
AI Toilet Cameras Target the Wearable Blindspot
Silicon Valley wants to monitor the one vital health metric your smartwatch cannot reach.
Discover the newest research about AI innovations in Research.

Silicon Valley wants to monitor the one vital health metric your smartwatch cannot reach.

A new AI analysis reveals that nearly half of all pregnancy records contain stigmatizing language, with Black and less-educated patients bearing the brunt of clinical bias.

Predictive algorithms can now spot type 2 diabetes risk ten years in advance, but the real bottleneck is how healthcare systems will handle millions of newly flagged patients.

A patient’s fate is often hidden in the messy paragraphs of their medical charts rather than their official disease stage.

A year into a massive push to digitize healthcare administration, the tension between voluntary industry promises and hard regulatory mandates is reaching a tipping point.
A single week of wrist-worn movement data can forecast hundreds of future health conditions years before they are diagnosed.

A standard ten-second heart trace holds hidden data that could predict when a patient will die, but clinics are not equipped to read it.

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

Algorithms can now flag the earliest signs of lung cancer, but technology alone cannot fix a broken healthcare pipeline.

By tracking entire patient histories instead of clinical snapshots, a new AI model outperforms traditional cancer staging systems across three countries.