Results 131 to 140 of about 49,496 (211)

Establishing a transdiagnostic dimension of early childhood depressive symptoms using the Preschool Feelings Checklist‐Scale

JCPP Advances, EarlyView.
Abstract Background Young child depressive symptoms are associated with various concurrent and future psychiatric problems, indicating early transdiagnostic risk for psychopathology. We now need studies that identify and test the robustness, reliability, and validity of early emerging depressive symptom dimensions, examining them relative to wide ...
Nicolas L. Camacho, Kirsten E. Gilbert, Rebecca Tillman, Joan L. Luby, Michael S. Gaffrey   +4 more
wiley   +1 more source

A Scoring System Contributing to the Detection of Radiation Pneumonitis in Elderly Patients with Lung Cancer-Results of the POLCAR Trial. [PDF]

Cancers (Basel)
Rades D, Zwaan I, Groh EM, Delikanli C, Schepers-von Ohlen D, Doehring L, Bohnet S, Kristiansen C, Falk Grauslund H, Schulz CF, Janssen S.   +10 more
europepmc   +1 more source

Developing an integrated algorithm to support autism diagnostic decisions: Model performance and statistical fairness

JCPP Advances, EarlyView.
Abstract Background Best practices in diagnosing autism spectrum disorder require an expert diagnostician to integrate multiple sources of information, including direct observations, interviews, and rating scales completed by knowledgeable informants.
Aaron J. Kaat, Ashlynn Campagna, Hannah Feiner, Jeffrey Michael Grauzer, Amanda Nicole Hobson, Maranda Jones, Jordan Paige Lee, Laura Jean Sudec, Megan York Roberts   +8 more
wiley   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Predictive factors for risk of chronic evolution in Vogt-Koyanagi-Harada disease at 1 month after pulse steroid therapy. [PDF]

PLoS One
Muto T, Kusuda S, Sakamoto M, Machida S, Imaizumi S, Sekiryu T.   +5 more
europepmc   +1 more source

Investigating Associations Between Signal Intensity of Silent MR Angiography and Hemodynamic Information From 4D Flow MRI in Brain Arteriovenous Malformation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Whether signal intensity (SI) on Silent MRA reflects hemodynamics in brain arteriovenous malformations (BAVMs) is unclear. Objectives To evaluate the relationship between Silent MRA SI and 4D flow‐derived hemodynamic parameters and examine whether Silent MRA‐based metrics are associated with symptomatic hemorrhage in BAVM.
Linshu Yang, Xiaosheng Meng, Haining Wei, Xiaoqian Li, Yang Yu, Qin Qin, Dan Zhu, Tao Hong, Hongqi Zhang, Rui Li, Jiaxing Yu, Chunxue Wu, Jie Lu   +12 more
wiley   +1 more source

Comparison of Continuous‐Time Random Walk and Fractional Order Calculus Diffusion Models for Preoperative Breast Lesion Characterization: Diagnosis, Biomarker Prediction and Molecular Subtyping

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Accurate preoperative characterization of breast lesions is important for individualized management. The conventional monoexponential (Mono) model has limited ability to capture the complex microstructure of lesions. Non‐Gaussian diffusion models, including continuous‐time random walk (CTRW) and fractional‐order calculus (FROC), may
Yimeng Cao, Shaomin Li, Zhexuan Yang, Xueyan Liu, Shifang Tan, Tian Ren, Wenjia Wang, Haiyang Li, Xingzhi Chen, Xin Zhao, Meiying Cheng   +10 more
wiley   +1 more source

Triglyceride-Glucose-Waist Circumference Index as a Surrogate Marker for Visceral Obesity: Analysis of NHANES 2011-2018. [PDF]

Obes Sci Pract
Fu P, Li Y, Zhang K.
europepmc   +1 more source

Risk Stratification of Prostate Imaging Reporting and Data System (PI‐RADS 3) Lesions in the Peripheral and Transition Zones Using Clinical and Quantitative MRI Markers

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Prostate Imaging Reporting and Data System (PI‐RADS) 3 lesions often undergo biopsy despite a low positive predictive value (< 25%) for clinically significant prostate cancer (csPCa), defined as International Society of Urological Pathology (ISUP) Grade Group ≥ 2.
Tejinder Kaur, Reve Chahine, Nicole Seiberlich, Hero Hussain, Shane Wells, Vikas Gulani, Yun Jiang   +6 more
wiley   +1 more source

Flagging urgent suspicion of lung cancer with AI CXR algorithms: optimising feature selection and performance. [PDF]

Insights Imaging
Duncan SF, Dudman K, Odigbo S, Perdomo Lampignano J, Kumar S, Hawkins N, McConnachie A, Maclay JD, Stobo DB, Hall M, Lowe DJ.   +10 more
europepmc   +1 more source