A massive screening study reveals that chest X-ray AI can flag lung tumors before human radiologists, but its real value lies in how we manage the noise it creates.
AI developers are shifting from specialized imaging to opportunistic screening, extracting systemic disease markers from routine, low-cost clinical data like basic ECGs, retinal photos, and wearable pulse signals.
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 year into a massive push to digitize healthcare administration, the tension between voluntary industry promises and hard regulatory mandates is reaching a tipping point.