Introducing the Team Card: Enhancing governance for medical Artificial Intelligence (AI) systems in the age of complexity. by Lesedi Mamodise Modise, Mahsa Alborzi Avanaki, Saleem Ameen, Leo A Celi, Victor Xin Yuan Chen, Ashley Cordes, Matthew Elmore, Amelia Fiske, Jack Gallifant, Megan Hayes, Alvin Marcelo, Joao Matos, Luis Nakayama, Ezinwanne Ozoani, Benjamin C Silverman, Donnella S Comeau

“…This represents a critical step toward developing inclusive, ethical, and effective AI systems in clinical care. A publicly available prototype presenting our TC is accessible at https://www.teamcard.io/team/demo.…”
Get full text

Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection by Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar

“…Early detection of breast cancer can help patients better manage their condition and increase their chances of survival. However, traditional AI models frequently conceal their decision-making processes and are mainly tailored for classification tasks. …”
Get full text

Mechanisms and modelling of diffusion in solids: a multiscale framework with industrial case studies and AI enhancements by Obinna Onyebuchi Barah, Faith Natukunda, Ige Bori, Kelechi John Ukagwu

“…The review also explores the emerging role of artificial intelligence (AI) and machine learning (ML) in predicting diffusion coefficients, activation barriers, and optimal processing conditions. …”
Get full text

AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…The emergence of artificial intelligence (AI) technologies offers unprecedented opportunities for precision diagnosis and personalized treatment strategies in PD management.ObjectiveThis study aims to comprehensively review current AI applications in Parkinson’s disease diagnosis and treatment, evaluate existing methodologies, and present experimental results from a novel multimodal AI diagnostic framework.MethodsA systematic review was conducted across PubMed, IEEE Xplore, and Web of Science databases from 2018 to 2024, focusing on AI applications in PD diagnosis and treatment. …”
Get full text

Developing and evaluating the fidelity of virtual reality-artificial intelligence (VR-AI) environment for situated learning by April Tan, April Tan, Michael C. Dorneich, Elena Cotos

“…This study focuses on developing, operationalizing, and evaluating the fidelity of the VR-AI environment across four key dimensions: physical, functional, psychological, and social fidelity.MethodsTwenty participants tested the environment, completing two learning tasks: engaging with poster presenters and reflecting with a major professor. …”
Get full text

Generative AI for Industry 5.0: Analyzing the Impact of ChatGPT, DALLE, and Other Models by Siva Sai, Revant Sai, Vinay Chamola

“…Ethical challenges, including issues of privacy and the necessity for unbiased AI-driven decisions, are explored, alongside technical obstacles such as data fragmentation and the safeguarding of sensitive information. …”
Get full text

Unveiling Mounier–Kuhn syndrome: clinical phenotypes, imaging challenges, AI applications, and review of literature by Adriano Costigliola, Antonio Sorrentino, Marta Iavarone, Antonio Ricci, Roberta Lieto, Gaetano Rea

Get full text

The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries by Nicholas Ngepah, Charles S. Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba

“…Conclusion AI presents a transformative solution for reducing maternal mortality, particularly in low-resource settings. …”
Get full text

Multi-omics and AI-driven immune subtyping to optimize neoantigen-based vaccines for colorectal cancer by Karthick Vasudevan, Dhanushkumar T, Sripad Rama Hebbar, Prasanna Kumar Selvam, Majji Rambabu, Krishnan Anbarasu, Karunakaran Rohini

“…Abstract Colorectal cancer (CRC) presents significant challenges due to limited targeted therapeutic options. …”
Get full text

A clinically applicable AI system for detection and diagnosis of bone metastases using CT scans by Yun Zhang, Jiao Li, Qiuxia Yang, Shaohan Yin, Jing Hou, Xiaohuan Cao, Shanshan Ma, Bin Wang, Ma Luo, Fan Zhou, Jiahui Xu, Shiyuan Wang, Yi Wu, Jian Zhang, Xiao Luo, Zehong Yang, Weimei Ma, Daiying Lin, Yiqiang Zhan, Xiang Sean Zhou, Xiaoping Yu, Dinggang Shen, Rong Zhang, Chuanmiao Xie

Get full text

AI-empowered online control optimization for enhanced efficiency and robustness of building central cooling systems by Lingyun Xie, Kui Shan, Hong Tang, Shengwei Wang

“…This paper addresses these challenges by presenting AI-empowered online control optimization technologies designed for practical implementation. …”
Get full text

AI-driven FMEA: integration of large language models for faster and more accurate risk analysis by Ibtissam El Hassani, Tawfik Masrour, Nouhan Kourouma, Jože Tavčar

“…In this paper, a novel framework to improve the FMEA process by integrating generative artificial intelligence (AI), in particular large language models (LLMs), is presented. …”
Get full text

An Effective Tree-Structured AI Model for Reducing Overhead of Life Cycle Management in Wireless Communication by Yingshuang Bai, Zhaohui Huang, Chen Sun, Yujie Zhang, Tao Cui, Samuel Atungsiri

“…Artificial intelligence (AI) has been widely applied across various industries, including wireless communication. …”
Get full text

Harnessing AI forward and backward chaining with telemetry data for enhanced diagnostics and prognostics of smart devices by Muhammad Shoaib Farooq, Rizwan Pervez Mir, Atif Alvi, Kilian Tutusaus, Eduardo Garcia Villena, Fadwa Alrowais, Hanen Karamti, Imran Ashraf

“…Abstract In the rapidly evolving landscape of artificial intelligence (AI) and the Internet of Things (IoT), the significance of device diagnostics and prognostics is paramount for guaranteeing the dependable operation and upkeep of intricate systems. …”
Get full text

D2: An LLM agent driving end-to-end visual AI modeling in energy platforms by Yu Li, Qiaoqiao Zhao, Min Hou, Quansheng Bai, Xiyan Zou, Changle Xie, Chang Shu, Boyang Ma, Zhijin Li

“…This study presents X-AI, a domain-native, agent-driven, and end-to-end modeling platform developed to support digital transformation in the energy sector. …”
Get full text

Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era by William Yi Wang, Suyang Zhang, Gaonan Li, Jiaqi Lu, Yong Ren, Xinchao Wang, Xingyu Gao, Yanjing Su, Haifeng Song, Jinshan Li

“…Our recent developed ProME platform together with its functions is introduced briefly. A case study of AI agent assistant welding is presented, which is consisted of the large language model, auto‐coding via AI agent, image processing, image mosaic, and machine learning for welding defect detection. …”
Get full text

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis by Yahia Said, Riadh Ayachi, Mouna Afif, Taoufik Saidani, Saleh T. Alanezi, Oumaima Saidani, Ali Delham Algarni

“…Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the accuracy of disease detection and treatment planning. This study presents an advanced AI-driven framework, optimized through genetic algorithms, for precise lung segmentation in early cancer diagnosis. …”
Get full text

Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives by Fiza Gulzar Hussain, Muhammad Wasim, Seemab Hameed, Abdur Rehman, Muhammad Nabeel Asim, Andreas Dengel

“…To establish a distinctive platform that fosters the rapid development of AI-driven fake news detectors, researchers have published several review articles in recent years. …”
Get full text

Advancing seasonal prediction of tropical cyclone activity with a hybrid AI-physics climate model by Gan Zhang, Megha Rao, Janni Yuval, Ming Zhao

Get full text

AI-driven UAV with image processing algorithm for automatic visual inspection of aircraft external surface by Mohammed A. H. Ali, Muhammad Zamil A. Zulkifle, Nik Nazri Nik Ghazali, Retna Apsari, M. M. F. Meor Zulkifli, Mohammad Alkhedher

“…Abstract This paper presents a novel AI-driven drone for automatic visual inspection based defects detection in the aircraft external surfaces. …”
Get full text