Comparison of Transfer Learning Model Performance for Breast Cancer Type Classification in Mammogram Images by Cahya Bagus Sanjaya, Muhammad Imron Rosadi, Moch. Lutfi, Lukman Hakim

“…Globally, breast cancer is the type of cancer that most women suffer from. Early detection of breast cancer is very important because there is a big chance of cure. …”
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A Complex Clinical Situation in Polycystic Ovary Syndrome: HAIR-AN Syndrome ‘‘Case Report’’ by Ramin Alizadeh Gheshlagh, Senay Topsakal

“…Bioinformatics tools and in silico algorithms were used to assess the impact of the variants. …”
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Using Convolutional Neural Networks for Segmentation of Multiple Sclerosis Lesions in 3D Magnetic Resonance Imaging by Abdulsattar Abdullah Hamad, Mustafa Musa Jaber, Mohammed Altaf Ahmed, Ghaida Muttashar Abdulsahib, Osamah Ibrahim Khalaf, Zelalem Meraf

“…Magnetic Resonance Imaging to detect its lesions is used to diagnose multiple sclerosis. …”
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Wearable devices for patient monitoring in the intensive care unit by Alessandra Angelucci, Massimiliano Greco, Maurizio Cecconi, Andrea Aliverti

“…Despite the potential of WDs, challenges such as measurement accuracy, explainability of data processing algorithms, and actual integration into the clinical decision-making process persist. …”
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Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare by Nargish Parvin, Sang Woo Joo, Jae Hak Jung, Tapas K. Mandal

“…Despite its promise, the integration of AI into clinical practice presents challenges such as ensuring data security, meeting regulatory standards, and promoting algorithmic transparency. Addressing ethical issues including bias and equitable access remains critical. …”
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Measuring the Dimension Accuracy of Products Created by 3D Printing Technology with the Designed Measuring System by Martin Pollák, Dominik Sabol, Karol Goryl

“…Comprehensive analysis of measurements in combination with advanced algorithms can provide more accurate dimensional characteristics and the prediction of defects. …”
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Beyond purchase patterns: harnessing predictive analytics to anticipate unarticulated consumer needs by Khaled Alshaketheep, Hind Al-Ahmed, Ahmad Mansour

“…The results underscore the importance of integrating human-centered design with algorithmic precision to translate predictive insights into actionable business value.…”
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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

“…This model also explores AI, machine learning, and explainable AI (XAI) in labor market dynamics, where predictive algorithms can identify trends and mitigate systemic risks. …”
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Comparing AI-Generated Stimuli and Photos: Visual Search Study by Frol A. Sapronov, Elena S. Gorbunova

“…Background. AI algorithms have rapidly entered everyday life in the last few years, which caused the appearance of a large number of both texts and images generated by neural networks. …”
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Association between indoor occupancy and home spatial attributes of older adults’ daily living based on computer vision by Jiaoni Guo, Qiuyu Chen, Xiaoxiao Dong, Xiaohu Liu

“…Associations between activity occupancy and home spatial attributes were examined in five apartments and we used a computer vision-based behavioral research method with a nonintrusive approach to develop recognition algorithms for detection. Activity occupancy was evaluated by 0.5 m × 0.5 m grid analysis, whereas spatial attributes were simulated via space syntax analysis. …”
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Enhanced Transformer Network With High-Dimensional Attention Mechanism for Diabetic Retinopathy Classification by M. Rizvana, Sathiya Narayanan

“…Various deep learning-based detection and classification algorithms have been developed to identify and categorize the disease. …”
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Elucidating Early Radiation-Induced Cardiotoxicity Markers in Preclinical Genetic Models Through Advanced Machine Learning and Cardiac MRI by Dayeong An, El-Sayed Ibrahim

“…Radiation therapy (RT) is widely used to treat thoracic cancers but carries a risk of radiation-induced heart disease (RIHD). This study aimed to detect early markers of RIHD using machine learning (ML) techniques and cardiac MRI in a rat model. …”
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Effective Classification of Plant Diseases Using Blend Unity Resqueeze With ResNet Model by Reena S, Rathinasabapathy

“…Recent advancements in computer vision and AI models have highlighted the potential for building automatic plant disease detection models based on visible signs using image classification tasks. …”
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miRNA in Machine-Learning-Based Diagnostics of Oral Cancer by Xinghang Li, Valentina L. Kouznetsova, Igor F. Tsigelny

“…Discussion: Our findings highlight the promise of miRNA-based ML models in enhancing early cancer detection, reducing healthcare burdens, and potentially saving lives. …”
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Econometric modeling for proactive risk management of financial failure in Moroccan SMEs: a stepwise logistic regression approach in python by Dina Ait Lahcen, Nour-Eddin Amghar

“…Unlike approaches based on complex artificial intelligence algorithms, this study adopts a transparent and interpretable methodological framework that is well suited to environments where data is limited, such as those frequently encountered in emerging economies. …”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…In the case of digital images, noise can produce difficulties in the diagnosis of images details, such as edges and limits, should be preserved. Most algorithms can reduce or remove speckle noise, but they do not consider the conservation of these details. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…The dataset aims to support the development of machine-learning models for precise disease detection and quality assessment in lentil cultivation. …”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…However, challenges such as algorithmic bias, data privacy issues, and the need for strong ethical guidelines still exist, and these could hinder the equitable use of AI. …”
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Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing by Tristan P. Wallis, Anmin Jiang, Kyle Young, Huiyi Hou, Kye Kudo, Alex J. McCann, Nela Durisic, Merja Joensuu, Dietmar Oelz, Hien Nguyen, Rachel S. Gormal, Frédéric A. Meunier

“…Spatial indexing is widely used in video games to detect interactions between moving geometric objects. …”
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SCANDEM-Coast - open-source tool for UAV LiDAR point cloud classification in coastal environments by Paweł Terefenko, Kamran Tanwari, Jakub Śledziowski, Andrzej Giza, Xiaohao Shi

“…Remote sensing technologies, particularly Light Detection and Ranging (LiDAR) mounted on Unnamed Aerial Vehicle (UAV), are instrumental in monitoring the dynamics of coastal environments. …”
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