
Why millions of teens trust chatbots over therapists
An invisible shift in youth mental health is happening under the radar of parents and clinicians alike.
Discover the newest research about AI innovations in 🧠Mental Health.

An invisible shift in youth mental health is happening under the radar of parents and clinicians alike.

Standard hospital coding misses over half of emergency cases involving drugs, alcohol, and self-harm, but a local AI model can find them.

New data suggests popular weight-loss and diabetes drugs might buy older patients a few precious months of cognitive health, but only if doctors target the right individuals.

Virtual mental health platforms are racing to deploy AI chatbots trained on real clinical conversations, forcing a high-stakes experiment on vulnerable patients.

A new AI screening agent slashed the workload of medical meta-analyses by over 99 percent, proving that algorithms can find needle-in-a-haystack medical studies faster and cheaper than humans.

A massive chunk of mental health data is currently invisible to the insurers who pay for care.

Digital health giants are discovering that giving consumers what they want—insurance-covered therapy—might actually break their business models.

A major digital health player is trying to buy its way to an IPO by merging physical and mental care.

Large language models trained to think through clinical decisions are actively generating and amplifying biased language that could compromise patient care.

By chaining generative AI to a rigid clinical knowledge graph, researchers have built a digital counselor that actually follows the rules.