Bi-modal ultrasound radiomics and habitat analysis enhanced the pre-operative prediction of axillary lymph node burden in patients with early-stage breast cancer by Jing Xu, Pan Qi, Xiaoyan Ou, Qiaoxin Zhong, Zhen-Wen Chen, Yin Wang, Aijiao Yi, Bin Wang

“…All patients were randomly divided into training cohort (165 patients) and test cohort (41 patients). …”
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Three-dimensional (3D) vascular reconstruction of the superior mesenteric vessels: a practical tool for the young surgeon approaching right hemicolectomy with CME technique by Luca Scaravilli, Vincenza Paola Dinuzzi, Felicia Andrei, Andrea Carnevali, Giulia Maria Marini, Martina Pardo, Antonella Nisi, Ildo Scandroglio, Camillo Leonardo Bertoglio

“…Three-dimensional (3D) vascular reconstruction, through segmentation—a process that groups pixels with similar characteristics into segments—is a technique that enables the three-dimensional visualization of blood vessels from medical images, usually obtained through CT or magnetic resonance imaging. 3D vascular reconstruction of the superior mesenteric vessels obtained from preoperative images of surgical patients enhances preoperative anatomical understanding, making surgery safer, especially for young surgeons approaching this technique. …”
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Retrospective study of the effectiveness of scleral buckling under direct vision with operating lamp illumination in 17 cases of retinal detachment associated with retinal dialysis by Shanyu Li, Dong Han, Xiaoxuan Wang, Li Li, Zhixia Dou, Xiujun Liu, Jie Zhang

“…Abstract Objective To investigate the effectiveness of scleral buckling under direct vision with the operating lamp illumination for the treatment of retinal detachment (RD) associated with retinal dialysis. …”
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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…Objective As a critical step in tunnel defect detection and analysis, lining line identification has long faced challenges in analyzing detection data. …”
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Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study by Wou young Chung, Jinsik Yoon, Dukyong Yoon, Songsoo Kim, Yujeong Kim, Ji Eun Park, Young Ae Kang

“…We analyzed 36,142 CXR images of 4492 patients with PTB obtained from Severance Hospital, focusing specifically on the lung region through segmentation and cropping with TransUNet. We used data from 2004 to 2020 to train the model, data from 2021 for testing, and data from 2022 to 2023 for internal validation. …”
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Development of Modic Changes After Percutaneous Endoscopic Transforaminal Lumbar Discectomy: From Risk Analysis to Prediction Modeling by Li L, Wang C, Zhang H, Lin A, Qu C, Sun Y, Tao H, Ma X

“…The patients were divided into a training set and a validation set based on their surgery dates. …”
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Real-Time Coronary Artery Dominance Classification from Angiographic Images Using Advanced Deep Video Architectures by Hasan Ali Akyürek

“…<b>Background/Objectives</b>: The automatic identification of coronary artery dominance holds critical importance for clinical decision-making in cardiovascular medicine, influencing diagnosis, treatment planning, and risk stratification. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…However, a single incorrect segmentation by stand-alone AI resulting in large measurement discrepancy led to the advice that human readers should visually verify nodule segmentation. …”
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

“…Abstract Speech-based indices are promising objective biomarkers for identifying schizophrenia and monitoring symptom burden. …”
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Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models by Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang

“…ObjectiveProstate cancer is prevalent among older men. …”
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Comparison of Manual and Automated Capillary Morphometry Measurements in Oral Mucosa: A Pilot Study by Salvatore Nigliaccio, Enzo Cumbo, Davide Alessio Fontana, Cesare Fabio Valenti, Domenico Tegolo, Antonino Tocco, Pietro Messina, Giuseppe Alessandro Scardina

“…The analysis was conducted using videocapillaroscopy, a non-invasive imaging technique that allows for detailed visualization and quantification of microvascular structures. …”
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