Alcohol promotes CPT1A-induced lipid metabolism disorder to sentinel-regulate acute pancreatitis by Zenghui Li, Xinghui Li, Hui Jiang, Jingdong Li, Bin Xiao, Yong Chen, Shunhai Jian, Mei Zeng, Xiaoming Zhang

Get full text

Evaluation of Intervertebral Disc Space Width Between 10th and 11th Thoracic Vertebrae in Cats Using Radiography and Magnetic Resonance Imaging by Jiwon Kim, Danbee Kwon, Bumseok Kim, Kichang Lee, Hakyoung Yoon

Get full text

Myocardium Assessment by Relaxation along Fictitious Field, Extracellular Volume, Feature Tracking, and Myocardial Strain in Hypertensive Patients with Left Ventricular Hypertrophy by Seyed Amir Mirmojarabian, Eveliina Lammentausta, Esa Liukkonen, Lauri Ahvenjärvi, Juhani Junttila, Miika T. Nieminen, Timo Liimatainen

Get full text

Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

Get full text

Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

Get full text

High Spatiotemporal Near‐Infrared II Fluorescence Lifetime Imaging for Quantitative Detection of Clinical Tumor Margins by Zhen Chen, Linjian Huang, Duyang Gao, Zhouzhou Bao, Dehong Hu, Wei Zheng, Jing Chen, Jiuling Liao, Hairong Zheng, Zonghai Sheng

Get full text

Granulomatous Mastitis: Imaging of Temporal Evolution by Ahmed Bilal, Fahad Badar Albadar, Nauman Bashir Barlas

Get full text

The Impact of Multidisciplinary Discussion (MDD) in the Diagnosis and Management of Fibrotic Interstitial Lung Diseases by Ghofran Ageely, Carolina Souza, Kaissa De Boer, Saly Zahra, Marcio Gomes, Nha Voduc

Get full text

Comprehensive Analysis of Alpha-Parametric Set for the Calculation of Intersection Lengths of Radiological Ray Path in Siddon's Algorithm Used in 3D Image Reconstruction by Adem Polat

“…The Siddon algorithm is one of the radiological ray path calculation tools used in 3D image reconstruction in medical imaging. In the algorithm, a set of alpha-parametric values is computed containing the length and index values where the voxel array of the x-ray intersects the x-y-z axes. …”
Get full text

Amino Acid-Mediated Metabolism: A New Power to Influence Properties of Stem Cells by Jilan Liu, Xianyun Qin, Dongfeng Pan, Bin Zhang, Feng Jin

Get full text

Geometrical determinants of cerebral artery fenestration for cerebral infarction by Yuqian Mei, Xiaoqin Chen, Yao Zhang, Yanling Wang, Bo Wu, Mingcheng Hu, Quan Bao

Get full text

Toward a 10-W level femtosecond erbium laser operating in the 1600 nm low gain region by Haolin Yang, Ruili Zhang, Sailing He

Get full text

Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

“…Current clinical diagnostic trials include traditional methods (such as occlusion test, probing, cold stimulation, etc.) and X-rays based medical imaging (periapical radiography (PR), cone-beam computed tomography (CBCT), etc.). …”
Get full text

QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…QuantumNet demonstrates high accuracy and resource efficiency, providing a transformative solution for DR detection and broader medical imaging applications. The method is as follows: • Evaluate three classical deep learning models—CNN, ResNet50, and MobileNetV2—using the APTOS 2019 blindness detection dataset on Kaggle to identify the best-performing model for integration. • QuantumNet combines the best-performing classical DL model for feature extraction with a variational quantum classifier, leveraging quantum transfer learning for enhanced diagnostics, validated statistically and on Google Cirq using standard metrics. • QuantumNet achieves 94.11 % accuracy, surpassing classical DL models and prior research by 11.93 percentage points, demonstrating its potential for accurate, efficient DR detection and broader medical imaging applications.…”
Get full text

Blood Glucose Control Using a Novel Continuous Blood Glucose Monitor and Repetitive Intravenous Insulin Boluses: Exploiting Natural Insulin Pulsatility as a Principle for a Future... by Nils K. Skjaervold, Dan Östling, Dag R. Hjelme, Olav Spigset, Oddveig Lyng, Petter Aadahl

Get full text

Changes to Intermediary Metabolites in Sporadic and LRRK2 Parkinson’s Disease Demonstrated by Proton Magnetic Resonance Spectroscopy by Jan O. Aasly, Oddbjørn Sæther, Krisztina K. Johansen, Tone F. Bathen, Guro F. Giskeødegård, Linda R. White

Get full text

CASE PRESENTATION by Iuliana Iordan, Andreea Neculcea, Alina Mititelu, Claudiu Popescu, Ana Maria Vlădăreanu

“…Special evolution in myelofibrosis – case reports Neuroendocrine tumor (bronchial carcinoid) discovered after ocular symptoms – a case report Sepsis, dyspnea and cystic cardiac mass – the importance of medical imaging in the diagnostic algorithm Fistula complications of bevacizumab therapy in metastatic colorectal cancer – oncology surgeon’s point of view: a case presentation…”
Get full text

The Convergence of Nanotechnology, Biotechnology and Cancer Medicine in the Fourth Industrial Revolution by Steven Mufamadi, Zamanzima Mazibuko

“… Medical technologies of the fourth industrial revolution (Industry 4.0), such as nanotechnology, biotechnology, artificial  intelligence (AI), 3D printing and advanced materials are already transforming medical technology and the pharmaceutical industry by offering accurate diagnoses, targeting therapies with fewer side effects, and providing better medical imaging and personalised medicine. …”
Get full text

Breakthroughs in deep tumour penetrating nano‐phototheranostics for tumour ablation by Min‐Jun Baek, Sang Min Lee, Dae‐Duk Kim, Jae‐Young Lee

Get full text

Severity Assessment of COVID-19 Using a CT-Based Radiomics Model by Zhigao Xu, Lili Zhao, Guoqiang Yang, Ying Ren, Jinlong Wu, Yuwei Xia, Xuhong Yang, Milan Cao, Guojiang Zhang, Taisong Peng, Jiafeng Zhao, Hui Yang, Jinfeng Hu, Jiangfeng Du

Get full text