AIMC Topic: Child

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Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist.

Pediatric neurology
Artificial intelligence (AI) and a popular branch of AI known as machine learning (ML) are increasingly being utilized in medicine and to inform medical research. This review provides an overview of AI and ML (AI/ML), including definitions of common ...

Finding the sweet spot: a qualitative study exploring patients' acceptability of chatbots in genetic service delivery.

Human genetics
Chatbots, web-based artificial intelligence tools that simulate human conversation, are increasingly in use to support many areas of genomic medicine. However, patient preferences towards using chatbots across the range of clinical settings are unkno...

Degree of Accuracy With Which Deep Learning for Ultrasound Images Identifies Osteochondritis Dissecans of the Humeral Capitellum.

The American journal of sports medicine
BACKGROUND: Medical screening using ultrasonography (US) has been performed on young baseball players for early detection of osteochondritis dissecans (OCD) of the humeral capitellum. Deep learning (DL) and artificial intelligence (AI) techniques are...

Deep learning of renal scans in children with antenatal hydronephrosis.

Journal of pediatric urology
INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prenatal ultrasound, found in up to 4.5% of all pregnancies. Children with ANH are surveilled with repeated renal ultrasound and when there is high suspici...

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology.

Scientific reports
How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve the patient experience are problems faced by all hospitals. At present, the combination of artificial intelligence and the medical field is mainly in...

Robotic resection of paediatric solid tumours at a single institution.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: To explore the clinical application of robotic-assisted surgery in paediatric solid tumours and to explore its feasibility.

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing.

Computers in biology and medicine
Pre-processing is widely applied in medical image analysis to remove the interference information. However, the existing pre-processing solutions mainly encounter two problems: (i) it is heavily relied on the assistance of clinical experts, making it...

An accurate deep learning model for wheezing in children using real world data.

Scientific reports
Auscultation is an important diagnostic method for lung diseases. However, it is a subjective modality and requires a high degree of expertise. To overcome this constraint, artificial intelligence models are being developed. However, these models req...