Potential Improvements in Lung Nodule Measurement Precision in Computed Tomography Using Artificial Intelligence Software and Its Impact on Clinical Practice - A Simulation Study Background Accurate measurement of lung nodules is crucial for the detection and management of lung cancer. Nodule size is the primary basis for risk classification in exi...

Potential of Self-Distilling Masked Image Transformer in Longitudinal MRI - Automatic Segmentation of Cervical Lymph Node Metastases Report Introduction In tumor radiotherapy, automatic segmentation technology promises to improve speed and reduce inter-reader variability caused by manual segmentation. In radiotherapy clinical practice, accurate and...

Benchmarking Gene Set Scoring Tools for Single-Cell ATAC-seq Data Authors: Xi Wang, Qiwei Lian, Haoyu Dong, Shuo Xu, Yaru Su, Xiaohui Wu Affiliations: Pasteurien College (Soochow University Medical College), Department of Automation, Xiamen University, School of Mathematics and Computer Science, Fuzhou University Corresponding Author: xhwu@suda.edu...

Protein Structure Prediction: Challenges, Progress, and Shifts in Research Paradigms Protein structure prediction is an important interdisciplinary research topic that has attracted researchers from various fields including biochemistry, medicine, physics, mathematics, and computer science. Researchers have adopted multiple research paradigms to so...

Diagnostic Accuracy of AI Tools for Estimating Gestational Age Based on Blind Ultrasound Scanning Background Accurate estimation of gestational age (GA) is the foundation of good prenatal care, typically achieved through ultrasound examinations. However, many low-resource areas lack sufficient ultrasound equipment, making accurate GA estimation cha...

Exploring the Relationship between Face-Specific Activity and Conscious Face Perception Introduction Face perception is a fundamental cognitive process that enables humans to effectively identify faces in the environment, thus facilitating better social interactions. Extensive research has identified a specific region in the ventral visual cortex o...

Smart Independent Component Analysis (SMART ICA): An Innovative Method for Extracting Accurate Brain Functional Networks Background Introduction In brain science research, Functional Networks (FNs) show great potential for understanding human brain function by exploring the integration and interaction relationships between different brain regions. ...

Study on Quantitative Expression and Treatment Response of Latent Disease Factors Underlying Psychopathological Dimensions Revealed by Unsupervised Machine Learning Research Background Heterogeneity and comorbidity are prevalent in psychiatric diagnoses, posing challenges for precise diagnosis and personalized treatment. For instance, Autism Spectr...

Background Introduction In the human visual system, the understanding and navigation of natural scenes are exceptionally outstanding in terms of both complexity and efficiency. This process requires the transformation of incoming sensory information into visual features ranging from low-level to high-level, such as edges, object parts, and objects ...

Automated Clinical Assessment of Abnormal Walking Movements in ABI Patients Through Image Extraction and Classification Systems Academic Background Walking disability is a common physical impairment following Acquired Brain Injury (ABI). ABI typically includes stroke and traumatic brain injury, with a global incidence of approximately 1.5 million c...