Objective: Navigation through tortuous and deformable vessels using catheters with limited steering capability underscores the need for reliable path planning. State-of-the-art path planners do not fully account for the deformable nature of the environment.
Methods: This work proposes a robust path planner via a learning from demonstrations method, named Curriculum Generative Adversarial Imitation Learning (C-GAIL).
An autonomous robotic laparoscopic surgical technique is capable of tracking tissue motion and offers consistency in suturing for the anastomosis of the small bowel.
View Article and Find Full Text PDFObjective: This paper presentsa safe and effective keyhole neurosurgery intra-operative planning framework for flexible neurosurgical robots. The framework is intended to support neurosurgeons during the intra-operative procedure to react to a dynamic environment.
Methods: The proposed system integrates inverse reinforcement learning path planning algorithm combined with 1) a pre-operative path planning framework for fast and intuitive user interaction, 2) a realistic, time-bounded simulator based on Position-based Dynamics (PBD) simulation that mocks brain deformations due to catheter insertion and 3) a simulated robotic system.
Aim: To evaluate several factors that might interfere with the use of electronic root canal length measurement devices (ERCLMDs) in a laboratory setting, including two different embedding media (alginate and electroconductive gel), three different types of devices and the radiographic view on the assessment of the electronic readings.
Methodology: Thirty single-rooted extracted human mandibular premolars were selected. After access and canal pre-flaring, a size 10 K-file was inserted in the canal up to the major apical foramen under magnification (×10), and this length was recorded as the actual length (AL) of the canal.
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for analyzing complex medical data and extracting meaningful relationships in datasets, for several clinical aims. Specifically, in the brain care domain, several innovative approaches have achieved remarkable results and open new perspectives in terms of diagnosis, planning, and outcome prediction. In this work, we present an overview of different artificial intelligent techniques used in the brain care domain, along with a review of important clinical applications.
View Article and Find Full Text PDFDeep Brain Stimulation (DBS) is a neurosurgical procedure consisting in the stereotactic implantation of stimulation electrodes to specific brain targets, such as deep gray matter nuclei. Current solutions to place the electrodes rely on rectilinear stereotactic trajectories (RTs) manually defined by surgeons, based on pre-operative images. An automatic path planner that accurately targets subthalamic nuclei (STN) and safeguards critical surrounding structures is still lacking.
View Article and Find Full Text PDFIntroduction: This study investigates the accuracy of 3D Endo software (Dentsply Sirona, Salzburg, Austria) to determine the working length when using preoperative cone-beam computed tomographic (CBCT) scans of extracted teeth, compared with conventional CBCT software and an electronic apex locator (EAL).
Methods: CBCT scans of 30 premolars were obtained. Using OnDemand3D software (Cybermed, Seoul, Korea), the measurement obtained from the coronal reference to the apical foramen (AF) was recorded as the conventional CBCT length.
A central giant cell granuloma (CGCG) is typically regarded as a benign lesion with osteoclastic activity. Treatment often involves surgical procedures that may cause deformities; however, minimally invasive approaches have been suggested for treating pediatric patients. We report a case of CGCG of the mandible in a 13-year-old boy who presented with a well-defined radiolucent area in the anterior mandible that was initially detected in a radiographic examination for orthodontic purposes.
View Article and Find Full Text PDFWe report results of extensive experimental and numerical studies of the anisotropy of water drops deposited on single rectangular posts of mesoscopic size sculpted on different materials. Drops of different volume deposited on the top face of the posts assume an elongated shape along the post direction. Systematic investigations show that while the angle measured along the direction parallel to the post does not change, the one measured across them increases monotonically with the drop volume.
View Article and Find Full Text PDFAllergol Immunopathol (Madr)
February 2009
Background: Atopic dermatitis (AD) is a chronic inflammatory pruritic skin heterogeneous disease, which does not have an objective tool able to permit comparison between patients and to monitor changes due to a specific treatment. Several assessment methods have been developed to evaluate the AD.
Objectives: The aim of this study was to investigate the agreement between two observers in the assessment of the severity of AD applying SCORAD index and EASI in infants and young children with AD.
Diabetic foot is considered one of the most threatening and disabling complications for a diabetic patient: lesions of the extremities can become so severe that the person may risk the amputation of the toe, foot or leg. Methodology of planning and implementation of an educational intervention for the prevention of the diabetic foot is presented in its various steps: from the identification of priorities and contents to the problems and difficulties encountered in the implementation of the program.
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