Results 231 to 240 of about 5,693,469 (294)

Accuracy of Key Sonographic Markers for Juxta‐Articular Fractures

Journal of Ultrasound in Medicine, EarlyView.
Objectives To systematically evaluate sonographic features of long bone juxta‐articular fractures and identify key diagnostic predictors using machine learning‐based feature selection. Methods This prospective single‐center diagnostic accuracy study enrolled 121 patients with clinically suspected juxta‐articular fractures.
Xiaofang Fu, Lirong Liu, Hao Sun, Changqin Sun, Qinhan Yang, Mengjie Dou, Duo Shi, Junpu Hu, Zhiming He, Guangquan Zhou, Shiyu Jin, Faqin Lv   +11 more
wiley   +1 more source

Development and validation of a machine learning prediction model for postoperative arrhythmia after left atrial appendage occlusion. [PDF]

Medicine (Baltimore)
Xu L, Niu S, Yang S, Wang Y, Liu M, Qin X, Zhao Y.   +6 more
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

MRI-based radiomics with SHAP interpretation for preoperative prediction of upstaging in ductal carcinoma <i>in situ</i>: a comparative study of intratumoral, peritumoral, habitat, and fusion models. [PDF]

Transl Cancer Res
Meng Y, Jin H.
europepmc   +1 more source

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov, Kenan Toprak, Sibel Turedi, İsmail Koyuncu, Zulkif Tanrıverdi, Necip Fazıl Dedeoglu, Halil Fedai, Asuman Bicer, İbrahim Halil Altıparmak, Recep Demirbag, Gencay Sarıısık   +10 more
wiley   +1 more source

Evaluating player relevance in football teams through cooperative game theory. [PDF]

Sci Rep
Zúñiga-Leyton E, Cornejo L, Díaz V, Feres F, Márquez R.   +4 more
europepmc   +1 more source

Joint and Independent Associations of Dietary Antioxidant Intakes With Advanced Stages in Older Patients With Cardiovascular‐Kidney‐Metabolic Syndrome

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study explored the association between the composite dietary antioxidant index (CDAI) and cardiovascular‐kidney‐metabolic (CKM) progression in an older population. Using data from NHANES 2001–2020, we analyzed 4974 adults aged ≥ 60 years with CKM syndrome. The CDAI was calculated from the intake of six dietary antioxidants.
Fu‐Shan Qiu, Jian‐Chao Qi, Mei‐Zhu Lin, Jun‐Hua Ke   +3 more
wiley   +1 more source

Understanding the European energy crisis through structural causal models. [PDF]

Nat Commun
Schreyer S, Tausendfreund A, Immig F, Oberhofer U, Trebbien J, Praktiknjo A, Schäfer B, Witthaut D.   +7 more
europepmc   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai, Jo‐Ching Wang, Wei‐Shiuan Chung, Jui‐Sheng Hsu, Shu‐Yen Lin, Ming‐Feng Hou, Ming‐Chung Chou   +6 more
wiley   +1 more source

Spatial modeling of HIV prevalence in Malawi using generalized additive models. [PDF]

Front Epidemiol
Tsala Dimbuene Z, Mabika Mabika C, Bawawana Bavwidinsi B, Juakaly Wayisovia E, Sampasa-Kanyinga H.   +4 more
europepmc   +1 more source