Smartphones screen children for autism using eye tracking
A new smartphone eye-tracking tool could bypass long clinic waitlists by screening children for autism at home.
Discover the newest research about AI innovations in 👶 Pediatrics.
A new smartphone eye-tracking tool could bypass long clinic waitlists by screening children for autism at home.

When a child faces a mental health crisis, the current system offers only two real options: months on a waiting list for basic therapy, or a chaotic, expensive trip to the emergency room.

A newly launched video game prescription signals a massive shift in how conservative medical systems handle pediatric mental health.

A new portable device combines microfluidics and machine learning to diagnose pediatric urinary tract infections in hours instead of days.

An AI startup is buying its way into pediatric care, but the real prize is the data needed to train autonomous medical algorithms.

An algorithm trained on electronic health records can flag critically ill newborns who need rapid gene sequencing weeks faster than human doctors alone.

Standard hospital triage routinely misjudges how fast sick children need a doctor, but a new neural network proves we can catch them at the front door.

A new algorithm spots rare growth disorders years before traditional clinical methods, shifting the focus of pediatric screening from reactive tracking to active prediction.

A new AI model reconstructs missing neonatal heart signals using light-based sensors, bypassing the need for irritating skin adhesives in intensive care.

Predictive algorithms are moving from administrative tools to clinical safety nets, flagging developmental risks before symptoms disrupt a child’s life.