17-Week Delay Surgery after Chemoradiation in Rectal Cancer with Complete Pathological Response by Marisa D. Santos, Manuel T. Gomes, Filipa Moreno, Anabela Rocha, Carlos Lopes

Get full text

Squeeze-and-Excitation Vision Transformer for Lung Nodule Classification by Xiaozhong Xue, Yanhe Ma, Weiwei Du, Yahui Peng

Get full text

Improving sonographic visualisation of the appendix in a regional referral hospital by Shyr Chui, Carly Phinney, Karina Hansen, Deanna Danskin

Get full text

Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

“…This work brought forward the prospects of developing an automated, accurate, and reliable brain tumor classification system from SWT, ResNet50V2, and LSTM, whereas otherwise, it catered for needs in the enhancement of diagnostic tools in medical imaging. The method was analyzed using the Kaggle dataset and scored an amazing accuracy of 98.7%, which proved the effectiveness of the method in improving brain tumor classification. …”
Get full text

A multiscale model for glioma spread including cell-tissue interactions and proliferation by Christian Engwer, Markus Knappitsch, Christina Surulescu

“…Glioma is a broad class of brain and spinal cord tumors arising from glia cells, which are the main brain cells that can develop into neoplasms.They are highly invasive and lead to irregular tumor margins which are not precisely identifiable by medical imaging, thus rendering a precise enough resection very difficult.The understanding of glioma spread patterns is hence essential for both radiological therapy as well as surgical treatment.In this paper we propose a multiscale model for glioma growth including interactions of the cells with the underlying tissuenetwork, along with proliferative effects. …”
Get full text

Aseptic Abscesses and Inflammatory Bowel Disease: Two Cases and Review of Literature by Natasha Bollegala, Rishad Khan, Michael A. Scaffidi, Ahmed Al-Mazroui, Jenna Tessolini, Adrienne Showler, Errol Colak, Samir C. Grover

Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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). …”
Get full text

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.…”
Get full text

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. …”
Get full text

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

Get full text