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Tooth surface with early caries lesion can remineralize into sound tooth surface with early intervention. However, early caries lesion is difficult to detect and frequently goes unnoticed during clinical or radiographic ...

ABSTRACT Background The FreeStyle Libre 3 (FSL3) has several improvements compared to previous FreeStyle Libre systems, but its accuracy has not yet been determined in cats. In diabetic people, FSL3 offers increased accu...

The use of unmanned aircraft systems to collect data for photogrammetry models has grown significantly in recent years. The accuracy of a photogrammetric model can depend on image georeferencing. The distance from a refe...

Background Blood pressure is relevant to the diagnosis and management of many medical, cardiovascular and critical diseases. The accuracy of many commonly used noninvasive blood pressure (NIBP) monitors and the accuracy ...

Abstract Objective To evaluate the accuracy of transvaginal ultrasonography, hysteroscopy and uterine curettage in the diagnosis of endometrial polyp, submucous myoma and endometrial hyperplasia, using as gold standard...

Abstract Objective To evaluate the accuracy of transvaginal ultrasound in the diagnosis of intrauterine lesions, using hysteroscopy as the gold standard. Methods This was a prospective observational study with 307 pa...

Abstract Background The FreeStyle Libre (Abbott Laboratories) is a flash glucose monitoring system (FGMS) that measures interstitial glucose concentration (IG). The system is factory‐calibrated, easy to use, inexpensiv...

Abstract Background A factory‐calibrated flash glucose monitoring system (FGMS; FreeStyle Libre) recently was evaluated in dogs with uncomplicated diabetes mellitus. It is not known if this system is reliable during di...

Abstract Background Brain biopsy of intracranial lesions is often necessary to determine specific therapy. The cost of the currently used stereotactic rigid frame and optical tracking systems for brain biopsy in dogs is ...

The accuracy of two different methods in measuring the ammonia nitrogen (N-NH3) concentration in rumen fluid were evaluated: a catalyzed indophenol colorimetric reaction (CICR) and the Kjeldahl distillation (KD). Five bu...

Introduction and Aims: This study evaluated the effect of implant angulation on the accuracy of digital impressions for 3-unit implant-supported fixed partial dentures obtained with 2 intraoral scanners. Methods: Three p...

Using a quantitative approach, this study examines the confidence accuracy relationship of eyewitness memory and observation skills and explores the relationship between self-perception and accuracy (The Dunning Kruger E...

IntroductionUnderstanding how children recognize facial emotions is essential for explaining the development of social communication. During the COVID-19 pandemic, widespread mask-wearing partially occluded facial expres...

The research focuses on the analysis of the accuracy of attitude determination using satellite measurements from a multi-antenna Global Navigation Satellite System (GNSS). Carrier phase satellite measurements are charact...

ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computatio...

Abstract In the power operation scenarios, there are problems such as large differences in target scales, small targets susceptible to occlusion, and limited computational resources for edge devices. This leads to insuff...

Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies h...

Background: Unanticipated difficult airways are an important cause of perioperative morbidity. No single bedside airway assessment test reliably predicts difficult intubation; therefore, combining simple predictors may i...

Background: The development of accurate artificial intelligence (AI) models for liver cancer diagnosis using contrast-enhanced computed tomography (CT) is often hindered by patient privacy regulations and considerable da...

Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...

AI has been able to intelligently mimic human behavior and has been applied in various contexts, including healthcare for more efficient patient care. One of the prominent trends in AI is advanced language models such as...

OBJECTIVE: An accurate sphygmomanometer should be used in the diagnosis and follow up of hypertension. The aims of this study were to evaluate accuracy of hospital blood pressure measuring devices and to inform health ca...

PurposeThis study aims to systematically evaluate the mechanical performance of the novel treatment couch for the uLinac VisionaryTx CT-Linac (United Imaging Healthcare, China).Materials and methodsQuality assurance prot...

Abstract Achieving accurate speed prediction provides the most critical support parameter for high-level energy management of plug-in hybrid electric vehicles. Nowadays, people often drive a vehicle on fixed routes in th...