Anisotropic flexible stress sensors based on Loofah/CN/MWCNTs by 刘璐, 贾晓丽, 黄书童, 张景龙, 李守宝, 柯燎亮

“…Finally, the practical applications of the sensor in areas such as encrypted communications and human joint motion detection were also demonstrated, indicating its potential applications in multi-dimensional wearable electronics and intelligent robots. …”
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A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions by Chunbao Wang, Jiusong Ge, Yi Niu, Caixia Ding, Yangyang Fan, Hongyun Chang, Zhe Yang, Caihong Ran, Xiali Teng, Xiaolin Wang, Lianlian Wu, Zeyu Gao, Chen Li

“…Artificial Intelligence (AI) offers promising solutions to these challenges, yet its advancement is limited by the scarcity of comprehensive, annotated pathological datasets. …”
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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

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Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy by Yuanyuan Qin, Yuanyuan Qin, Jianming Chang, Li Li, Li Li, Mianhua Wu, Mianhua Wu

“…We introduce a domain-adaptive learning strategy to enhance model generalization across diverse patient populations and imaging conditions.Results and discussionExperimental results on multiple GI datasets demonstrate that our method significantly improves lesion detection, reduces diagnostic variability, and enhances physician-AI collaboration. …”
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Personalized Clustering for Emotion Recognition Improvement by Laura Gutiérrez-Martín, Celia López-Ongil, Jose M. Lanza-Gutiérrez, Jose A. Miranda Calero

“…Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…It measures the variation in the time between heartbeats and offers insights into health. Artificial intelligence (AI) research aims to use HRV data for accurate stress level classification, aiding early detection and well-being approaches. …”
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Unveiling the Diversity of Type IIn Supernovae via Systematic Light-curve Modeling by C. L. Ransome, V. A. Villar

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Automated Age Estimation from OPG Images and Patient Records Using Deep Feature Extraction and Modified Genetic–Random Forest by Gulfem Ozlu Ucan, Omar Abboosh Hussein Gwassi, Burak Kerem Apaydin, Bahadir Ucan

“…However, its effectiveness is challenged by methodological variability and biological differences between individuals. …”
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Leveraging geographic information system for dengue surveillance: a scoping review by Prathiksha Prakash Nayak, Jagadeesha Pai B., Sreejith Govindan

“…Risk mapping and hotspot detection were the most frequent targeted applications (n = 26), followed by vector control and monitoring (n = 23). …”
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Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants by Philip Harvey, Rosie Curiel-Cid, Peter Kallestrup, Annalee Mueller, Andrea Rivera-Molina, Sara Czaja, Elizabeth Crocco, David Loewenstein

“… Abstract BackgroundThe early detection of mild cognitive impairment is crucial for providing treatment before further decline. …”
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Decoding Parkinson’s diagnosis: An OCT-based explainable AI with SHAP/LIME transparency from the Persian Cohort Study by Zohreh Ganji, Farzaneh Nikparast, Naser Shoeibi, Ali Shoeibi, Hoda Zare

“…This study integrates retinal OCT with explainable artificial intelligence (XAI) to address PD diagnostic uncertainties. …”
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Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis by Subo Zhang, Zhitao Zhu, Zhenfei Yu, Haifeng Sun, Yi Sun, Hai Huang, Lei Xu, Jinxin Wan

“… BackgroundArtificial intelligence (AI) presents a promising approach to balancing high image quality with reduced radiation exposure in computed tomography (CT) imaging. …”
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Immediate remote sensing of sudden earth’s surface anomalies and its geographical significance by Qiao Wang, Haishuo Wei

“…To solve these problems, we have researched immediate remote sensing detection of sudden earth’s surface anomalies. Its core concept is to deploy the entire detection process on satellites, enabling on-orbit immediate detection of earth’s surface anomalies based on a single image through the integrated “positioning, navigation, timing, remote sensing, communication (PNTRC)” intelligent constellation and edge computing technologies. …”
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Differential Classification of Dementia by E. Mohr, P. Brouwers, J. J. Claus, S. E. Purdon, M. Gagnon, T. N. Chase

“…In the absence of biological markers, dementia classification remains complex both in terms of characterization as well as early detection of the presence or absence of dementing symptoms, particularly in diseases with possible secondary dementia. …”
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Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN by Syed Waqad Ali, Muhammad Munaf Rashid, Muhammad Uzair Yousuf, Sarmad Shams, Muhammad Asif, Muhammad Rehan, Ikram Din Ujjan

“…This study presents a Clinical Decision Support System (CDSS) for the early detection of respiratory disorders using a one-dimensional convolutional neural network (1D-CNN) model. …”
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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods by Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed

“…This involves the use of advanced tools to detect the disease early on and aid in the reduction of fatality rates. …”
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The SmartNTx-study: a prospective, randomized controlled trial to investigate additional interventional telemedical management versus standard aftercare in kidney transplant recipi... by Mario Schiffer, Lars Pape, Julia K. Wolff, Julia K. Wolff, Raoul Gertges, Vanessa Visconti, Karen Reichert, Anja Pfau, Anne Dieterle, Katja Sauerstein, Andreas Kribben, Kristina Boss, Sinem Karaterzi, Felix Nensa, Philipp Winneckens, Mario Cypko, Mario Cypko, Wiebke Duettmann, Bianca Zukunft, Eva Schrezenmeier, Marcel G. Naik, Fabian Halleck, Roland Roller, Sebastian Möller, Sebastian Möller, Oliver Amft, Oliver Amft, Klemens Budde

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A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

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A case-control study of reaction time deficits in a 3D virtual reality in patients with Post-COVID syndrome by Moritz Güttes, Marianna Lucio, Adam Skornia, Eva Rühl, Fritz Steußloff, Julia Zott, Christian Mardin, Wolfgang Mehringer, Marion Ganslmayer, Georg Michelson, Bettina Hohberger

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Microbiome characteristics associated with lymph node metastasis in laryngeal squamous cell carcinoma by Fangxu Yan, Shibo Chen, Xin Xia, Yue Fan, Shuting Yu, Xiao Zhang, Xingming Chen

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