Results 231 to 240 of about 155,814 (304)

Predictive Value of the Soluble fms-Like Tyrosine Kinase-1/Placental Growth Factor Ratio in Preeclampsia and Placenta Accreta Spectrum: A Prospective Observational Study. [PDF]

Cureus
Taneja A, Kaur G, Handa S, Gupta S.
europepmc   +1 more source

Intraoperative Evaluation of Sarcoma Surgical Margins With Indocyanine Green Fluorescence Imaging: Results From an Observational Study

Journal of Surgical Oncology, EarlyView.
ABSTRACT Introduction Sarcomas are rare malignancies that affect both adults and children. Surgical removal with negative histopathological margins is the foundation of sarcoma treatment. Failure to achieve negative margins puts patients at risk of local recurrence (LR). LR rates range between 10% and 30%.
Sumail Bhogal, Matthew Gong, William Li, Brenda Diergaarde, Alma Heyl, Clark Roth, Lawrence Garvin II, Alexander Hoffman, Amanda Locker, Ines Lohse, Maria Silvaggio, Stella Lee, Richard McGough, Kurt Weiss   +13 more
wiley   +1 more source

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

Diagnostic Accuracy of Quantitative Ultrasound Liver Fat Estimation with MRI‐PDFF as the Reference Standard

Journal of Ultrasound in Medicine, EarlyView.
Objectives To assess the performance of 3 ultrasound‐based liver fat quantification algorithms—tissue attenuation imaging (TAI), tissue scatter imaging (TSI; Nakagami parameter), and ultrasound‐derived fat fraction (USFF)—using magnetic resonance imaging‐derived proton density fat fraction (MRI‐PDFF) as the reference standard.
Davide Roccarina, Giovanna Ferraioli, Ronald Hidalgo, Richard G. Barr   +3 more
wiley   +1 more source

MemAF-KTCBM: a Memory-Aware Fractional optimisation-enabled deep learning model for atherosclerosis classification. [PDF]

Front Med Technol
Pravalika N, A J, Rajamani V.
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

Diagnostic Accuracy of Magnetic Resonance Imaging Signs for Detecting Meniscal Root Tears: A Prospective Comparison with Arthroscopic Findings. [PDF]

J Orthop Case Rep
Reddy ASK, Kshirsagar A, Khanda SA, Gautam P, Satapathy D, Dev DMN.   +5 more
europepmc   +1 more source

Triglyceride‐Glucose Index‐Based Nomogram for Predicting Short‐Term Mortality in Sepsis Patients

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT The triglyceride‐glucose (TyG) index, a marker of insulin resistance, is associated with outcomes in critical illness; however, its predictive role for 28‐day mortality in Asian patients with sepsis has not been established. To address this, the current investigation was designed to evaluate its prognostic significance and to construct a risk ...
Jing Zhang, Yu‐Jing Jiang, Ya‐Ting Lv, Tong‐Qin Li, Li Ma   +4 more
wiley   +1 more source

Correction: Development and validation of fat-corrected virtual MR elastography to assess fibrosis stage in metabolic dysfunction-associated steatotic liver disease. [PDF]

Insights Imaging
Yuan J, Xu X, Yan F, Qin Z, Yan H, Yang W, Lin H.   +6 more
europepmc   +1 more source

Artificial intelligence-based ECG as a triage tool for acute myocardial infarction: a diagnostic systematic review and meta-analysis. [PDF]

Eur Heart J Digit Health
Gaelzer GC, Batista PG, Montenegro MV, Dos Santos Silva RRA, Malik M, Tebet MLC, Fischer-Bacca CO, Giorgi J, Marques GL.   +8 more
europepmc   +1 more source