Ștefan Udriștoiu
YOU?
Author Swipe
View article: The Use of Artificial Intelligence (AI) Technologies in Biomedicine
The Use of Artificial Intelligence (AI) Technologies in Biomedicine Open
Technological advancements are accelerating the integration of artificial intelligence (AI) into biomedicine, but also demonstrate the need for solutions to the complex challenges of healthcare [...]
View article: Prospective clinical validation of a novel artificial intelligence system for real-time detection of solid pancreatic masses during endoscopic ultrasonography
Prospective clinical validation of a novel artificial intelligence system for real-time detection of solid pancreatic masses during endoscopic ultrasonography Open
Endoscopic ultrasonography (EUS) is the most sensitive modality for accurately establishing a tissue diagnosis in patients with solid pancreatic masses. However, small lesions can be challenging to detect, particularly for less experienced…
View article: Deep learning segmentation architectures for automatic detection of pancreatic ductal adenocarcinoma in EUS-guided fine-needle biopsy samples based on whole-slide imaging
Deep learning segmentation architectures for automatic detection of pancreatic ductal adenocarcinoma in EUS-guided fine-needle biopsy samples based on whole-slide imaging Open
Background EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is dif…
View article: Design and Technical Feasibility Testing of a Medical Robot for Flexible Catheter Navigation Inside the Lung Airways
Design and Technical Feasibility Testing of a Medical Robot for Flexible Catheter Navigation Inside the Lung Airways Open
The integration of medical robots is revolutionizing clinical medicine, especially in procedures requiring precision in instrument manipulation and navigation within the body using medical imaging techniques like fluoroscopy, CT, and MRI. …
View article: Artificial Intelligence (AI)-Enhanced Ultrasound Techniques Used in Non-Alcoholic Fatty Liver Disease: Are They Ready for Prime Time?
Artificial Intelligence (AI)-Enhanced Ultrasound Techniques Used in Non-Alcoholic Fatty Liver Disease: Are They Ready for Prime Time? Open
Non-alcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease, affecting approximately 2 billion individuals worldwide with a spectrum that can range from simple steatosis to cirrhosis. Typically, the diagn…
View article: Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images
Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images Open
At present, deep learning becomes an important tool in medical image analysis, with good performance in diagnosing, pattern detection, and segmentation. Ultrasound imaging offers an easy and rapid method to detect and diagnose thyroid diso…
View article: Navigation Testing Procedures for the ENDORO Robotic System
Navigation Testing Procedures for the ENDORO Robotic System Open
Lung cancer is the leading cause of death among different type of cancers worldwide.To decrease the recorded mortality rates, earlier diagnosis and timely treatment are essential.The two-degrees-of-freedom robotic and image guided navigati…
View article: Feasibility of a lung airway navigation system using fiber-Bragg shape sensing and artificial intelligence for early diagnosis of lung cancer
Feasibility of a lung airway navigation system using fiber-Bragg shape sensing and artificial intelligence for early diagnosis of lung cancer Open
Currently early diagnosis of malignant lesions at the periphery of lung parenchyma requires guidance of the biopsy needle catheter from the bronchoscope into the smaller peripheral airways via harmful X-ray radiation. Previously, we develo…
View article: A Rare Case of Endophthalmitis with Rhizobium radiobacter, Soon after a Resolved Keratitis: Case Report
A Rare Case of Endophthalmitis with Rhizobium radiobacter, Soon after a Resolved Keratitis: Case Report Open
Background: Rhizobium (Agrobacterium) species are plant aerobic bacteria, which in some cases can produce endophthalmitis in humans after corneal trauma. Case presentation: A 42-year-old female patient presented in the Emergency Department…
View article: Finite Element Analysis of a Novel Aortic Valve Stent.
Finite Element Analysis of a Novel Aortic Valve Stent. Open
Worldwide, one of the leading causes of death for patients with cardiovascular disease is aortic valve failure or insufficiency as a result of calcification and cardiovascular disease. The surgical treatment consists of repair or total rep…
View article: TEM,CTX-M,SHV Genes in ESBL-Producing Escherichia coli and Klebsiella pneumoniae Isolated from Clinical Samples in a County Clinical Emergency Hospital Romania-Predominance of CTX-M-15
TEM,CTX-M,SHV Genes in ESBL-Producing Escherichia coli and Klebsiella pneumoniae Isolated from Clinical Samples in a County Clinical Emergency Hospital Romania-Predominance of CTX-M-15 Open
Background: CTX-M betalactamases have shown a rapid spread in the recent years among Enterobacteriaceae and have become the most prevalent Extended Spectrum Beta-Lactamases (ESBLs) in many parts of the world. The introduction and dissemina…
View article: COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis
COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis Open
(1) Background: The new SARS-COV-2 pandemic overwhelmed intensive care units, clinicians, and radiologists, so the development of methods to forecast the diagnosis’ severity became a necessity and a helpful tool. (2) Methods: In this paper…
View article: The Study of Clinical and Biochemical Parameters in Assessing the Response to the Antiviral Therapy in the Chronic Viral Hepatitis B
The Study of Clinical and Biochemical Parameters in Assessing the Response to the Antiviral Therapy in the Chronic Viral Hepatitis B Open
Background and Objectives: Hepatitis B virus infection remains a major public health concern. The interaction between hepatitis B virus (HBV) hepatitis B virus and the host inflammatory response is an important contributing factor driving …
View article: Prevalence and Antimicrobial Resistance of Klebsiella Strains Isolated from a County Hospital in Romania
Prevalence and Antimicrobial Resistance of Klebsiella Strains Isolated from a County Hospital in Romania Open
The study evaluated the evolution of the incidence of infections with Klebsiella in the County Clinical Emergency Hospital of Craiova (SCJUC), Romania. Also, we monitored antibiotic resistance over more than two years and detected changes …
View article: Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model
Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model Open
Differential diagnosis of focal pancreatic masses is based on endoscopic ultrasound (EUS) guided fine needle aspiration biopsy (EUS-FNA/FNB). Several imaging techniques (i.e. gray-scale, color Doppler, contrast-enhancement and elastography…
View article: Predictors of early and sustained virological response of viral hepatitis C
Predictors of early and sustained virological response of viral hepatitis C Open
Due to complex interplay between host and viral factors, pathogenesis of chronic hepatitis C (CHC) is considered a challenging issue. Infection with hepatitis C virus (HCV) is not confined only to liver but can induce disturbances in many …
View article: Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods
Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods Open
Background and Objectives: At present, thyroid disorders have a great incidence in the worldwide population, so the development of alternative methods for improving the diagnosis process is necessary. Materials and Methods: For this purpos…
View article: Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images.
Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images. Open
At present, deep learning becomes an important tool in medical image analysis, with good performance in diagnosing, pattern detection, and segmentation. Ultrasound imaging offers an easy and rapid method to detect and diagnose thyroid diso…
View article: A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE
A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE Open
View article: Deep Learning Algorithm for the Confirmation of Mucosal Healing in Crohn’s Disease, Based on Confocal Laser Endomicroscopy Images
Deep Learning Algorithm for the Confirmation of Mucosal Healing in Crohn’s Disease, Based on Confocal Laser Endomicroscopy Images Open
Background and Aims: Mucosal healing (MH) is associated with a stable course of Crohn’s disease (CD) which can be assessed by confocal laser endomicroscopy (CLE). To minimize the operator’s errors and automate assessment of CLE images, we …
View article: A Cross-Sectional Study to Assess Thyroid Function in Infants and Children in a City from South-Western Romania.
A Cross-Sectional Study to Assess Thyroid Function in Infants and Children in a City from South-Western Romania. Open
Thyroid hormones are critical regulators of growth, myelination of the nervous system, metabolism, and organ function. The most prevalent endocrinopathies in childhood are related to thyroid disorders. Thyroid problems in children and adol…
View article: Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images
Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images Open
Aim: In this paper we proposed different architectures of convolutional neural network (CNN) to classify fatty liver disease in images using only pixels and diagnosis labels as input. We trained and validated our models using a dataset of …
View article: Skin Diseases Classification Using Deep Leaning Methods.
Skin Diseases Classification Using Deep Leaning Methods. Open
Due to the high incidence of skin tumors, the development of computer aided-diagnosis methods will become a very powerful diagnosis tool for dermatologists. The skin diseases are initially diagnosed visually, through clinical screening and…
View article: Grade prediction improved by regular and maximal association rules
Grade prediction improved by regular and maximal association rules Open
In this paper we propose a method of predicting student scholar performance using the power of regular and maximal association rules. Due to the large number of generated rules, traditional data mining algorithms can become difficult and i…