Results 141 to 150 of about 42,977 (292)

Radiomics and Back Pain

Global Spine Journal
Study Design Narrative review. Objectives Back pain is one of the leading causes of disability worldwide. While conventional imaging interpretation remains subjective and expertise-dependent, radiomics offers quantitative, data-driven ...
Jason Lin, Vinay Duddalwar, Michael M. Safaee   +2 more
openaire   +2 more sources

Clinical Applications of Multimodal Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with “multimodal” AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology.
Ying Jie Li, Flora Su, Norbert Banyi, Philip Edgcumbe, Andrew Thamboo, Ameen Amanian   +5 more
wiley   +1 more source

A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy

, 2018
Wenyu Zhang,1,2 Wei Cai,1,2 Baochun He,2,3 Nan Xiang,1 Chihua Fang,1 Fucang Jia2,3 1Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 2Research Lab for Medical Imaging and ...
Zhang WY, Fang C, Jia F, Xiang N, He B, Cai W   +5 more
core  

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

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

Pediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang, Xiaoman Ding, Wanyue Zhang, Tieliu Shi   +3 more
wiley   +1 more source

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

From HBV to MASLD Cirrhosis: Mechanistic Insights and Therapeutic Strategies

Portal Hypertension &Cirrhosis, EarlyView.
This review examines the epidemiological shift from hepatitis B virus (HBV) to metabolic dysfunction‐associated steatotic liver disease (MASLD) as the leading cause of cirrhosis globally. It highlights the distinct pathogenic mechanisms between HBV and MASLD cirrhosis and discusses evolving diagnostic tools and therapeutic strategies tailored to the ...
Hanqi Yu, Hongfan Ding, Yang Huang, Haoze Cao, Yuan Ding, Weilin Wang   +5 more
wiley   +1 more source

MR-radiomic-based pathological response prediction to neoadjuvant chemotherapy in breast cancer [PDF]

openIn the evolving landscape of artificial intelligence (AI) and personalized medicine, the significance of employing supervised and unsupervised learning techniques has surged, particularly in the comprehensive analysis of medical images across diverse
FEDON VOCATURO, MARINA
core  

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