Optimizing healthcare big data performance through regional computing by Tariq Alsahfi, Afzal Badshah, Omar Ibrahim Aboulola, Ali Daud

“…Abstract The healthcare sector is experiencing a digital transformation propelled by the Internet of Medical Things (IOMT), real-time patient monitoring, robotic surgery, Electronic Health Records (EHR), medical imaging, and wearable technologies. This proliferation of digital tools generates vast quantities of healthcare data. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…Many techniques have been proposed for segmenting medical imaging data; however, some of the approaches have poor performance, large inaccuracy, and require substantial computation time for analysing large medical volumes. …”
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Tongue Image Alignment via Conformal Mapping for Disease Detection by Jian Wu, Bob Zhang, Yong Xu, David Zhang

“…Tongue image analysis has been an active study in medical imaging. Existing tongue image processing approaches deal with the issue of image alignment in oversimplified ways. …”
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Esophageal Intramural Pseudodiverticulosis and Concomitant Eosinophilic Esophagitis: A Case Series by Michael A. Scaffidi, Ankit Garg, Brandon Ro, Christopher Wang, Tony T. C. Yang, Ian S. Plener, Andrea Grin, Errol Colak, Samir C. Grover

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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

“…Artificial intelligence (AI) in medical imaging is a growing and promising technology that can be applied in stroke diagnosis. …”
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Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms by Areej Alotaibi, Duaa AlSaeed

“…Integrating attention mechanisms (AMs) with deep learning has further enhanced the accuracy of medical image classification. While significant progress has been made, further research is needed to improve the detection accuracy. …”
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MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization by Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panagiotis Pintelas

“…Efficient and accurate vision models are essential for real-world applications such as medical imaging and deepfake detection, where both performance and computational efficiency are critical. …”
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Alopecia and Iron Deficiency: An Interventional Pilot Study in Primary Care to Improve the Request of Ferritin by Maria Salinas, Maria Leiva-Salinas, Emilio Flores, Maite López-Garrigós, Carlos Leiva-Salinas

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Golden Tandem of Photothermal Ablation and Simultaneous Anti-Inflammation in One Nanoparticle for Activated Macrophage-Targeted Atherosclerosis Treatment by Lu Y, Wang Y, Li Y, Li Y, Jiang YW, Li J

“…Yuqing Lu,1,* Yan Wang,2,* Yize Li,1,* Yunan Li,1 Yao-Wen Jiang,1,3 Jingjing Li1,3 1School of Medical Imaging, Xuzhou Medical University, Xuzhou, 221004, People’s Republic of China; 2The First Clinical Medical College, Xuzhou Medical University, Xuzhou, 221004, People’s Republic of China; 3Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yao-Wen Jiang; Jingjing Li, Email jiang@xzhmu.edu.cn; qingchao0124@163.comIntroduction: Photothermal therapy (PTT) is attracting increasing attention in treating atherosclerotic plaques. …”
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Monte Carlo Simulation of Gamma and Neutron Shielding with High-performance Ultra-heavy Cement Composite by Mohammadreza Alipoor, Mahdi Eshghi, Ramazan Sever

“…Radiation protection is important in medical imaging applications and radiotherapy rooms. Therefore, in this research, we have investigated features of the ionizing radiation shielding of the modified cement composite with iron, strontium, zinc, and zirconium elements in the photon energy range of 15 keV to 10 MeV. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Application of such algorithms include automate segmentation, lesion detection, and real-time image analysis, optimizing dose parameters based on patient-specific factors, thus prioritizing patient safety and treatment effectiveness while revolutionizing medical imaging. Then there are possible limitations of the Algorithmic approach to reduce radiation dose for patient that include concerns include data heterogeneity, lack of diversity, and challenges in data collection and privacy protection. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Abstract Chest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. …”
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An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty by Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, Karl Andersson

“…This research tackles the complexity and uncertainty of AD by employing a multimodal approach that integrates medical imaging and demographic data. <b>Methods:</b> To scale this system to larger environments, such as hospital settings, and to ensure the sustainability, security, and privacy of sensitive data, this research employs both deep learning and federated learning frameworks. …”
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Transient Ischemic Attack and Ischemic Stroke in Danon Disease with Formation of Left Ventricular Apical Thrombus despite Normal Systolic Function by Takeshi Tsuda, Amanda J. Shillingford, Jane Vetter, Vinay Kandula, Badal Jain, Joel Temple

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Optical imaging guidance in oncologic surgery and interventional oncology by Yiming Liu, Karim Valji, Wayne Monsky, Chuansheng Zheng, Xiaoming Yang

“…Over recent decades, optical imaging (OI) has become an integral part of medical imaging, offering significant advantages over other modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI). …”
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Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation by Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

“…These findings underscore the potential of our framework to improve medical imaging analysis and facilitate novel clinical applications.…”
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Application of compressive sensing techniques for advanced image processing and digital image transmission by Stefanović Nenad, Sazdić-Jotić Boban, Orlić Vladimir, Mladenović Vladimir, Ćirković Stefan

“…The findings suggest that CS offers a robust framework for efficient image acquisition and processing, making it a valuable tool for various applications in multimedia, medical imaging, and remote sensing.…”
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The Cost of Health Care for AIDS Patients in Saskatchewan by Kevin P Browne, Steve D Shafran, John M Conly

“…The total expenditure was $546,332 ($28,754 per patient), of which total fees to physicians were $37,210 (6.8%), and estimated costs of laboratory tests $117,917 (21.6%), drugs $36,930 (6.7%), and medical imaging $20,794 (3.8%). Patients now deceased cost $416,445 (mean $34,704 per patient), accounting for 76.2% of overall expenditures. …”
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Hyperpolarized 3He Functional Magnetic Resonance Imaging of Bronchoscopic Airway Bypass in Chronic Obstructive Pulmonary Disease by Lindsay Mathew, Miranda Kirby, Donald Farquhar, Christopher Licskai, Giles Santyr, Roya Etemad-Rezai, Grace Parraga, David G McCormack

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A shallow convolutional neural network for cerebral neoplasm detection from magnetic resonance imaging by Hossein Sadr, Zeinab Khodaverdian, Mojdeh Nazari, Mohammad Yamaghani

“…Recently, machine learning algorithms have become increasingly important in medical imaging and information processing, offering a robust alternative to the time-consuming and error-prone manual diagnosis of brain tumors. …”
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