AIMC Topic: Infant

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The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models.

PloS one
PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed onset of jaundice. In the current practice, percutaneous liver biopsy and intraoperative cholangiography (IOC) remain the golden standards for diagno...

Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment.

Medical image analysis
General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper that end-to-end trainable neural networks for image sequence recognition can...

Deep Learning and 5G and Beyond for Child Drowning Prevention in Swimming Pools.

Sensors (Basel, Switzerland)
Drowning is a major health issue worldwide. The World Health Organization's global report on drowning states that the highest rates of drowning deaths occur among children aged 1-4 years, followed by children aged 5-9 years. Young children can drown ...

Laparoscopic versus robot-assisted pyeloplasty in infants and young children.

Asian journal of surgery
OBJECTIVE: To compare the characteristics of conventional laparoscopic pyeloplasty (LP) and robotic-assisted laparoscopic pyeloplasty (RALP) in infants and young children with ureteropelvic junction obstruction (UPJO).

Generalizability and Bias in a Deep Learning Pediatric Bone Age Prediction Model Using Hand Radiographs.

Radiology
Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generalizability and bias in other use cases. Purpose To quantify generalizability and bias in a bone age DL ...

The three horizons model applied to medical science.

Postgraduate medicine
The three horizons model is a framework that helps manage an organization's innovation strategy. This model considers three aspects (horizons) that should be present in the institution and guide the development of new systems. Applied to medical scie...

Deep Relation Learning for Regression and Its Application to Brain Age Estimation.

IEEE transactions on medical imaging
Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose deep relation learning for regression, aiming to learn diffe...

Single-port robot-assisted laparoscopic pyeloplasty in an infant: A video case report with 9 months follow up.

Journal of pediatric urology
INTRODUCTION: Single-port robot-assisted laparoscopic surgery is a breakthrough in the field of minimally invasive surgery. However, it is currently only applicable to older children due to the limitation of operating space. Here, we report a case of...

Using Healthcare Resources Wisely: A Predictive Support System Regarding the Severity of Patient Falls.

Journal of healthcare engineering
BACKGROUND: An injurious fall is one of the main indicators of care quality in healthcare facilities. Despite several fall screen tools being widely used to evaluate a patient's fall risk, they are frequently unable to reveal the severity level of pa...