Enhanced Electroacoustic Tomography with Supervised Learning for Real‐time Electroporation Monitoring by Zhuoran Jiang, Yifei Xu, Leshan Sun, Shreyas Srinivasan, Q. Jackie Wu, Liangzhong Xiang, Lei Ren

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Physics-Informed Learning for Predicting Transient Voltage Angles in Renewable Power Systems Under Gusty Conditions by Ruoqing Yin, Liz Varga

“…As renewable energy penetration and extreme weather events increase, accurately predicting power system behavior is essential for reducing risks and enabling timely interventions. This study presents a physics-informed learning approach to forecast transient voltage angles in power systems with integrated wind energy under gusty wind conditions. …”
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Precision Medicine Assessment of the Radiographic Defect Angle of the Intrabony Defect in Periodontal Lesions by Deep Learning of Bitewing Radiographs by Patricia Angela R. Abu, Yi-Cheng Mao, Yuan-Jin Lin, Chien-Kai Chao, Yi-He Lin, Bo-Siang Wang, Chiung-An Chen, Shih-Lun Chen, Tsung-Yi Chen, Kuo-Chen Li

“…Due to the high recurrence rate of periodontal disease after treatment, accurately evaluating the radiographic defect angle of the intrabony defect is vital for implementing targeted interventions, which can improve treatment outcomes and reduce recurrence. …”
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Eye-Tracking Algorithm for Early Glaucoma Detection: Analysis of Saccadic Eye Movements in Primary Open-Angle Glaucoma by Cansu Yuksel Elgin

“…These findings suggest that eye movement analysis may serve as a sensitive biomarker for early glaucomatous damage, potentially enabling earlier intervention and improved visual outcomes.…”
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A telemedicine-enabled intravenous thrombolytic treatment pathway for patients with hyperacute non-arteritic central retinal artery occlusion by Aubrey L. Gilbert, Amar P. Patel, Dana Sax, M. Tariq Bhatti, Ronak Shah, Adrian Dokey, Tova Mannis, Molly Burnett, Robin A. Vora

“…Thirty-five patients received IV thrombolytic therapy and 50 patients were closely observed.Intervention: A collaborative telemedicine-enabled pathway employing fundus photography was previously established by Ophthalmology, Emergency Medicine, and Stroke services to rapidly evaluate and manage patients presenting with acute painless monocular vision loss and allow for administration of IV tenecteplase (0.25 mg/kg) for eligible consenting patients diagnosed with naCRAO within 4.5 h. …”
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A unified optimization strategy for the geometry and magnetization of magnetic soft continuum robots in vascular intervention by Yuhang Liu, Jiahang Wang, Xiwen Lu, Yunlong Zhu, Chenyao Bai

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Analysis of the effect of maxillary transverse deficiencies on permanent maxillary first molar rotations using 3D digital models by Samet Özden, Orhan Cicek

“…A significant positive correlation was found between PMMR angles and JR and JL distances (p < 0.05). Conclusion It was concluded that (i) mesiopalatal PMMRs are observed in the MTSDs with molar crossbite, (ii) molars with normal molar occlusal relationships have normal PMMR angles even in the presence of MTSDs, and (iii) early detection of MTSD enables timely interventions, preventing treatment delays and improving occlusal outcomes, particularly in developing patients, thereby optimizing long-term orthodontic results. …”
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Reconstruction of a 3D Real-World Coordinate System and a Vascular Map from Two 2D X-Ray Pixel Images for Operation of Magnetic Medical Robots by Nahyun Kim, Serim Lee, Junhyoung Kwon, Gunhee Jang

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Risk stratification and clinical classification for postoperative neurological complications in post-tuberculosis kyphosis: a retrospective cohort study by Jianqiang Wang, Yong Hai, Haoshuang Geng, Zhangfu Li, Yuzeng Liu, Yangpu Zhang, Lijin Zhou

“…The clinical classification systems established herein facilitate precise risk stratification, enabling targeted preoperative interventions to mitigate surgical risks and enhance surgical outcomes.…”
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Changes in ultrasound and bioelectrical-derived body composition parameters in response to training load during pre-season in professional male road cyclists by Andrea Giorgi, Francesco Campa, Martino V. Franchi, Maurizio Vicini, Borja Martinez-Gonzalez

“…Abstract Purpose The pre-season is commonly a period during which cyclists implement interventions to optimize performance, training, and body composition. …”
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Using GPS and accelerometer data to precisely record egg laying, incubation and chick hatching of Cinereous Vultures (Aegypius monachus) in-situ by Cornel Cotorogea, Emilian Stoynov, Atanas Grozdanov, Simeon Marin, Hristo Valeriev Peshev, Ivelin Ivanov, Georgi P. Stoyanov

“…Its application can enhance conservation programs by enabling timely interventions, improving breeding success rates, and contributing to a deeper understanding of Cinereous Vulture reproductive biology. …”
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Spatial analysis of daytime and nighttime crash severity on horizontal curves of mountainous rural highways: A case study in Northern Iran by Morteza Safari, Meysam Effati, Mahyar Arabani

“…Based on the analysis, collision type, collision angle, and collision reason emerged as significant factors influencing crash severity across all models, regardless of lighting conditions and spatial aspects. …”
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Deep learning meets chest X-rays: a promising approach for predicting future compression fracture risk by Kai-Chieh Chen, Shan-Yueh Chang, Yuan-Ping Chao, Dung-Jang Tsai, Wei-Chou Chang, Yu-Shiou Weng, Chin Lin, Wen-Hui Fang

“…Conclusion: The AI-CXR model provides a cost-effective, noninvasive tool for osteoporotic fracture risk assessment, enabling improved early detection and personalized intervention across diverse clinical settings.…”
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Progression risk of adolescent idiopathic scoliosis based on SHAP-Explained machine learning models: a multicenter retrospective study by Xinyi Fang, Ting Weng, Zhehao Zhang, Wanfeng Gong, Yu Zhang, Mei Wang, Jianhua Wang, Zhongxiang Ding, Can Lai

“…This model offers a valuable tool for clinical decision-making by enabling early identification of high-risk patients and supporting early intervention strategies through automated feature extraction and interpretable analysis.…”
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An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients by Utpal Chandra Das, Ngoc Thien Le, Timporn Vitoonpong, Chalermdej Prapinpairoj, Kawee Anannub, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

“…The rule-based model utilizes the Fugl-Meyer Assessment to evaluate lower limb angles during exercises using a camera without human intervention. …”
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Process Analytical Strategies for Size Monitoring: Offline, At-Line, Online, and Inline Methods in a Top-Down Nano-Manufacturing Line by Christina Glader, Ramona Jeitler, Yan Wang, Remy van Tuijn, Albert Grau-Carbonell, Carolin Tetyczka, Steve Mesite, Philippe Caisse, Johannes Khinast, Eva Roblegg

“…At-line methods provided an efficient alternative by enabling rapid final product control with minimal manual intervention. …”
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Diurnal variations in gait parameters among older adults with early-stage knee osteoarthritis: insights from wearable sensor technology by Anuradhi Bandara, Hiroki Shimizu, Daiki Watanabe, Toyota Misa, Shota Suzuki, Kyoma Tanigawa, Momoko Nagai-Tanima, Tomoki Aoyama

“…Significant diurnal variations in gait parameters among older adults with KOA highlight the importance of considering time of day when evaluating gait and planning interventions. Wearable sensor technology enables continuous, objective gait monitoring in real-world settings, facilitating personalized and time-sensitive approaches for managing KOA.…”
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Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning by Seung Hyun Kim, Jun Byung Park, Jae Yoon Na, Shahzad Ahmed, Jihyun Keum, Hyun-Kyung Park, Sung Ho Cho

“…While early recognition of infants at high risk for NDIs is essential for enabling timely intervention, it remains a challenging endeavor. …”
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Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position by Antonio Malvasi, Lorenzo E. Malgieri, Tommaso Difonzo, Reuven Achiron, Andrea Tinelli, Giorgio Maria Baldini, Lorenzo Vasciaveo, Renata Beck, Ilenia Mappa, Giuseppe Rizzo

“…This multidimensional approach enabled more personalized and evidence-based management of malpositions during labor, potentially reducing unnecessary interventions while identifying cases where expectant management might be futile. …”
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An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases by Wen-Shin Hsu, Guan-Tsen Liu, Su-Juan Chen, Si-Yu Wei, Wei-Hsun Wang

“…<b>Conclusions:</b> This automated system provides a scalable and cost-effective solution for the early detection of digital clubbing, enabling timely intervention for lung and cardiovascular diseases. …”
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