
Young people are outsourcing therapy to algorithms
When vulnerable teenagers turn to artificial intelligence for mental health advice, they are not finding a cure—they are finding a mirror that tells them what they want to hear.
Discover the newest research about AI innovations in 🧠LLM’s.

When vulnerable teenagers turn to artificial intelligence for mental health advice, they are not finding a cure—they are finding a mirror that tells them what they want to hear.

A doctor’s self-doubt can degrade the accuracy of medical AI, proving that these systems are highly sensitive to how questions are framed.

A new benchmark shows that expensive tabular foundation models offer almost no performance advantage over classic machine learning for predicting patient outcomes.

The shift from chatbots that answer questions to autonomous agents that execute medical tasks is happening faster than our safety guardrails can adapt.

Adding radiology text to visual AI models stops them from failing when hyperparameters change.

The FDA just cleared its first patient-facing generative AI tool, but the algorithm is not the one writing your prescription.

Automated medical registries promise to slash administrative burdens, but a new trial reveals that large language models are not yet reliable enough to replace human chart reviewers.

A new study reveals that simply telling an AI to act like an insurance company causes it to reject treatments that human doctors deem necessary.

A massive $65 billion funding round positions Anthropic to dominate clinical AI, but the real test is whether hospitals will trust its models with patient lives.

An AI giant is moving from writing software code to designing biological molecules, raising both commercial hopes and biosecurity alarms.