Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…While hospital systems focus on text and visuals in medical images, audio integration remains an overlooked area with untapped potential. …”
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Long-term outcomes of Türkiye’s first population-based mammography screening program: a decade of breast cancer detection and survival analysis in Bahçeşehir by Beyza Ozcinar, Erkin Aribal, Neslihan Cabioglu, Sibel Ozkan Gurdal, Gamze Varol, Nuran Akyurt, Efe Sezgin, Vahit Ozmen

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Synchrotron X-ray imaging study on the mechanism of solids transfer to bitumen froth during oil sands flotation 1: True flotation by Hanyu Zhang, Liuyin Xia, Ning Zhu, Sergey Gasilov, Iris He, Xiaofan Ding

“…The collected bitumen froth was immediately characterized using synchrotron-based X-ray imaging by a monochromatic X-ray with photon energy of 60 keV provided by 05ID-2 beamline of the BioMedical Imaging and Therapy (BMIT) facility at the Canadian Light Source (CLS). …”
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Association between deep gray matter iron deposition and clinical symptoms in Parkinson’s disease: a quantitative susceptibility mapping study by Hui Zhao, Hui Zhao, Qiu-Hong Ji, Zhong-Zheng Jia, Li-Hua Shen

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Surgical planning of small intestine neuroendocrine tumors: the concept of mesenteric tumor deposits by Romain L’Huillier, Gilles Poncet, Arnaud Pasquer, Thomas Walter, Catherine Lombard-Bohas, Valérie Hervieu, Bénédicte Cayot, Pierre-Jean Valette, Helen Cheung, Laurent Milot

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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…It discusses how to combine feature interpretation challenges into medical imaging for accurate localization and precise segmentation of malignant regions. …”
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The Investigation of the Relationship Between Individual Pain Perception, Brain Electrical Activity, and Facial Expression Based on Combined EEG and Facial EMG Analysis by Ma C, Wang C, Zhu D, Chen M, Zhang M, He J

“…Chaozong Ma,1,2,* Chenxi Wang,3,* Dan Zhu,1 Mingfang Chen,1 Ming Zhang,1,4 Juan He1 1Department of Rehabilitation Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China; 2Military Medical Psychology School, Fourth Military Medical University, Xi’an, People’s Republic of China; 3Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, People’s Republic of China; 4Department of Medical Imaging, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ming Zhang; Juan He, Email zhangming01@mail.xjtu.edu.cn; hejuan198553@126.comPurpose: Pain is a multidimensional, unpleasant emotional and sensory experience, and accurately assessing its intensity is crucial for effective management. …”
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Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases by Mosleh Hmoud Al-Adhaileh, Ebrahim Mohammed Senan, Waselallah Alsaade, Theyazn H. H Aldhyani, Nizar Alsharif, Ahmed Abdullah Alqarni, M. Irfan Uddin, Mohammed Y. Alzahrani, Elham D. Alzain, Mukti E. Jadhav

“…Video endoscopy is one of the latest technologies in the medical imaging field for the diagnosis of gastrointestinal diseases, such as stomach ulcers, bleeding, and polyps. …”
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Assessing microvascular dysfunction and predicting long-term prognosis in patients with cardiac amyloidosis by cardiovascular magnetic resonance quantitative stress perfusion by Leting Tang, Wenjin Zhao, Kang Li, Lin Tian, Xiaoyue Zhou, Hu Guo, Mu Zeng

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Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis by Vivens Mubonanyikuzo, Hongjie Yan, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

“…Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detection and diagnosis of AD. …”
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Functional connectome gradient of prefrontal cortex as biomarkers of high risk for internet gaming disorder by Xinwen Wen, Lirong Yue, Zhe Du, Jiahao Zhao, Mengjiao Ge, Cunfeng Yuan, Hongmei Wang, Qinghua He, Kai Yuan

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Construction of an Interpretable Model of the Risk of Post-Traumatic Brain Infarction Based on Machine Learning Algorithms: A Retrospective Study by Li S, Li H, Wu B, Pan R, Liu Y, Wang J, Wei D, Gao H

“…Shaoji Li,1,* Hongjian Li,2,* Baofang Wu,1,* Rujun Pan,3 Yuqi Liu,4 Jiayin Wang,1 De Wei,3 Hongzhi Gao1 1Department of Neurosurgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, People’s Republic of China; 2School of Medical Imaging, North Sichuan Medical College, Nanchong, 634700, People’s Republic of China; 3Department of Neurosurgery, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, People’s Republic of China; 4Department of Intensive Care Unit, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, People’s Republic of China*These authors contributed equally to this workCorrespondence: De Wei; Hongzhi Gao, Email weidele@fjmu.edu.cn; gaohongzhi@fjmu.edu.cnBackground: Post-traumatic cerebral infarction (PTCI) is a severe complication resulting from traumatic brain injury (TBI), which can lead to permanent neurological damage or death. …”
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Optimizing AI models to predict esophageal squamous cell carcinoma risk by incorporating small datasets of soft palate images by Kotaro Waki, Katsuya Nagaoka, Keishi Okubo, Masato Kiyama, Ryosuke Gushima, Kento Ohno, Munenori Honda, Akira Yamasaki, Kenshi Matsuno, Yoki Furuta, Hideaki Miyamoto, Hideaki Naoe, Motoki Amagasaki, Yasuhito Tanaka

“…The approach may be particularly suitable for institutes with limited medical imaging resources.…”
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MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma by Jing Yang, Yang Liu, Xiaolong Liu, Yaoxin Wang, Xianhong Wang, Conghui Ai, Qiu Bi, Ying Zhao

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Competency in Chest Radiography Interpretation by Junior Doctors and Final Year Medical Students at a Teaching Hospital by Bashiru Babatunde Jimah, Anthony Baffour Appiah, Benjamin Dabo Sarkodie, Dorothea Anim

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Multi-biofluid metabolomics analysis of allergic respiratory rhinitis and asthma in early childhood by Chih-Yung Chiu, MD, PhD, Meng-Han Chiang, MS, Chieh-Ni Kuo, BS, Mei-Ling Cheng, PhD, Gigin Lin, MD, PhD

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Artificial Intelligence and Radiomics in Cholangiocarcinoma: A Comprehensive Review by Marta Zerunian, Tiziano Polidori, Federica Palmeri, Stefano Nardacci, Antonella Del Gaudio, Benedetta Masci, Giuseppe Tremamunno, Michela Polici, Domenico De Santis, Francesco Pucciarelli, Andrea Laghi, Damiano Caruso

“…Recent innovations in medical imaging combined with the use of radiomics and artificial intelligence (AI) can lead to improvements in the early detection, characterization, and pre-treatment staging of these tumors, guiding clinicians to make personalized therapeutic strategies. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…Additionally, a tiny fully convolutional network architecture has been employed, reducing the number of model parameters and computational costs while maintaining or enhancing performance, which is crucial for real-time medical imaging analysis. The experiments utilized a real-world endoscopic image dataset from the hospital, and the results indicated that MSEC-YOLO outperformed the original YOLOv8 model and its multi-kernel versions across multiple evaluation metrics, especially in critical categories such as malignant tumors, polyps, and papillomas, demonstrating extremely high precision and recall rates.…”
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The role of Artificial Intelligence in detecting breast lesions using ultrasound by Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Elżbieta Tokarczyk, Martyna Michalska, Adam Łabuda

“…Continued advancements and validation efforts will ensure its broader acceptance and sustained impact in medical imaging. …”
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Vitamin D Deficiency as a Risk Factor for Diabetic Retinopathy: A Systematic Review and Meta-Analysis by Claudia Elena Petrea, Laura Andreea Ghenciu, Roxana Iacob, Emil Robert Stoicescu, Dorel Săndesc

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