Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks by Yuan Wang, Yuan Wang, Yutong Zhang, Yongxin Li, Tianyu She, Meiqing He, Hailing He, Dong Zhang, Dong Zhang, Jue Jiang

“…DeLong’s test was employed to compare the differences between the groups.ResultsAmong the five models, the one based on the ResNet18 algorithm demonstrated the highest performance. It exhibited statistically significant advantages in predictive accuracy (p < 0.05) compared to the models based on ResNet152, ResNet101, ResNet50, and ResNet34 algorithms. …”
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Introducing neuromodulation in deep neural networks to learn adaptive behaviours. by Nicolas Vecoven, Damien Ernst, Antoine Wehenkel, Guillaume Drion

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Out of randomness: How evolution benefits from modularity by Chunxiuzi Liu, Shaohua Tang, Jingxi Liu, Jiashuo Ye, Lanxin Ma, Bingning Liu, Lu Peng, Jiaxin Dong, Linjie Que, Binbin Hong, Yu Liu

“…Compared to random search, GAs significantly improve the probability of finding solutions, especially complex ones. …”
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Thematic Analysis of Clinician Documentation Surrounding Treatment Discussions and Decision‐Making in Patients With Desmoid Tumors by Victoria Wytiaz, Tianyi Wang, Scott Schuetze, Nina J. Francis‐Levin, Rashmi Chugh

“…More robust community peer support groups specific to patients with desmoid tumors and clinician “support groups” may provide a way for both patients and clinicians practicing in a disease state with uncertainty to share experiences and improve resilience. Developing treatment educational materials for patients and families and improving access to supportive psychosocial services may further enhance high‐quality decision‐making.…”
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A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems by Achin Jain, Arun Kumar Dubey, Shakir Khan, Arvind Panwar, Mohammad Alkhatib, Abdulaziz M Alshahrani

“…Compared to Ant Colony Optimization (ACO) and Firefly algorithms, which achieve accuracies of 83% and 85% respectively, our approach demonstrates up to a 3% improvement in key performance metrics. …”
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Radiology AI and sustainability paradox: environmental, economic, and social dimensions by Burak Kocak, Andrea Ponsiglione, Valeria Romeo, Lorenzo Ugga, Merel Huisman, Renato Cuocolo

“…Socially, AI risks perpetuating healthcare disparities through biases in algorithms and unequal access to technology. On the other hand, AI has the potential to improve sustainability in healthcare by reducing low-value imaging, optimizing resource allocation, and improving energy efficiency in radiology departments. …”
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A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

“…The proposed design reaches 0.461 and 0.447 GOP/s/DSP48E1 for two model variants, achieving a 2× to 3× improvement over comparable designs.…”
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Let’s Go Bananas: Beyond Bounding Box Representations for Fisheye Camera-Based Object Detection in Autonomous Driving by Senthil Yogamani, Ganesh Sistu, Patrick Denny, Jane Courtney

“…Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. It has been extensively studied in the literature. …”
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FLIP: A Novel Feedback Learning-Based Intelligent Plugin Towards Accuracy Enhancement of Chinese OCR by Xinyue Tao, Yueyue Han, Yakai Jin, Yunzhi Wu

“…This study develops FLIP (Feedback Learning-based Intelligent Plugin), a lightweight post-processing plugin designed to improve Chinese OCR accuracy across different systems without external dependencies. …”
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Approach to Enhancing Panoramic Segmentation in Indoor Construction Sites Based on a Perspective Image Segmentation Foundation Model by Juho Han, Sebeen Yoon, Mingyun Kang, Taehoon Kim

“…The proposed method iteratively executes SAM with adjusted input parameters to extract objects of varying sizes and subsequently applies filtering algorithms to retain valid objects. Then, label assignment and merging processes are performed based on the predictions from the target model to improve segmentation accuracy. …”
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Social Media Suicide Watch by Katherine Prothro

“…These algorithms could then be applied to current users to more accurately identify at-risks populations. …”
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A high-performance 10 mm diameter MEMS fast steering mirror with integrated piezoresistive angle sensors for laser inter-satellite links by Wenli Xue, Yichen Liu, Xingwang Zhu, Mingkun Wang, Zhichao Weng, Yongquan Su, Yi Yang, Hongfeng Zhao, Yang Wang, Hao Chen, Lihao Wang, Zhenyu Wu

“…Furthermore, an intermediate directional defect structure is novelly designed to create a Stress Concentration Region (SCR), effectively improving PZR sensitivity from 3.3 mV/(V∙mrad) to 5.4 mV/(V∙mrad). …”
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Development of Cardiac Computed Tomography for Evaluation of Aortic Valve Stenosis by Hiroyuki Takaoka, Haruka Sasaki, Joji Ota, Yoshitada Noguchi, Moe Matsumoto, Kazuki Yoshida, Katsuya Suzuki, Shuhei Aoki, Satomi Yashima, Makiko Kinoshita, Noriko Suzuki-Eguchi, Yoshio Kobayashi

“…In particular, diagnostic imaging modalities such as computed tomography (CT) have advanced significantly, with notable improvements in image quality. With recent advancements in CT technology—such as increased detector rows, faster gantry rotation speeds, new image reconstruction methods, and the introduction of dual-energy imaging—the scope of cardiac assessment has expanded beyond the coronary arteries to include valves, myocardium, and the entire heart. …”
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Exploring transcriptomic databases to identify and experimentally validate tissue-specific consensus reference gene for gene expression normalization in BALB/c mice acutely exposed... by Nour Hammoudeh, Reem Hasan, Mohammad Deeb, Zuher Radwan, Omar Ayoubi, Roaa Alendary, Mouayad Youssef, Abdulfattah Kazan, Rasil Alsahli, Walaa Faiad, Nour Aldeli, Abdulsamie Hanano

“…Our study identifies stable HKGs, improving TCDD toxicity research accuracy and reliability.…”
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AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

“…This approach demonstrates the potential to enhance prioritized care plans and patient education, improving disease management and quality of life for asthmatic patients.…”
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ANTI-TUBERCULOSIS TREATMENT IN PRESUMED OCULAR TUBERCULOSIS PATIENTS WITH GRANULOMATOSIS OCULAR PATHOLOGIES: SINGLE CENTER EXPERIENCE FROM TURKIYE by Tülin Çağatay, Zeki Kılıçaslan, Aylin Pıhtılı, Züleyha Bingöl, Merih Oray, Esen Kıyan, Nigar Gülfer Okumuş, Penbe Çağatay, Aysen Erer, Ayşe Yıldız Taş, İlknur Tuğal Tutkun

“…There is no common diagnostic/treatment algorithm even though new approaches exist.In this study, the results of the treatment of “presumed ocular tuberculosis patients” are evaluated. …”
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UAVs’ Flight Dynamics Is All You Need for Wind Speed and Direction Measurement in Air by Sihong Zhu, Tonghui Zhao, Huanji Zhang, Yichao Chen, Dongxu Yang, Yi Liu, Junji Cao

“…This study introduces a machine learning (ML) approach to improve the accuracy of the wind speed and direction estimation using UAVs. …”
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ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention by Yanfei Chen, Tong Yue, Pei An, Hanyu Hong, Tao Liu, Yangkai Liu, Yihui Zhou

“…Quantitatively, it achieves PSNR gains of 0.53 dB for indoor scenes and 1.64 dB for outdoor scenes, alongside SSIM improvements of 1.4% and 1.7%, respectively, compared with the second-best performing method. …”
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Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions by Muhammad Liaquat Raza, Muhammad Liaquat Raza, Muhammad Liaquat Raza, Syed Tawassul Hassan, Subia Jamil, Noorulain Hyder, Kinza Batool, Sajidah Walji, Muhammad Khizar Abbas

“…Recent advancements in deep learning algorithms applied to multimodal brain imaging offer promising solutions for improving diagnostic accuracy and predicting disease progression.MethodThis narrative review synthesizes current literature on deep learning applications in Alzheimer’s disease diagnosis using multimodal neuroimaging. …”
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Mechanical Ventilation Strategies in Buildings: A Comprehensive Review of Climate Management, Indoor Air Quality, and Energy Efficiency by Farhan Lafta Rashid, Mudhar A. Al-Obaidi, Najah M. L. Al Maimuri, Arman Ameen, Ephraim Bonah Agyekum, Atef Chibani, Mohamed Kezzar

“…This review examines the performance of mechanical ventilation systems in regulating indoor climate, improving air quality, and minimising energy consumption. …”
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