AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o by Yilan Li, Tianshu Gu, Chengyuan Yang, Minghui Li, Congyi Wang, Lan Yao, Weikuan Gu, DianJun Sun

“…These findings suggest that artificial intelligence–assisted hypothesis generation could play a crucial role in advancing the field of cardiotoxicity, leading to more accurate predictions, earlier detection, and better patient outcomes.…”
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The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response by Yu-Cherng Chang, Bryan Nixon, Felipe Souza, Fabiano Nassar Cardoso, Etan Dayan, Erik J. Geiger, Andrew Rosenberg, Gina D’Amato, Ty Subhawong

“…Moreover, imaging biomarkers could facilitate earlier detection of treatment efficacy or resistance, enabling tailored therapy. …”
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Recent advances of engineering cell membranes for nanomedicine delivery across the blood–brain barrier by Shengnan Yuan, Dehong Hu, Duyang Gao, Christopher J. Butch, Yiqing Wang, Hairong Zheng, Zonghai Sheng

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Structural health monitoring of timber bridges – A review by Farshid Abdoli, Maria Rashidi, Jun Wang, Rafat Siddique, Vahid Nasir

“…Therefore, the current study is about structural health monitoring of timber bridges by focusing on deterioration mechanisms of timber, non-destructive tools for damage detection, and discussion about emerging approaches, including artificial intelligence tools, sensor/data fusion and Internet of Things, and digital twin.…”
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Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning by Taejun Sung, So-Hyun Kim, Seongmun Sim, Daehyeon Han, Eunna Jang, Jungho Im

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High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data by Annemarie F. Laudanski, Arne Küderle, Felix Kluge, Bjoern M. Eskofier, Stacey M. Acker

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Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties by Pengjie Xu, Weining Huang, Tianrui Zhao, Wei Zhang, Tongwei Lu, Guiyan Qiang, Lin Zhang, Yanzheng Zhao

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SWRD–YOLO: A Lightweight Instance Segmentation Model for Estimating Rice Lodging Degree in UAV Remote Sensing Images with Real-Time Edge Deployment by Chunyou Guo, Feng Tan

“…However, Unmanned Aerial Vehicle (UAV)-based lodging detection faces challenges such as complex backgrounds, variable lighting, and irregular lodging patterns. …”
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Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…Furthermore, a procedure for conducting clinical validations of artificial intelligence (AI) based cell detection methods was elucidated. …”
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Introduction of neural network technologies to optimise the control of the operating modes of a sucker-rod pump installation by O. Turchyn

“…The study also showed that adaptive control algorithms based on artificial intelligence can automatically adjust the operating modes of the SRP depending on variable conditions, such as pressure fluctuations or changes in the properties of the oil produced. …”
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RunicNet: Leveraging CNNs With Attention Mechanisms for Cervical Cancer Cell Classification by Erin Beate Bjørkeli, Morteza Esmaeili

“…Integrating such AI systems into clinical workflows may enhance early detection and reduce diagnostic variability in Pap smear analysis.…”
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RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…<b>Background:</b> Reinforcement learning (RL) represents a significant advancement in artificial intelligence (AI), particularly for complex sequential decision-making challenges. …”
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Computer-Aided Diagnosis Techniques for Brain Tumor Segmentation and Classification Using MRI by Gadicha A. B., Kale Prachi V., Dalvi G. D., Mohod M. M., Pakhale S. C., Khan S. M.

“…Brain tumors are among the most life-threatening neurological conditions, characterized by the abnormal and uncontrolled growth of brain cells. Early and accurate detection of brain tumors is critical for effective treatment planning and improving patient survival rates. …”
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Liquid biopsy for minimal residual disease and monitoring in early-stage non-small cell lung cancer: current clinical utility and implementation challenges by Yoshiharu Sato

“…This review summarizes recent developments in circulating tumor DNA (ctDNA)-based liquid biopsy for the detection and monitoring of minimal residual disease (MRD) in early-stage solid tumors. …”
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Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial by Marie Keinert, Lena Schindler-Gmelch, Lydia Helene Rupp, Misha Sadeghi, Klara Capito, Malin Hager, Farnaz Rahimi, Robert Richer, Bernhard Egger, Bjoern M. Eskofier, Matthias Berking

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Application of Bayesian Neural Networks in Healthcare: Three Case Studies by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

“…Advancements in artificial intelligence have significantly improved predictive modeling capabilities, with BNNs offering a probabilistic framework that addresses the inherent uncertainty and variability in healthcare data. …”
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Retinal Thickness Analysis Using Optical Coherence Tomography: Diagnostic and Monitoring Applications in Retinal Diseases by Seong Joon Ahn

“…Despite challenges such as variability in measurements, segmentation errors, and interpretation difficulties, advancements in artificial intelligence and machine learning have significantly improved accuracy and efficiency. …”
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Rapid acquisition and surface defects recognition based on panoramic image of small-section hydraulic tunnel by Haoyu Wang, Jichen Xie, Jinyang Fu, Cong Zhang, Dingping Chen, Zhiheng Zhu, Xuesen Zhang

“…The proposed YOLOv5-DECA has great detection performance for targets with variable shapes and can solve the problem of classification imbalance in surface defects. …”
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