Results 181 to 190 of about 115,634 (274)

Robot‐assisted resection of diaphragmatic and hepatorenal recess peritoneal endometriosis: Two cases and a narrative review

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract In this report, we describe two cases of diaphragmatic endometriosis with concurrent hepatorenal recess peritoneal involvement managed using robotic‐assisted laparoscopic surgery with the da Vinci Xi platform. In both patients, diaphragmatic implants and hepatorenal recess peritoneal lesions were excised en bloc, followed by resection of ...
Xiaoming Guan, Qiannan Yang, Daniel Y. Lovell, Chunhua Zhang   +3 more
wiley   +1 more source

The Determinacy Problem in Quantum Mechanics. [PDF]

Found Phys
Mariani C.
europepmc   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

A decision making algorithm for economic growth in the digital economy using CRITIC WASPAS based circular picture fuzzy information. [PDF]

Sci Rep
Gao J, Lin Z, Liu Q.
europepmc   +1 more source

Validation of Hexaplex Recombinase Polymerase Amplification Assay for the Detection of Carbapenemase Genes in Klebsiella pneumoniae Isolates From Pediatric Inpatients

Journal of Clinical Laboratory Analysis, EarlyView.
A novel hexaplex recombinase polymerase amplification (RPA) method was developed to rapidly and accurately detect five key carbapenemase genes and a Klebsiella pneumoniae‐specific target in a single reaction. This makes it an effective tool for CRKP detection in resource‐constrained environments.
Suthawan Mutitanon, Nuntaree Chaichanawongsaroj   +1 more
wiley   +1 more source

A study on neutrosophic [Formula: see text]-semantic segmentation for iris image recognition with Gaussian and Poisson noises. [PDF]

Sci Rep
Dhatchinamoorthy V, Devarasan E, Razzaque A, Noor S.   +3 more
europepmc   +1 more source

Application of Multimodal Ultrasound Combined With BI‐RADS in Classification and Diagnosis of Non‐Mass Breast Lesions

Journal of Clinical Ultrasound, EarlyView.
This study demonstrates that integrating microvascular flow imaging, shear wave elastography, and contrast‐enhanced ultrasound with the BI‐RADS classification significantly improves the diagnostic accuracy for non‐mass breast lesions, offering a more reliable tool for differentiating benign from malignant findings.
Zengdi Yang, Yongyan Lyu, Yanting Yang, Cuiping Xu, Keke Zhang, Xuxu Yang, Feng Chen, Lanlan Cheng, Minglei Ren   +8 more
wiley   +1 more source

Comparative diagnostic accuracy study of point of care ultrasound techniques for detection of left atrial enlargement by hospital medicine physicians from archived echocardiogram images

Journal of Hospital Medicine, EarlyView.
Abstract Background Left atrial enlargement (LAE) is predictive of cardiovascular morbidity and mortality. Prior studies of point‐of‐care ultrasound (POCUS) interpretation methods for identifying LAE utilized older echocardiographic reference ranges. Objectives Compare the test characteristics of hospitalist‐performed POCUS techniques for identifying ...
Christopher J. Smith, Jesse Umbra, Sofia Quintero, Austin Wilson, Elizabeth Lyden, Nidish Tiwari, Brian Shahan, Jana Wardian   +7 more
wiley   +1 more source

Human Life as <i>Terra Nullius</i>: Socially Blind Engineering in Facebook's Foundational Technologies. [PDF]

Philos Technol
Magalhães JC, Couldry N.
europepmc   +1 more source

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

Journal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu, Siyi Li, Zhiping Long, Yanjie Jia, Yue Yu, Bing Pei, Heli Yuan, Yuhua Hao, Zhiyun Jiang, Lei Cao, Kezheng Wang, Fan Wang   +11 more
wiley   +1 more source