Pediatrics

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

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An Argument for an Ecosystemic AI: Articulating Connections across Prehuman and Posthuman Intelligences.

As an art collective Cesar & Lois develops projects that examine sociotechnical systems, attempting ...

Nov 2020 34723110
The role of artificial intelligence in cosmetic dermatology-Current, upcoming, and future trends.

Within the field of cosmetic dermatology, several promising developments utilize artificial intellig...

Nov 2020 33151612
Metamorphosis in Insect Muscle: Insights for Engineering Muscle-Based Actuators.

One of the major limitations to advancing the development of soft robots is the absence of lightweig...

Nov 2020 33012237
The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.

Personalized medicine is among the most exciting innovations in recent clinical research, offering t...

Nov 2020 33157093
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

OBJECTIVE: In this paper, we propose to evaluate the use of pre-trained convolutional neural network...

Nov 2020 33148327
Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine.

IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adole...

Nov 2020 33185676
Assessment of Facial Morphologic Features in Patients With Congenital Adrenal Hyperplasia Using Deep Learning.

IMPORTANCE: Congenital adrenal hyperplasia (CAH) is the most common primary adrenal insufficiency in...

Nov 2020 33206189
Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital.

BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is r...

Nov 2020 33247677
Pediatric Adenoidectomy: A Comparative Study Between Cold Curettage and Coblation Technique.

The objective of the study was to assess endoscopic coblation adenoidectomy and conventional cold cu...

Oct 2020 36452765
Trends in robotic surgery utilization across tertiary children's hospitals in the United States.

BACKGROUND: A growing number of tertiary children's hospitals are utilizing robotic surgical technol...

Oct 2020 33112985
Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic.

The COVID-19 pandemic has created unique challenges for the U.S. healthcare system due to the stagge...

Oct 2020 33129176
Fast body part segmentation and tracking of neonatal video data using deep learning.

Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal in...

Oct 2020 33094430
Prediction of obstetrical and fetal complications using automated electronic health record data.

An increasing number of delivering women experience major morbidity and mortality. Limited work has ...

Oct 2020 33098815
The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review.

BACKGROUND: The high demand for health care services and the growing capability of artificial intell...

Oct 2020 33090118
Writhing Movement Detection in Newborns on the Second and Third Day of Life Using Pose-Based Feature Machine Learning Classification.

Observation of neuromotor development at an early stage of an infant's life allows for early diagnos...

Oct 2020 33105787
Towards Automated Emotion Classification of Atypically and Typically Developing Infants.

The World Health Organization estimates that 15 million infants are born preterm every year [1]. Thi...

Oct 2020 33959406
Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.

Deep learning (DL) is a widely applied mathematical modeling technique. Classically, DL models utili...

Oct 2020 33037266
Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique.

OBJECTIVES: To evaluate the image quality of low iodine concentration, dual-energy CT (DECT) combine...

Oct 2020 33030573
Automatic segmentation, classification, and follow-up of optic pathway gliomas using deep learning and fuzzy c-means clustering based on MRI.

PURPOSE: Optic pathway gliomas (OPG) are low-grade pilocytic astrocytomas accounting for 3-5% of ped...

Oct 2020 32969025
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