Houston-based Texas Children’s Hospital has developed an AI model to determine pediatric patients’ bone age, allowing radiologists to allocate time to more complex tasks. Launched in November, the AI ...

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers.

Radiation-free AI technology, precision exercises, and lighter braces are adding options for patients and their families.

Pediatric infectious diseases not only harm children's physical health but also severely disrupt their education and family life, while imposing a ...

In racially and socioeconomically marginalized pediatric patients there are significant inequities in the incidence of HER behavioral flags.

PPEC programs like Spark Pediatrics give healthcare providers a resource to manage and coordinate care for children with ...

Results of a randomized, controlled clinical trial in Japan among more than 170 children aged 1 to 6 who underwent surgery ...

During a routine well-child checkup for Charlie, his pediatrician performed a vision screening using a photo screening ...

MARK BRODIE: Well, it sounds like it wasn't a terribly difficult transition for you then, from going from thinking that you were gonna have paintings hanging in galleries to writing and illustrating ...

The firm decreased its portfolio allocation in KIDS by 22.69% over the last quarter ... focused exclusively on advancing the field of pediatric orthopedics. As such it has developed the most ...