Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

“…Regarding treatment decision-making and outcome, predictive models guide personalized therapy by assessing treatment responses and surgical results. …”
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ARTIFICIAL INTELLIGENCE AND ITS ECONOMIC CHALLENGES IN EU COUNTRIES: IMPLICATION FOR THE REPUBLIC OF MOLDOVA by MAIA PISANIUC

“…The research will also identify how the labour market of the Republic of Moldova will change in the context of EU integration and assess the current preparedness for the implementation of EU strategies in the field of AI.…”
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Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional studyResearch in... by Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Arnaldo Vitor Barros da Silva, Anna Luíza Damaceno Araújo, Caíque Mariano Pedroso, Tarcília Aparecida da Silva, Maria Sissa Pereira Sant'Ana, Felipe Paiva Fonseca, Hélder Antônio Rebelo Pontes, Marcos G. Quiles, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Syed Ali Khurram, Alexander T. Pearson, Mark W. Lingen, Luiz Paulo Kowalski, Keith D. Hunter, André Carlos Ponce de Leon Ferreira de Carvalho, Alan Roger Santos-Silva

“…Obtained results suggest that the adoption of DL models in healthcare could aid in diagnostic assistance and decision-making during clinical practice. Funding: This work was supported by FAPESP (2022/13069-8, 2022/07276-0, 2021/14585-7 and 2024/20694-1), CAPES, CNPq (307604/2023-3) and FAPEMIG.…”
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Evaluating metaheuristic solution quality for a hierarchical vehicle routing problem by strong lower bounding by Marduch Tadaros, Athanasios Migdalas, Nils-Hassan Quttineh, Torbjörn Larsson

“…We study a vehicle routing problem that originates from a Nordic distribution company and includes the essential decision-making components of the company’s logistics operations. …”
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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…The objectives of feature selection include simplifying modeling and making the results more understandable, improving data mining efficiency, and providing clean and understandable data preparation. …”
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Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…The proposed approach demonstrates markedly enhanced clustering performance, offering a more sophisticated and efficient basis for ship route decision-making.…”
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Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning by Robin Cremese, Charlotte Godard, Alexis Bénichou, Thomas Blanc, Iwan Quemada, Christian L. Vestergaard, Bassam Hajj, Alex Barbier–Chebbah, François Laurent, Jean-Baptiste Masson

“…This integrated digital twin strategy can potentially improve preoperative decision-making significantly and, consequently, surgical outcomes.…”
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Artificial intelligence in environmental monitoring: in-depth analysis by Emran Alotaibi, Nadia Nassif

“…Key areas of research include air and water quality monitoring, climate change modeling, biodiversity assessment, and disaster management. The integration of AI with emerging technologies, such as the Internet of Things (IoT) and remote sensing, has significantly expanded real-time environmental monitoring capabilities and data-driven decision-making. …”
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Validation of Replicable Pipeline 3D Surface Reconstruction for Patient-Specific Abdominal Aortic Lumen Diagnostics by Edoardo Ugolini, Giorgio La Civita, Moad Al Aidroos, Samuele Salti, Giuseppe Lisanti, Emanuele Ghedini, Gianluca Faggioli, Mauro Gargiulo, Giovanni Rossi

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Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

“…BackgroundComputer-aided histopathological image analysis is increasingly used for image evaluation and decision-making in cancer patients. …”
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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

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Explainable Boosting Machines Identify Key Metabolomic Biomarkers in Rheumatoid Arthritis by Fatma Hilal Yagin, Cemil Colak, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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Digital health intervention for children with ADHD to improve mental health intervention, patient experiences, and outcomes: a study protocol by Nancy Herrera, Franceli L. Cibrian, Lucas M. Silva, Jesus Armando Beltran, Sabrina E. B. Schuck, Gillian R. Hayes, Kimberley D. Lakes

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Robust moving horizon planning for multi-vehicles area coverage in uncertain environment using mixed-integer-programming by Mohamed Ibrahim

“…This work provides a scalable and adaptive framework for multi-vehicle systems operating in complex and uncertain environments, offering significant advancements in real-time planning and decision-making capabilities.…”
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Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning by Yukta Mehta, Vincent Lo, Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Eugene Chang, Jerry Gao

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Climate change and sustainable livelihood in south Asia: A bibliometric analysis by Humood Fahm Albugami, Md Kaikubad Ali, Saddam Hossain, Hanan Zaffar, Naved Ahmad

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A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images by Neetha George, Linu Shine, Ambily N, Bejoy Abraham, Sivakumar Ramachandran

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Automated Detection of Road Defects Using LSTM and Random Forest by Abdulrahman Alrajhi, Kaushik Roy, James Kribs, Sultan S. Almalki

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Intelligent Manufacturing in Wine Barrel Production: Deep Learning-Based Wood Stave Classification by Frank A. Ricardo, Martxel Eizaguirre, Desmond K. Moru, Diego Borro

“…The use of explainable AI and model calibration offers a deeper understanding of the model’s decision-making process, ensuring robustness and transparency, and setting confidence thresholds for outputs. (4) Conclusions: The proposed system enhances the performance of automatic wood inspection technologies, providing a robust solution for industries requiring precise wood quality assessment, particularly in wine barrel production.…”
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