Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Ethical Design and Use of Robotic Care of the Elderly.

The Australian Royal Commission into Aged Care Quality and Safety acknowledged understaffing and sub...

Artificial intelligence applied to fetal MRI: A scoping review of current research.

Artificial intelligence (AI) is defined as the development of computer systems to perform tasks norm...

Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network.

OBJECTIVES: Design and validate a novel handheld device for the autonomous diagnosis of pediatric va...

Smart process development: Application of machine-learning and integrated process modeling for inclusion body purification processes.

The development of a biopharmaceutical production process usually occurs sequentially, and tedious o...

Environmentally sustainable development and use of artificial intelligence in health care.

Artificial intelligence (AI) can transform health care by delivering medical services to underserved...

Single-molecule fluorescence imaging and deep learning reveal highly heterogeneous aggregation of amyloid-β 42.

Polymorphism in the structure of amyloid fibrils suggests the existence of many different assembly p...

A Study on the Relationship Between Adolescent Health Behavior, BMI, and Blood Physical and Chemical Properties.

In this study, the blood test index, demographic data, and health promotion behavior of adolescents ...

Study on multiplanar measurements of infant hips with three-dimensional ultrasonography.

PURPOSE: An automatic evaluation technology based on artificial intelligence and three-dimensional u...

Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network.

PURPOSE: Image guidance is used to improve the accuracy of radiation therapy delivery but results in...

Artificial intelligence in perinatal diagnosis and management of congenital heart disease.

Prenatal diagnosis and management of congenital heart disease (CHD) has progressed substantially in ...

Short-Text Classification Detector: A Bert-Based Mental Approach.

With the continuous development of the Internet, social media based on short text has become popular...

Deep Learning for Predictive Analysis of Pediatric Otolaryngology Personal Statements: A Pilot Study.

OBJECTIVE: The personal statement is often an underutilized aspect of pediatric otolaryngology fello...

A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs.

BACKGROUND: Developmental dysplasia of the hip (DDH) is a common orthopedic disease in children. In ...

A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels.

In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, cal...

A Prediction Model of Health Development Based on Linear Sequential Extreme Learning Machine Algorithm Matrix.

The rapid development of social economy not only increases people's living pressure but also reduces...

Application of High Throughput Technologies in the Development of Acute Myeloid Leukemia Therapy: Challenges and Progress.

Acute myeloid leukemia (AML) is a complex hematological malignancy characterized by extensive hetero...

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