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Infant

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Application of robot-assisted endoscopic technique in the treatment of patent ductus arteriosus in 106 children.

Journal of robotic surgery
The objective is to evaluate and apply the robot-assisted endoscopic surgical technique for treatment of patent ductus arteriosus (PDA) in children. Clinical data of 106 children with PDA who underwent robot-assisted endoscopic operation were retrosp...

Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs.

Sensors (Basel, Switzerland)
Fetal brain tissue segmentation is essential for quantifying the presence of congenital disorders in the developing fetus. Manual segmentation of fetal brain tissue is cumbersome and time-consuming, so using an automatic segmentation method can great...

Early experience with low-pass filtered images facilitates visual category learning in a neural network model.

PloS one
Humans are born with very low contrast sensitivity, meaning that inputs to the infant visual system are both blurry and low contrast. Is this solely a byproduct of maturational processes or is there a functional advantage for beginning life with poor...

Comparison of Robot-Assisted Percutaneous Cannulated Screws Versus Open Reduction and Internal Fixation in Calcaneal Fractures.

Orthopaedic surgery
OBJECTIVE: Accurate placement of the screws is challenging in percutaneous cannulated screw fixation of calcaneal fractures, and robot-assisted (RA) surgery enhances the accuracy. We investigated the outcome of percutaneous cannulated screw fixation ...

A Deep-Learning-Based Collaborative Edge-Cloud Telemedicine System for Retinopathy of Prematurity.

Sensors (Basel, Switzerland)
Retinopathy of prematurity is an ophthalmic disease with a very high blindness rate. With its increasing incidence year by year, its timely diagnosis and treatment are of great significance. Due to the lack of timely and effective fundus screening fo...

On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature.

BMC medical informatics and decision making
BACKGROUND: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of the fetus or neonate. Predic...

Review of robot-assisted laparoscopic surgery in management of infant congenital urology: Advances and limitations in utilization and learning.

International journal of urology : official journal of the Japanese Urological Association
As robotic-assisted (RAL) surgery expanded to treat pediatric congenital disease, infant anatomy and physiology posed unique challenges that prompted adaptations to the technology and surgical technique, which are compiled and reviewed in this manusc...

Emergent color categorization in a neural network trained for object recognition.

eLife
Color is a prime example of categorical perception, yet it is unclear why and how color categories emerge. On the one hand, prelinguistic infants and several animals treat color categorically. On the other hand, recent modeling endeavors have success...

TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.

Medical & biological engineering & computing
Early diagnosis of neurodevelopmental impairments in preterm infants is currently based on the visual analysis of newborns' motion patterns by trained operators. To help automatize this time-consuming and qualitative procedure, we propose a sustainab...

Robot-assisted laparoscopic repair of cesarean scar defect: a systematic review of clinical evidence.

Journal of robotic surgery
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conducted. All databases were assessed up to May 23, 2022. Studies reporting data on robot-assisted repair...