Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning by Najmeh Pishghadam, Rasool Esmaeilyfard, Maryam Paknahad

“…The proposed model achieves a MAE of 1.08 years for age estimation and 95.3% accuracy in gender classification, significantly outperforming conventional CBCT-based methods. CBAM enhances the model’s ability to focus on clinically relevant anatomical features, while Grad-CAM provides visual explanations, improving interpretability. …”
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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

“…The free and open-source data visualization and machine learning platform offers user-friendly visual programming for predictive modeling and data analysis. …”
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Digital Infrared Thermographic Imaging for Limb Salvage in Patients at Risk of Amputation: Prospective Observational Study by Víctor Manuel Loza-González, Eleazar Samuel Kolosovas-Machuca, Patricia Aurea Cervantes-Báez, José Luis Ramírez-GarcíaLuna, Edgar Guevara, Mario Aurelio Martínez-Jiménez

“…ObjectiveThis study aimed to assess the impact of temperature measurement using infrared thermal imaging in extremity salvage in patients at risk of limb amputation. MethodsWe included 29 patients who sought a second opinion after an amputation recommendation. …”
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A Potential Pitfall in the Interpretation of Microscope-Integrated Fluorescence Angiography: The Center–Periphery Effect by Dieder Stolk, Paul Bloemen, Richard Martin van den Elzen, Martijn de Bruin, Caroline Driessen

“…This study aims to evaluate the fluorescence light distribution in images formed by ICG-FA in two surgical microscopes using a phantom, and to provide recommendations for their application. Methods: An 11.8 by 6.8 cm ICG and Intralipid phantom was made to evaluate overall spatial fluorescence sensitivity in two surgical microscopes in multiple working distances (WDs) and magnification factors (MFs). …”
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Most vulnerable diet and health profiles: identifying countries at risk through a three-theme clustering by Ahmet Murat Günal, Salim Yılmaz, Sedat Arslan

“…The study categorizes countries based on nutrition and diet, health and disease burden, and healthcare access and life expectancy to determine those at the highest risk.MethodsA cross-sectional analysis was conducted using 2019 data from 168 countries. …”
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DEVELOPMENT AND IMPLEMENTATION OF AN ONLINE CHEMISTRY COURSE: ADVANTAGES, CHALLENGES AND EXPERIMENTAL RESULTS by Yuliia Kharchenko, Nataliia Kurash

“…This online course offers several didactic opportunities, such as the ability to dynamically update content, methods, tools, and training formats, demonstrate laboratory experiments, analyze virtual experiments and observations, and implement various types of knowledge assessment for students. …”
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Image-guided optimization of current steering in STN-DBS for Parkinson's disease by Atsushi Umemura, Atsushi Umemura, Hideki Mizuno, Mina Maki, Atsuo Masago

“…This study aimed to evaluate the clinical utility of image-guided programming (IGP) in patients with stable postoperative symptoms.MethodsSixteen patients with advanced PD, who had undergone STN-DBS and exhibited stable symptoms for at least 6 months under conventional programming, were enrolled. …”
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AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…Early detection, insect monitoring, and population forecasting through Artificial Intelligence (AI)-based methods, can enable swift responsiveness, allowing for reduced but more effective insecticide use, mitigating traditional labor-intensive and error prone solutions. …”
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The prevalence of coronary artery anomalies in adults: Studied with computed tomography coronary angiography by Ilić Dragana, Stojanov Dragan, Koraćević Goran, Petrović Slađana, Radovanović Zoran, Arsić Stojanka

“…The aim of the research was to establish the prevalence of the coronary arteries anomalies in our population. Methods. The study group included 1,562 patients (810 men, 752 women, average age 64.3 ± 12.0 years; range 32–80 years) who were scheduled for 64-slice computed tomography (MSCT), which enables detailed visualization of coronary arteries and heart anatomy. …”
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Shifts in the pKa value of acid–base indicators caused by immobilization on solid substrates via water-soluble polycationic polymers: a case study of Congo Red by A. O. Naumova, P. V. Melnikov, E. V. Dolganova, N. A. Yashtulov, N. K. Zaitsev

“…Herein, the effects of cationic polyelectrolytes on the properties of solid substrate immobilized acid–base indicators are investigated to predict shifts in their spectral patterns and characteristics. Methods. The properties of the silica gel immobilized indicator dye in a solution of the cationic polyelectrolyte were studied using automatic photometric titration in the visible region and spectrophotometry using a specialized computerized setup. …”
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PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021) by Nannan Xu, Guang Yang, Linlin Ming, Jiefei Dai, Kun Zhu

“…BackgroundAccurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking.ObjectiveThis study proposes a novel deep learning framework—PSOA-LSTM—that integrates Particle Swarm Optimization (PSO) with an attention-based Long Short-Term Memory (LSTM) network to enhance the precision of lung cancer incidence prediction.MethodsUsing the Global Burden of Disease 2019 (GBD 2019) dataset, the model predicts age- and gender-specific lung cancer incidence trends for the next 5 years. …”
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Contributions of Microscopy to the Morphological Characterization of the Male Genitalia of Toxomerus politus (Diptera, Syrphidae) by Ingrid G. M. Silva, Alexandre A. F. Souza, Ariane P. Silveira, Karine B. Barros‐Cordeiro, Welinton R. Lopes, Sonia N. Báo

“…Comparison between the methods used to investigate the structures of T. politus, observed after preserving the specimen, already demonstrates the importance of using appropriate methodology as a starting point for reliable results. …”
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Algorithm of Encrypting Digital Image Using Chaos Neural Network by Ying Mao

“…Different from the existing visual image encryption methods, our method can directly embed the noise like information after encryption into the alpha channel of the carrier image, thus increasing the visual stability of the computer. …”
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Integrated 3D imaging of FFPE lung tissue combining microCT, light and electron microscopy allows for contextualized ultrastructural and histological analysis by Johanna Reiser, Jonas Albers, Angelika Svetlove, Mara Mertiny, Felix K. F. Kommoss, Constantin Schwab, Anna Schneemann, Giuliana Tromba, Irene Wacker, Ronald E. Curticean, Rasmus R. Schroeder, Hans-Ulrich Kauczor, Mark O. Wielpütz, Christian Dullin, Willi L. Wagner

“…Abstract Classical histopathology of formalin fixed and paraffin embedded (FFPE) tissue using light microscopy (LM) remains the undisputed gold standard in biomedical microstructural lung tissue analysis. To extend this method, we developed an integrative imaging and processing pipeline which adds 3D context and screening capabilities by microCT (µCT) imaging of the entire paraffin block and adds ultrastructural information by correlative same-slide scanning electron microscopy (SEM). …”
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Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy by Masamune Kamachi, Kohei Kamada, Noriyuki Kanzaki, Tetsuya Yamamoto, Yuichi Hoshino, Atsuyuki Inui, Yuta Nakanishi, Kyohei Nishida, Kanto Nagai, Takehiko Matsushita, Ryosuke Kuroda

“…The important features were visualized using occlusion sensitivity, a method for visualizing areas that are important for model prediction. …”
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Pancreas-preserving partial duodenectomy for non-ampullary duodenal neoplasms: three case reports by Shunsuke Ishida, Teijiro Hirashita, Yoko Kawano, Hiroki Orimoto, Shota Amano, Masahiro Kawamura, Atsuro Fujinaga, Takahide Kawasaki, Takashi Masuda, Yuichi Endo, Masayuki Ohta, Masafumi Inomata

“…Abstract Background There are multiple surgical procedures for resecting non-ampullary duodenal neoplasms (NADNs), and the appropriate method is selected depending on the tumor location and diagnosis. …”
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The Role of MDCT Coronary Angiography in the Detection of Benign Varieties and Anomalies of Coronary Blood Vessels—A Narrative Review by Ana Mladenovic Markovic, Ana Tomic, Miodrag Nisevic, Biljana Parapid, Nikola Boskovic, Marina Vitas, Miona Jevtovic, Sandra Grujicic

“…MDCT angiography is a non-invasive, dependable, safe, and sensitive method for the detailed visualization of coronary anatomy. …”
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OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI by Muhammad Umair, Jawad Ahmad, Oumaima Saidani, Mohammed S. Alshehri, Alanoud Al Mazroa, Muhammad Hanif, Rahmat Ullah, Muhammad Shahbaz Khan

“…This study introduces OculusNet, an efficient and explainable deep learning (DL) approach for detecting retinal diseases using OCT images. The proposed method is specifically tailored for complex medical image patterns in OCTs to identify retinal disorders, such as choroidal neovascularization (CNV), diabetic macular edema (DME), and age-related macular degeneration characterized by drusen. …”
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Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability by Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam

“…The system is fully implemented on accessible AI platforms (Google Colab, Kaggle), ensuring real-time simulation and reproducibility, especially for research teams with limited computational resources. This method offers a scalable, explainable solution for pseudogene identification and non-coding RNA characterization, with broad applications in cancer research, genome annotation, and precision transcriptomics. …”
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Smartwatch-Based Ecological Momentary Assessment for High-Temporal-Density, Longitudinal Measurement of Alcohol Use (AlcoWatch): Feasibility Evaluation by Chris Stone, Sally Adams, Robyn E Wootton, Andy Skinner

“…All participants scored “experiences of using” the 2 methods equally highly, with “willingness to use again” slightly higher for smartwatch μEMA. …”
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