Results 191 to 200 of about 94,451 (266)

Point‐of‐Care Ultrasound for the Diagnosis of Hip Effusion in Children Presenting to the Emergency Department With Atraumatic Limp or Hip Pain: A Scoping Review

Journal of Ultrasound in Medicine, EarlyView.
This study reviews the evidence for point‐of‐care ultrasound (POCUS) for the detection of hip effusion in children presenting to the emergency department with atraumatic limp or hip pain. A scoping review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses Extension for Scoping Review (PRISMA‐ScR) guideline ...
Nigel Chan, David J. McCreary, Adriana Nedyalkova, Peter J. Snelling   +3 more
wiley   +1 more source

Early Rule Out of Myocardial Infarction With a Novel High-Sensitivity Cardiac Troponin T Assay.

JAMA Cardiol
Thurston AJF, Tew YY, Lopez-Ayala P, Koechlin L, O'Brien R, Lynch S, Cooper JG, Fujisawa T, Bima P, McDermott M, Tuck C, Mizerska M, Highton-Williamson E, McCurrach F, Lowry MTH, Doudesis D, Anand A, Lee KK, Ferry AV, Chapman A, Newby DE, Boeddinghaus J, Mueller C, Gray AJ, Mills NL, POC-ET and APACE Investigators.   +25 more
europepmc   +1 more source

Polyphosphoester-Based Nanocarriers for Combined X-Ray-Induced Photodynamic Therapy and Immunotherapy. [PDF]

Pharmaceutics
Zhang H, Hu W, Reheman B, Zhang N, Wang J, Zhang Z, Sun C.   +6 more
europepmc   +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

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

Detection of bladder cancer in patients with microscopic hematuria using Oncuria-Detect: results of a prospective, multicenter international study. [PDF]

J Transl Med
Lotan Y, Anai S, Kim H, Gin G, Akhavein A, Miyake M, Luu M, Ahdoot M, Messing E, Peers G, Chen A, Moradzadeh A, Chin AI, Liu M, Tanaka S, Tikhonekov S, Pagano I, Zheng Y, Zhang Z, Furuya H, Rosser CJ.   +20 more
europepmc   +1 more source

Performance and Cost-Efficiency of an MPT64 Assay for Detecting <i>Mycobacterium tuberculosis</i> Complex in a Setting With Frequent Nontuberculous Mycobacteria Isolation. [PDF]

J Korean Med Sci
Yu HJ, Kim JA, Song HM, Lee KA, Kim H, Yoo IY, Kim TY, Huh HJ.   +7 more
europepmc   +1 more source

Validation of 2 Syncope Risk Scores and Comparison With Physician Risk Estimation. [PDF]

JAMA Netw Open
Suh EH, Winskill C, Sacco DL, DeAngelis J, Nishijima DK, Schimmel J, Storrow AB, Wood NE, Thiruganasambandamoorthy V, Baugh CW, Weiss RE, Probst MA.   +11 more
europepmc   +1 more source

Uncertainty propagation in financial models of photovoltaic systems. [PDF]

Sci Rep
Wieland S, Gürsal U.
europepmc   +1 more source