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⏳ AI Sees Cancer 6 Years Ahead—Game Changer

⏳ AI Sees Cancer 6 Years Ahead—Game Changer

PLUS: MIT’s Sybil model uses CT scans to forecast lung cancer risk long before symptoms appear.

September 08, 2025

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AIHealthTech Insider: Issue #65

September 08, 2025

This week’s edition captures some of the boldest frontiers in AI and medicine — from non-invasive brain–computer interfaces to foundation models reshaping cancer care. We’re also spotlighting breakthroughs unveiled at ESC Congress 2025.

Here’s what’s inside ⬇️

🧠 AI copilots giving paralyzed patients robotic control and independence
💻 Foundation models trained on millions of scans, diagnosing cancers more accurately
🩺 AI predicting breast & lung cancer risks years earlier than doctors
⚡ Radiotherapy planning cut from 2 hours to 2 minutes
❤️ Massive heart-health breakthroughs showcased at ESC 2025

As AI goes deeper into diagnosis, treatment planning, and recovery, healthcare’s future is being redefined.

^{Summaries for education, not medical advice. Verify locally before clinical use}.

🩷 Mirai & Sybil: TIME100 Recognition

Source: MIT Jamel Clinic

MIT professor Dr. Regina Barzilay was named to TIME100 AI 2025 for her groundbreaking cancer-detection tools:

Mirai (2019): Predicts breast cancer risk 5 years in advance from a single mammogram
Sybil (2022): Predicts lung cancer risk 6 years ahead from low-dose CT scans
Validated in 2M+ mammograms (70 hospitals, 22 countries) and 25 hospitals (11 countries)
Designed to catch cancers earlier, reduce unnecessary screenings, and boost survival rates

This recognition highlights how AI is reshaping oncology by shifting detection from late-stage to early, actionable prevention.

Source 👉 Regina Barzilay Named to TIME’s Third Annual List of the TIME100 AI – MIT Jameel Clinic

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🧠 AI Brain Device Restores Control

Image generated by AI

Researchers at UCLA combined a non-invasive brain–computer interface (BCI) with an AI co-pilot, enabling a paralysed man to control a robotic arm:

Conventional BCI: captured brain signals but struggled with precision
With AI: boosted task accuracy and speed by inferring user goals
Robotic arm trial: paralysed participant succeeded 93% of the time at moving blocks
Screen tasks: performance improved 4× over standard BCI use

By sharing autonomy between human intent and AI inference, the system shows how BCIs can evolve into practical tools for independence and improved quality of life.

Source 👉AI-powered brain device allows paralysed man to control robotic arm

🩺 AI Foundation Model for Prostate Cancer

Image generated by AI

Researchers in China built an MRI–pathology foundation model (MRI-PTPCa) to noninvasively diagnose and grade prostate cancer:

Trained on 1.3M MRI–pathology pairs from 5,500+ patients
Achieved AUC >0.978 and 89.1% grading accuracy
Outperformed standard clinical measures and prior AI models
Delivered consistent results across discovery, external, and prospective cohorts

This approach reduces reliance on invasive biopsies, offering a scalable tool for more accurate and less risky prostate cancer care.

Source 👉 An MRI–pathology foundation model for noninvasive diagnosis and grading of prostate cancer | Nature Cancer

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🫀 AI Meets the Heart: Breakthroughs from ESC Congress 2025

This year’s European Society of Cardiology Congress wasn’t just about stents and statins it was a showcase of how AI is reshaping cardiovascular care. From real-time diagnostics to predictive rehab and genetic screening, the fusion of machine learning and medicine is accelerating faster than ever. Here’s a list of the most impactful AI-driven innovations unveiled in Madrid.

ESC Chat → First ESC-approved generative AI tool delivers instant, guideline-based answers to cardiologists.
AI Stethoscopes → Detect heart failure, arrhythmias, and valve disease in <15 seconds, showing 2–3× higher accuracy than traditional methods.
Cheek-Swab Test → Predicts pediatric arrhythmogenic cardiomyopathy 5 years earlier than current standards.
Stroke Rehab AI → Tripled recovery outcomes by personalizing intensity and adapting therapy in real time.
AI-Ready Phenotypes → ESC’s digital committee building a machine-readable library to integrate with EHRs for reproducible AI decision support.

Why it matters: ESC 2025 highlights how AI is transforming cardiovascular care from early prediction to rehab making cardiology one of the fastest-moving fields in AI adoption.

Source 👉Congress Home - Post

🩺 AI Speeds Radiotherapy Planning

Source: Financial Times

Addenbrooke’s Hospital oncologist Dr Raj Jena, the UK’s first clinical professor of AI in radiation oncology, is using AI to cut cancer treatment prep times.

Osairis, co-developed with Microsoft, reduces radiotherapy planning from 2 hours to minutes
Trained on thousands of cases for prostate, head, and neck cancers
Patients now complete treatment in half the time
Frees oncologists to see more patients amid rising demand
New Apollo platform will let doctors safely test early AI models

This breakthrough is helping hospitals accelerate care, shorten waits, and link clinicians directly with AI innovators.

Source 👉https://www.ft.com/content/fcc33754-d583-4302-aaff-de9c09783706?utm_source=chatgpt.com

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