Current application of artificial intelligence in laparoscopic cholecystectomy by S.M. Chooklin, S.S. Chuklin

“…Recent advances in artificial intelligence (AI) have sparked a surge in the application of computer vision (CV) in surgical video analysis. Surgical complications often occur due to lapses in judgment and decision-making. …”
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Review of One-Stage Universal Object Detection Algorithms in Deep Learning by WANG Ning, ZHI Min

“…In recent years, object detection algorithms have gradually become a hot research direction as a core task in the field of computer vision. They enable computers to recognize and locate target objects in images or video frames, and are widely used in fields such as autonomous driving, biological individual detection, agricultural detection, medical image analysis, etc. …”
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Visual servoing of an underwater robotics arm for automatic sorting of crustaceans by Giacomo Picardi, Anna Astolfi, Karthik Seemakurthy, Bradley Hurst, Elena Piana, Petra Bosilj, Marcello Calisti

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A Comparison Between Artificial Intelligence and Radiologists’ Ability to Detect Lung Nodules by Cristina Mihaela CIOFIAC, Rossy Vlăduţ TEICĂ, Lucian Mihai FLORESCU, Ioana Andreea GHEONEA

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A novel neuroimaging based early detection framework for alzheimer disease using deep learning by Areej Alasiry, Khlood Shinan, Abeer Abdullah Alsadhan, Hanan E. Alhazmi, Fatmah Alanazi, M. Usman Ashraf, Taseer Muhammad

“…The proposed deep learning model processes MRI and PET neuroimaging data, utilizing depthwise separable convolutions to enhance computational efficiency. Performance evaluation using key metrics including accuracy, sensitivity, specificity, and F1-score demonstrates state-of-the-art classification performance, with the Softmax classifier achieving 99.87% accuracy. …”
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Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption by Sergio A Ortega, Pablo Fernández, Miguel A Martin-Delgado

“…This work delves into quantum homomorphic encryption (QHE), an emerging technology that facilitates secure computation on encrypted quantum data without revealing the underlying information. …”
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Predicting Wear Rate and Friction Coefficient of Li₂Si₂O₅ Dental Ceramic Using Optimized Artificial Neural Networks by Marko Pantić, Saša Jovanović, Aleksandar Djordjevic, Suzana Petrović Savić, Milan Radenković, Živče Šarkoćević

“…These findings emphasize the potential of combining ANNs and GAs to enhance the understanding and design of dental materials, accelerating innovation while addressing the challenges of traditional evaluation methods. This research underscores the transformative role of advanced computational approaches in tribology and material science.…”
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Research on object detection and recognition in remote sensing images based on YOLOv11 by Lu-hao He, Yong-zhang Zhou, Lei Liu, Wei Cao, Jian-hua Ma

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Analysis of physical properties in white and whole wheat sliced bread using digital image processing by Neiry-Dayán Martínez-Lara, Claudia L. Garzón-Castro, Annamaria Filomena-Ambrosio

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Qualitative radiographic characteristics of MRONJ-affected bone in oral and parenteral drug administration: comparison of panoramic radiography and cone-beam CT by Elif Aslan, Erinc Onem, Ali Mert, B. Guniz Baksi

“…Abstract Background Our aim was to compare the capacity of panoramic radiography (PR) and cone-beam computed tomography (CBCT) first for the detection of bone affected by medication-related osteonecrosis of the jaw (MRONJ) using qualitative radiographic parameters; and second for the evaluation of the relationship between drug administration route and associated bone changes. …”
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A Reflection on the Conservation of Waterlogged Wood: Do Original Artefacts Truly Belong in Public Museum Collections? by Miran Erič, David Stopar, Enej Guček Puhar, Lidija Korat Bensa, Nuša Saje, Aleš Jaklič, Franc Solina

“…The last decade has seen a transformative advancement in computational technologies, enabling the precise creation, evaluation, visualization, and reproduction of high-fidelity three-dimensional (3D) models of archaeological sites and artefacts. …”
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Distribution and laterality of concha bullosa in patients with different cranial skeletal types: a retrospective analysis among cases with concha bullosa by Farhad Ghorbani, Ali Modaberi, Nasim Morshedian, Ali Gorgin, Maryam Paknahad

“…Abstract Objective Concha bullosa, a common anatomical variation characterized by air-filled cavities in the turbinate bones, can influence sinonasal function and surgical planning. This study aims to evaluate the distribution, laterality, and cranial skeletal type associations of concha bullosa (CB) among patients with confirmed CB findings on computed tomography (CT) scans. …”
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A Survey of Data Stream-Based Intrusion Detection Systems by Rodrigo Sanches Miani, Gustavo Di Giovanni Bernardo, Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria

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Applications of deep learning in trauma radiology: A narrative review by Chi-Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, Shih-Ching Kang

“…Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying injuries requiring intervention. …”
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Deep learning framework for fruit counting and yield mapping in tart cherry using YOLOv8 and YOLO11 by Anderson L.S. Safre, Alfonso Torres-Rua, Brent L. Black, Sierra Young

“…However, there is a lack of dedicated technologies for this purpose, motivating the evaluation of computer vision-based approaches in tart cherries. …”
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Measurement of the accuracy of dental working casts using a coordinate measuring machine by Potran Michal, Štrbac Branko, Puškar Tatjana, Hadžistević Miodrag, Hodolič Janko, Trifković Branka

“…TR 35020: Research and development of modelling methods and approaches in manufacturing of dental recoveries with the application of modern technologies and computer aided systems]…”
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ALCEA: The Architecture Life-Cycle Effect Analysis Method by Jakob Axelsson, Damir Bilic, Daniel Brahneborg, Joakim Froberg, Henrik Gustavsson, Robbert Jongeling, Daniel Sundmark

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Classification and segmentation of hip fractures in x-rays: highlighting fracture regions for interpretable diagnosis by Germán González, Joaquín Galant, José María Salinas, Emilia Benítez, Maria Dolores Sánchez-Valverde, Jorge Calbo, Nicolás Cerrolaza

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Lightweight Evolving U-Net for Next-Generation Biomedical Imaging by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Ziyat Kurbanov, Abdibayeva Tamara, Ishonkulov Nizamjon, Shakhnoza Muksimova, Young Im Cho

“…The model effectively delineates complex and overlapping nuclei structures with high fidelity, while maintaining computational efficiency suitable for real-time applications. …”
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Development of biodegradable magnesium alloy stents with coating by Lorenza Petrini, Wei Wu, Dario Gastaldi, Lina Altomare, Silvia Farè, Francesco Migliavacca, Ali Gökhan Demir, Barbara Previtali, Maurizio Vedani

“…Our study required the following steps: i) selection of a Mg alloy suitable for stent production, having sufficient strength and elongation capability; ii) computational optimization of the stent geometry to minimize stress and strain after stent deployment, improve scaffolding ability and corrosion resistance; iii) development of a numerical model for studying stent degradation to support the selection of the best geometry; iv) optimization of the alloy microstructure and production of Mg alloy tubes for stent manufacturing; v) set up, in terms of laser cut and surface finishing, of the procedure to manufacture magnesium stents; vi) selection of a coating able to assure enough corrosion resistance and computational evaluation of the coating adhesion. …”
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