abulfaraj:
InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification. - Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, Herbert Imboga:
Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia. - Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai:
Making sense of transformer success. - Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang:
MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism. - Yanchen Wang, Lisa Singh:
Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty. - Barry Dauphin, Caleb Siefert:
From Llama to language: prompt-engineering allows general-purpose artificial intelligence to rate narratives like expert psychologists. - Illya Chaikovsky, Dmytro Dziuba, Olga Kryvova, Katerina Marushko, Julia Vakulenko, Kyrylo Malakhov, Oleg Loskutov:
Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome. - Sukriti Bhattacharya, German Castignani, Leandro Masello, Barry Sheehan:
AI revolution in insurance: bridging research and reality. - Ashraf Elnashar, Jules White, Douglas C. Schmidt:
Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles. - Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo:
Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea). - Eshetie Gizachew Addisu, Tahayu Gizachew Yirga, Hailu Gizachew Yirga, Alemu Demeke Yehuala:
Transfer learning-based hybrid VGG16-machine learning approach for heart disease detection with explainable artificial intelligence. - Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández:
Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review. - Nikolaos Kondylidis, Ilaria Tiddi, Annette ten Teije:
A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems. - Zheng Cao, Helyette Geman:
A hype-adjusted probability measure for NLP stock return forecasting. - Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin:
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. - Runyang Gao, Danghui Yu, Biao Gao, Heng Hua, Zhaoyang Hui, Jingquan Gao, Cha Yin:
Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways. - Naoufal Sirri, Christophe Guyeux:
Traditional vs. AI-generated meteorological risks for emergency predictions. - Che Wei Chang, Hanwei Wang, Feipei Lai, Mesakh Christian, Shih Chen Huang, Han Yi Tsai:
Comparison of 3D and 2D area measurement of acute burn wounds with LiDAR technique and deep learning model. - Renfei Liu, François Lauze, Erik J. Bekkers, Sune Darkner, Kenny Erleben:
SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation. - Raúl Jiménez-Cruz, Cornelio Yáñez-Márquez, Miguel González-Mendoza, Yenni Villuendas-Rey, Raúl Monroy:
Spherical model for Minimalist Machine Learning paradigm in handling complex databases. - Fethi Rabhi, Amin Beheshti, Asif Gill:
Editorial: Business transformation through AI-enabled technologies. - Igor Nesteruk:
General SIR model for visible and hidden epidemic dynamics. - James Horsley:
Mind the semantic gap: semantic efficiency in human computer interfaces. - Keshav Krishna:
Advancements in cache management: a review of machine learning innovations for enhanced performance and security. - Mini Han Wang, Jiazheng Cui, Simon Ming-Yuen Lee, Zhiyuan Lin, Peijin Zeng, Xinyue Li, Haoyang Liu, Yunxiao Liu, Yang Xu, Yapeng Wang, José Lopes Camilo Da Costa Alves, Guanghui Hou, Junbin Fang, Xiangrong Yu, Kelvin Kam Lung Chong, Yi Pan:
Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts. - Norah Othman Abanmy, Nadia Al-Ghreimil, Jawza F. Alsabhan, Heyam H. Al-Baity, Rana Aljadeed:
Evaluating the accuracy of ChatGPT in delivering patient instructions for medications: an exploratory case study. - Sharareh Shahidi Hamedani, Sarfraz Aslam, Shervin Shahidi Hamedani:
AI in business operations: driving urban growth and societal sustainability. - Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor:
XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging. - Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong:
Benefits, limits, and risks of ChatGPT in medicine. - Yuriy Dyachenko, Oleksandra Humenna, Oleg Soloviov, Inna Skarga-Bandurova, Nayden Nenkov:
LLM services in the management of social communications. - Vasiliki Bikia, Dionysios Adamopoulos, Marco Roffi, Georgios Rovas, Stéphane Noble, François Mach, Nikolaos Stergiopulos:
Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data. - Muhammad Syahriandi Adhantoro, Dedi Gunawan, Harun Joko Prayitno, Rahayu Febri Riyanti, Eko Purnomo, Adi Jufriansah:
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah. - Sahika Betul Yayli, Kutay Kiliç, Salih Beyaz:
Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods. - A. M. Mutawa, Ayshah Alrumaih:
Determining the meter of classical Arabic poetry using deep learning: a performance analysis. - Pralhad Gavali, J. Saira Banu:
A novel approach to Indian bird species identification: employing visual-acoustic fusion techniques for improved classification accuracy. - Vincent Zibi Mohale, Ibidun Christiana Obagbuwa:
A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity. - Yukun Tao, Jinzheng Hou, Guangxin Zhou, Da Zhang:
Artificial intelligence applied to diabetes complications: a bibliometric analysis. - Zhirui Zhou, Shuting Xiang, Qingxin Xie:
How could fit between polychronicity and multitasking shape employees' self-leadership? The moderating role of AI-empowered task processing. - Brian Travis Rice, Stacy Rasmus, Robert Onders, Timothy Thomas, Gretchen Day, Jeremy Wood, Carla Britton, Tina Hernandez-Boussard, Vanessa Hiratsuka:
Community-engaged artificial intelligence: an upstream, participatory design, development, testing, validation, use and monitoring framework for artificial intelligence and machine learning models in the Alaska Tribal Health System. - Paolo Giudici, Lunshuai Wu:
Sustainable artificial intelligence in finance: impact of ESG factors. - Maria Chiara Caschera, Patrizia Grifoni, Francesca Cordella:
Editorial: Human-centered artificial intelligence in interaction processes. - Deepshikha Shrivastava, Prerna Goswami:
Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization. - Marco Piastra, Patrizia Catellani:
On the emergent capabilities of ChatGPT 4 to estimate personality traits. - Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Amar Kumar, Joshua Durso-Finley, Tal Arbel, Douglas L. Arnold:
The role of AI for MRI-analysis in multiple sclerosis - A brief overview. - Yingjian Yang, Jie Zheng, Peng Guo, Qi Gao, Yingwei Guo, Ziran Chen, Chengcheng Liu, Tianqi Wu, Zhanglei Ouyang, Huai Chen, Yan Kang:
Three-stage registration pipeline for dynamic lung field of chest X-ray images based on convolutional neural networks. - Jean-Christophe Bélisle-Pipon:
AI, universal basic income, and power: symbolic violence in the tech elite's narrative. - Haruna Jallow, Alieu Gibba, Ronald Waweru Mwangi, Herbert Imboga:
GDP prediction of The Gambia using generative adversarial networks. - Isabella Saccardi, Judith Masthoff:
Adapting emotional support in teams: productivity, emotional stability, and conscientiousness. - Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl Alqahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah:
Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems. - Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. - M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti:
Role of artificial intelligence in smart grid - a mini review. - Martin Berki, Vanesa Andicsova, Milos Oravec:
NLP-enhanced inflation measurement using BERT and web scraping. - Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer, Kshipra Dhame, Gayathri Singaram:
Detection and classification of ChatGPT-generated content using deep transformer models. - Zhao Jinbo, Li Yufu, Mo Haitao:
Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method. - Laura González-Flores, Jessica Rubiano-Moreno, Guillermo Sosa Gómez:
The relevance of lead prioritization: a B2B lead scoring model based on machine learning. - Vahan Babushkin, Haneen Alsuradi, Muhamed Osman Al-Khalil, Mohamad A. Eid:
Analyzing handwriting legibility through hand kinematics. - Saurav Verma, Ashwini Rao:
A short report on deep learning synergy for decentralized smart grid cybersecurity. - Dongyu Liu, Cora Ames, Shameer Khader, Franck Rapaport:
SciLinker: a large-scale text mining framework for mapping associations among biological entities. - Raghavendra S., S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi:
MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition. - Mini Han Wang, Xudong Jiang, Peijin Zeng, Xinyue Li, Kelvin Kam Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan:
Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions. - Deborah M. Li, Shruti Parikh, Ana Costa:
A critical look into artificial intelligence and healthcare disparities. - Najla M. Aljehani, Fatima E. Al Nawees:
The current state, challenges, and future directions of artificial intelligence in healthcare in Saudi Arabia: systematic review. - Roberto Balestri:
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental. - Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy:
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms. - Niklas Bussmann, Paolo Giudici, Alessandra Tanda, Ellen Pei-Yi Yu:
Explainable machine learning to predict the cost of capital. - Denise E. Hilling, Imane Ihaddouchen, Stefan Buijsman, Reggie Townsend, Diederik Gommers, Michel E. van Genderen:
The imperative of diversity and equity for the adoption of responsible AI in healthcare. - Eduardo Cisternas Jiménez, Fang-Fang Yin:
Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning. - Vasavi Sanikommu, Sai Pravallika Marripudi, Harini Reddy Yekkanti, Revanth Divi, R. Chandrakanth, P. Mahindra:
Edge computing for detection of ship and ship port from remote sensing images using YOLO. - Wenwen Cheng, Chen Yu, Xiaohui Liu:
Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model. - Heather A. Noriega, Qizhao Wang, Daozhan Yu, Xiang Simon Wang:
Structural studies of Parvoviridae capsid assembly and evolution: implications for novel AAV vector design. - Gabriel Vargas-Monroy, Daissi-Bibiana Gonzalez-Roldan, Carlos Enrique Montenegro-Marín, Alejandro-Paolo Daza-Corredor, Daniel-David Leal-Lara:
Code generation system based on MDA and convolutional neural networks. - Anna Visibelli, Rebecca Finetti, Bianca Roncaglia, Paolo Poli, Ottavia Spiga, Annalisa Santucci:
Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatment. - Jessica D. Workum, Davy van de Sande, Diederik Gommers, Michel E. van Genderen:
Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare. - Othman A. Alrusaini:
Deep learning for steganalysis: evaluating model robustness against image transformations. - Boxiong Wei, Xiumei Zhang, Yuhong Shao, Xiuming Sun, Luzeng Chen:
Comparison of the accuracy of GPT-4 and resident physicians in differentiating benign and malignant thyroid nodules. - Chunyi Yan, Zexi Li, Yongzhou Liang, Shuran Shao, Fan Ma, Nanjun Zhang, Bowen Li, Chuan Wang, Kaiyu Zhou:
Assessing large language models as assistive tools in medical consultations for Kawasaki disease. - Kevin Godin-Dubois, Karine Miras, Anna V. Kononova:
AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents. - Lesia I. Mochurad:
Approach for enhancing the accuracy of semantic segmentation of chest X-ray images by edge detection and deep learning integration. - A. R. S. Silva, Y. H. P. P. Priyadarshana:
Ontology-based prompt tuning for news article summarization. - Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, Stefan Wellsandt, Katerina Lepenioti, Enrica Bosani, Gregoris Mentzas, Klaus-Dieter Thoben:
Augmented intelligence with voice assistance and automated machine learning in Industry 5.0. - Andrei V. Konstantinov, Boris V. Kozlov, Stanislav Kirpichenko, Lev V. Utkin, Vladimir Muliukha:
Dual feature-based and example-based explanation methods. - Hsin-Yueh Liang, Kai-Cheng Hsu, Shang-Yu Chien, Chen-Yu Yeh, Ting-Hsuan Sun, Meng-Hsuan Liu, Kee Koon Ng:
Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease. - Sepehr Ghazinoory, Fatemeh Parvin, Fatemeh Saghafi, Masoud Afshari-Mofrad, Nafiseh Ghazavi, Mehdi Fatemi:
Metaverse technology tree: a holistic view.
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