Results 121 to 130 of about 90,463 (317)
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 +5 more
wiley +1 more source
ABSTRACT Background Children with congenital heart disease (CHD) frequently undergo cardiac magnetic resonance imaging (MRI) under anesthesia. Although these procedures lack surgical stimulus, patients remain physiologically vulnerable, and the incidence of perioperative cardiovascular instability in this setting is poorly defined.
Theodora Wingert +8 more
wiley +1 more source
Development of a Risk Prediction Model for Bone Metastasis in Lung Adenocarcinoma With a T1 Primary Tumor Based on Intratumoral and Peritumoral Radiomics. [PDF]
ABSTRACT Purpose Bone metastasis significantly affects the prognosis of lung adenocarcinoma (LUAD) patients. This study aims to construct and validate a risk prediction model for bone metastasis in LUAD with a T1 primary tumor based on intratumoral and peritumoral radiomics features.
Li T, Zheng H, Guo Y, Zhang K, Liao M.
europepmc +2 more sources
Neoadjuvant chemoradiotherapy (NCRT) significantly improves overall survival over adjuvant chemoradiotherapy for resectable cT3‐4a esophageal squamous cell carcinoma, with comparable progression‐free survival and toxicity. This propensity‐matched study supports NCRT as the preferred strategy for this high‐risk population.
Mingqiang Lin +5 more
wiley +1 more source
Background Postoperative delirium is a common complication in older patients, with poor long-term outcomes. This study aimed to investigate risk factors and develop a predictive model for postoperative delirium in older patients after major abdominal ...
Yun-Gen Luo +12 more
doaj +1 more source
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 +7 more
wiley +1 more source
Qi Wan, Ran Wei, Jing Tang, Ying-Ping Deng, Ke Ma Department of Ophthalmology, West China Hospital of Sichuan University, Chengdu City, Sichuan Province, People’s Republic of ChinaCorrespondence: Ying-Ping Deng, Department of Ophthalmology, West China ...
Tang J, Wan Q, Deng YP, Wei R, Ma K
core
Climate change is projected to intensify soil erosion in the Chalakkudy River Basin, with bare lands and steep uplands emerging as the most vulnerable hotspots under high‐emission scenarios. Forested areas showed greater resistance to soil erosion, highlighting the importance of targeted soil conservation for sustainable watershed management in ...
Sisira Uppengal +4 more
wiley +1 more source
A Nomogram for Predicting the Risk of CKD Based on Cardiometabolic Risk Factors
Peng Yu,1– 4 Ranran Kan,1,3 Xiaoyu Meng,1,3 Zhihan Wang,1,3 Yuxi Xiang,1,3 Beibei Mao,1,3 Xuefeng Yu1,3 1Department of Endocrinology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 2Department of ...
Kan R +6 more
core
Leading Sustainable Competitive Advantage From Within: An Analysis of the Mining Industry
ABSTRACT Sustainability has emerged as a critical global challenge, compelling industries to integrate environmental considerations into their core strategies. The main objective of this study is to examine the direct influence of green transformational leadership and the mediating roles of green knowledge management and green motivation in achieving a
Zhadyra Konurbayeva +5 more
wiley +1 more source

