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- 💰 Nurses Building AI Get $10K Grants-Here's What's Next
💰 Nurses Building AI Get $10K Grants-Here's What's Next
ALSO: NHS One-Day Cancer Diagnosis, Vision-Saving AI, and Drug Safety Breakthroughs
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AIHealthTech Insider: Issue #75
November 17, 2025
This week’s issue? One clear signal: AI in healthcare isn’t evolving quietly - it’s accelerating everywhere at once.
From nurse-led AI innovation gaining real funding to eye-scan models catching blindness early to one-day cancer diagnostics, multimodal echo interpretation, toxicogenomic breakthroughs, and oral-cancer prediction straight from top journals the pace is unmistakable.
Summaries are for education, not medical advice. Always verify locally before clinical use.
Image Source: Hippocratic AI
The American Nurses Foundation and Hippocratic AI launched three $10,000 microgrants to support frontline nurse researchers building practical AI solutions.
Why it matters
Nurses bring workflow reality that tech teams often miss
Early-career researchers gain direct pathways to impact
Reinforces participatory AI development in clinical settings
👉 Read announcement → Hippocratic AI and the American Nurses Foundation Microgrants - Hippocratic AI
A new Planet Classroom interview features Moorfields/UCL ophthalmologist Prof. Pearse Keane, whose work with Google DeepMind shows how AI can triage retinal scans at specialist-level accuracy and speed up care for millions at risk of preventable blindness.
Why it matters
Earlier detection for diseases like AMD — a leading cause of vision loss
AI triage reduces delays in the busiest NHS specialty
Foundation model RETFound enables global, low-label retinal AI tools
👉 Watch the episode → https://youtu.be/IMcKoVfcWpo?si=gWNfw8D9J75QmYsR
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Do You Know? ❤️ Vision–Language AI Interprets Echocardiograms End-to-End
A multimodal model performs full-echo interpretation by combining imaging and clinical text reducing variability and supporting non-expert clinicians.
Why it matters
Improves access to quality cardiac assessment
Strengthens rural and low-resource diagnosis
Shows multimodal models moving into cardiology
Image Source: ICT&health
The British National Health Service (NHS) is testing an AI system across 15 hospitals that analyzes MRI scans within minutes cutting prostate cancer diagnosis time from weeks to a single day.
Why it matters
Prioritizes high-risk scans instantly for same-day biopsy
Reduces radiologist overload and long patient wait times
Improves early detection for the most common male cancer in England
👉 Read the full story →NHS artificial intelligence (AI) trial to diagnose prostate cancer up to a month faster
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Image Source: Nature Communications
A 300-drug toxicogenomics dataset enables AI to predict drug-induced liver injury with unmatched precision.
Why it matters
Major milestone for drug development safety
Prevents costly late-stage drug failures
Deepens mechanistic insights for DILI
👉 Read Full Study →A large-scale human toxicogenomics resource for drug-induced liver injury prediction | Nature Communications
Image Source: npj Digital Medicine
A multiresolution pathology model predicts whether oral lesions will evolve into squamous cell carcinoma.
Why it matters
Reduces unnecessary biopsies
Enables early therapeutic intervention
Fast-growing global cancer category
👉 Read Full Study →AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model | npj Digital Medicine
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🗳️ How Soon Should AI Enter Clinical Workflows?
AI is already proving itself in diagnostics, triage, and prediction - but adoption depends on trust, safety, and readiness.
Image Source: Ideogram/ AIHealthTech Insider
Tell us how quickly you believe these tools should move from research… into real patient care. |
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