Results 141 to 150 of about 43,566 (284)

Tumor Synthesis Conditioned on Radiomics

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Due to privacy concerns, obtaining large datasets is challenging in medical image analysis, especially with 3D modalities like Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing generative models, developed to address this issue, often face limitations in output diversity and thus cannot accurately represent 3D medical images.
Jonghun Kim, Inye Na, Eun Sook Ko, Hyunjin Park   +3 more
openaire   +2 more sources

Predicting brain age in children aged 2–6 years with autism spectrum disorders using routine T1‐ and T2‐weighted magnetic resonance imaging

Pediatric Investigation, EarlyView.
The routine magnetic resonance imaging‐based model accurately predicted brain age in children aged 2–6. Children with autism spectrum disorder (ASD) exhibited maturational delays at ages 3–5, shifting toward accelerated aging by age 5–6. This exploratory result highlights the dynamic, age‐related developmental heterogeneity in ASD.
Zunying Hu, Rongjia Xiang, Huanyu Luo, Di Hu, Huiying Kang, Huanjie Li, Xin Fan, Yun Peng   +7 more
wiley   +1 more source

Applications and prospects of artificial intelligence and digital medicine in pediatric nasal skull base tumors

Pediatric Investigation, EarlyView.
Pediatric nasal skull base tumors present diagnostic and therapeutic challenges due to their deep location, nonspecific symptoms, and the narrow nasal cavity in children. Although artificial intelligence (AI) and digital medicine have advanced early diagnosis, multidisciplinary treatment, and prognosis, their application in these rare tumors remains ...
Xiuping Wu, Jing Wei, Chen Liu, Pengpeng Wang, Wentong Ge, Yang Han   +5 more
wiley   +1 more source

Radiomics Analysis of Contrast-Enhanced Breast MRI for Optimized Modelling of Virtual Prognostic Biomarkers in Breast Cancer [PDF]

Objective: Breast cancer clinical stage and nodal status are the most clinically significant drivers of patient management, in combination with other pathological biomarkers, such as estrogen receptor (ER), progesterone receptor or human epidermal growth
Basak E. Dogan, Yin Xi, Keith Hulsey, Matthew Lewis, Dogan S. Polat   +4 more
core   +1 more source

When Fat Goes Astray: Your Liver and Pancreas Get Into Trouble

Portal Hypertension &Cirrhosis, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) and intrapancreatic fat deposition (IPFD) are both common manifestations of ectopic fat accumulation. Although they share multiple risk factors, they also show notable differences in pathological features, standardization of diagnosis, and research maturity.
Yuying Chen, Li Ding, Shan Zhao, Weihong Wang, Jing Zhong, Qiang Yan   +5 more
wiley   +1 more source

Quality appraisal of radiomics-based studies on chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS) [PDF]

Objectives: To assess the methodological quality of radiomics-based studies on bone chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS). Methods: A literature search was conducted on EMBASE and PubMed databases
Albano, Domenico, Sconfienza, Luca Maria, Gitto, Salvatore, Cuocolo, Renato, Messina, Carmelo, Klontzas, Michail E   +5 more
core   +1 more source

Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions

Portal Hypertension &Cirrhosis, EarlyView.
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley   +1 more source

Molecular and genomic advances in breast cancer: A comprehensive review of predictive and therapeutic innovations

Precision Medical Sciences, EarlyView.
Breast cancer subtypes, estrogen receptor‐positive (ER+), HER2‐enriched, and TNBC, are defined by genomic and epigenetic signatures. Multi‐omics profiling, immunotherapy, liquid biopsy, and AI‐driven radiogenomics enable precision medicine. Tools like Oncotype DX and PAM50 support personalized care.
Samina Malik, Arif Malik, Shahzad Ahmad, Hassan Mohsin, Shazia Iqbal   +4 more
wiley   +1 more source

Nomogram integrating MRI radiomics and white matter hyperintensity grading for predicting overall survival in patients with non‐small cell lung cancer and brain metastases receiving whole‐brain radiotherapy

Precision Radiation Oncology, EarlyView.
A prognostic nomogram integrating radiomic features and white matter hyperintensity (WMH) grading was developed to enable individualized survival prediction in patients with brain metastases (BMs). Integration of these imaging biomarkers into the clinical model enhanced predictive performance, indicating their incremental prognostic value for BM ...
Jianan Ni, Yuefeng Lu, Haoli Xu, Xuni Xu, Mengjing Zhao, Yingnan Xue, Gang Li, Yuxia Duan   +7 more
wiley   +1 more source

From prediction to intervention: Paradigm shifts in causal AI for precision medicine and large‐scale cohorts

VIEW, EarlyView.
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao, Yudian Xu, Yifan Chen, Honghao Huang, Wei Xu, Jun Pu   +5 more
wiley   +1 more source