Non-invasively measured myocardial torsional modulus: Comparison to invasive evaluation of diastolic function by M. Rifqi Aufan, Himanshu Gupta, Oleg F. Sharifov, Gilbert J. Perry, Thomas S. Denney, Jr., Steven G. Lloyd

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Threat Analysis of Power System Case Study via STRIDE Threat Model in Digital Twin Real-time Platform by Muhsen Hani, Allahham Adib, Qandil Moath, Alkhraibat Asma, Almomani Ahmad, Al-Halhouli Ala’aldeen

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Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

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Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical Teams by Yuexing Hao, MS, Jason Holmes, PhD, Jared Hobson, MD, Alexandra Bennett, MD, Elizabeth L. McKone, MD, Daniel K. Ebner, MD, David M. Routman, MD, Satomi Shiraishi, MD, Samir H. Patel, MD, Nathan Y. Yu, MD, Chris L. Hallemeier, MD, Brooke E. Ball, MSN, Mark Waddle, MD, Wei Liu, PhD

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Analysis of Cooling a Printed 3D Mold Using a Casting and Solidification Simulation of a CuSn20 Bronze Bell Casting by M. Nadolski, Ł. Bernat, D. Cekus, P. Kwiatoń, A. Pietrzak

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Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields by Jingfeng Ou, Jin Zhang, Momen Alswadeh, Zhenglin Zhu, Jijun Tang, Hongxun Sang, Ke Lu

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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

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Encoder–Decoder Variant Analysis for Semantic Segmentation of Gastrointestinal Tract Using UW-Madison Dataset by Neha Sharma, Sheifali Gupta, Dalia H. Elkamchouchi, Salil Bharany

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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

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Prediction of Work-relatedness of Shoulder Musculoskeletal Disorders as by Using Machine Learning by Saemi Jung, Bogeum Kim, Yoon-Ji Kim, Eun-Soo Lee, Dongmug Kang, Youngki Kim

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Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading by Jiabin Yu, Qi Liu, Chenjie Xu, Qinli Zhou, Jiajun Xu, Lingying Zhu, Chen Chen, Yahan Zhou, Binggang Xiao, Lin Zheng, Xiaofeng Zhou, Fengming Zhang, Yuhang Ye, Hongmei Mi, Dongping Zhang, Li Yang, Zhiwei Wu, Jiayi Wang, Ming Chen, Zhirui Zhou, Haoyang Wang, Vicky Y. Wang, Enyu Wang, Dong Xu

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Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: A systematic review on measurement properties by Leonard TF Ho, Vincent CH Chung, Charlene HL Wong, Irene XY Wu, Kun Chan Lan, Darong Wu, Jerry WF Yeung, Nevin L Zhang, Ting Hung Leung, Justin CY Wu

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Artificial Intelligence in Virtual Screening: Transforming Drug Research and Discovery—A Review by Sayantani Roy, Karuppiah Nagaraj, Amit Mittal, Flora C. Shah, Kaliyaperumal Raja

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Analysis of thermal diffusion and diffusion thermo effects under the condition of pollutant concentration and bio-convection: An artificial neural network approach by Prateek Kattimani, Nagaraj Patil, Rishiv Kalia, B Sahana, M Sunitha, K.V. Nagaraja

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Low-intensity focused ultrasound of the spine in the treatment of chronic pain and movement disorder: a scoping review by Kyung Seol, Brian Hong, Nicolas Kelhofer, Suguna Pappu, Suguna Pappu, Michael Oelze, Michael Oelze, Michael Oelze

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Quantum Machine Learning for Identifying Transient Events in X-Ray Light Curves by Taiki Kawamuro, Shinya Yamada, Shigehiro Nagataki, Shunji Matsuura, Yusuke Sakai, Satoshi Yamada

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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

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Effect of social perspectives in the relationship between suicidal ideation and depression among young women in slums of Kampala, Uganda by Charles Natuhamya, Enid Nabukalu, Matthew Lyons, Kevin B. Gittner, Jane Palmier, Rachel Culbreth, Monica H. Swahn

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A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case by Jose Miguel Riquelme-Dominguez, Manuel Carranza-García, Pedro Lara-Benítez, Francisco M. González-Longatt

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