A new study published in JAMA Pediatrics found that an artificial intelligence (AI)-based clinical decision-making tool can help improve antibiotic stewardship for diarrheal disease in settings with...
A study published in JAMA Network Open last month found that a prediction model could accurately forecast health-related quality of life (HRQOL) among adult survivors of childhood cancer using...
Researchers have found a significant association among social determinants of health (SDOH), prehospital pediatric encounters, and EMS transport decisions.
Screening children for SDOH has become more...
Children's Hospital of Philadelphia (CHOP) has announced the launch of a new analytics platform that will use pediatric cancer data to streamline and accelerate cancer drug development.
With...
A study published this week in Nature Communications shows that an automated clinical decision support tool for genetic disease diagnosis and treatment can provide accurate results and disease...
Ohio-based Akron Children’s Hospital has launched a strategic, multi-year partnership with data and analytics technology company Health Catalyst to advance population health and improve patient...
A study published in Scientific Reports earlier this month found that artificial intelligence (AI)-based software approved for use in interpreting adult chest radiographs achieved high performance on...
Despite a slight inconsistency in satisfaction rates among different ethnic groups, a study from Academic Pediatrics reported a relatively high rate of approval from parents regarding the use of...
New research has found that an artificial intelligence (AI)-based medical device can assist clinicians in primary care settings accurately diagnose autism spectrum disorder (ASD) in children up to 6...
A deep-learning model can accurately predict pediatric no-shows using data from patient EHRs and local weather information, which can then be used to implement no-show prevention measures, according to...
While exploring the possibilities of integrating machine learning into clinical decision-making, a JAMA Network study found that novel machine learning-driven workflows helped improve test ordering...
Researchers from Johns Hopkins Medicine and NORC at the University of Chicago found that the Agency for Healthcare Research and Quality's (AHRQ) Safety Program for Improving Antibiotic Use is...
Children’s Hospital Los Angeles received a three-year, $2 million grant from the state of California to conduct a precision medicine study screening children for adverse childhood experiences...
Using a predictive analytics model, providers could proactively identify pediatric patients at risk of developing blood clots or venous thromboembolisms (VTEs), according to a study published in...
A precision medicine therapy developed by researchers at UCLA and Great Ormond Street Hospital (GOSH) in London restored immune function in more than 95 percent of pediatric patients.
Using the...
Many cardiomyopathies in children are the result of genetic mutations, making a strong case for routine genetic testing to improve patient outcomes, according to a study published in the Journal of the...
A mobile app was able to distinguish toddlers diagnosed with autism spectrum disorder using machine learning, indicating that the technology could someday serve as a scalable early screening tool.
In...
Intermountain Primary Children’s Hospital has launched the HerediGene: Children’s Study, an effort to speed the development of precision medicine therapies for children with genetic...
A digital clinical decision support tool can help providers determine whether a child’s diarrhea is caused by bacteria or a virus and potentially cut inappropriate antibiotic use, according to a...
A deep learning model can measure the volume of cerebral ventricles on pediatric brain scans, leading to improved treatment of a pathological condition called hydrocephalus, according to a study...
