No. 001 · The daily AI briefing
Today on the
AI frontier.
Hundreds of new AI models ship every day. We surface the ones that matter and translate them into plain language. Tap any model for the brief.
Pick of the day
Today's model
🔥 5dmoonshotai/Kimi-K3
Kimi-K3
📰 Tech Blog | 📄 Full Report
Kimi-K3
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In medicine
Models Hugging Face categorises under medical, healthcare or clinical tags. A category, not an endorsement.
Lingshu-7B
Image Text To Text · mit
Tap for the brief →Medical-NER
Token Classification · mit
nexus-medical-GGUF
Text Generation · apache-2.0
ClinicalBERT
Fill Mask
parakeet-tdt-0.6b-EN-Medical
Automatic Speech Recognition · cc-by-4.0
Prompt of the day
Not a one-liner you could type yourself — an ambitious task that shows what AI can build for you: a hard clinical work-up, a patient handout, a stunning teaching image, a mini app. Tailored to today's model, with everything baked in. Copy it and run it.
AI-suggested for clinicians · Kimi-K3
Kimi-K3 X-Ray Insights
You get a comprehensive radiologic analysis including findings, ranked differential diagnoses, next best investigation, and red flags, demonstrating advanced AI capabilities in medical image interpretation.
Act as a consultant radiologist. A fictional 55-year-old female patient with a history of breast cancer presents with a newly discovered lung nodule. Her chest CT scan (described): a 1.5 cm spiculated nodule in the left upper lobe, with adjacent pleural thickening, no lymphadenopathy, and a small 0.5 cm benign-appearing calcification in the right lung. (1) Report the findings as you would dictate them. (2) Give a ranked differential with the discriminating feature for each. (3) State the single most useful next investigation and why. (4) List the red flags that would change management today. Name the radiographic sign behind each call.
Synthetic case with a described image. Run it as-is, or attach a real de-identified image following your local safety policy.
Always verify AI outputs with clinical expertise and patient data.
Try it in a SpaceBecome future-ready
Most AI training is built by engineers, for engineers. Ours takes clinicians on a journey: from confident user, to applied scientist, to inventor. Learn the fundamentals, apply AI to real research and clinical work, then build your own, turning research into analysis, notes into documents, and ideas into presentations, reports, even papers and websites.
A credential that counts
Every track is certified by IIHMR Bangalore, a leading, NAAC-accredited institute for healthcare education, in partnership with GreyBrain School of AI. You finish with a recognised executive certificate, not just know-how.
Accredited · AICTE · NBA · NABET · NAAC
SpecimenWhat you'll be able to do
Capabilities you walk away with, not theory you forget.
Research analysis
Interrogate data and studies, and reach conclusions fast.
Literature reviews
Synthesise the evidence base in minutes, not weekends.
Documents & reports
Clinical reports, letters and patient material, drafted for you.
Presentations
Conference-ready slide decks, built in a fraction of the time.
Research papers
Structure, write and polish papers toward publication.
Websites & marketing
Launch a site and run your own digital outreach.
Choose your level and pace
Dip in with a one-day workshop, get certified with the two-week Express, or go all the way with a multi-week cohort. Same path, your depth: from confident user, to applied scientist, to inventor.
Gen AI for Doctors: Workshop
8 hours · 4 modules · on-site or online · for institutes running a batch of 50–100
You become a confident user
- Four hands-on modules — no jargon, no code
- Pre-read, so the day starts at full speed
- A capstone your team walks out with
Gen AI for Doctors: Express
2 weeks · part-time · 4 dense modules · for clinicians who want certified, applied skills
You become an applied scientist
Gen AI for Doctors: Executive Certification
8 weeks · flexible online · 6 modules · for health professionals ready to build and lead
You become an inventor
- Build your own AI assistants and tools, no code
- Work on real medical datasets and your own workflows
- A capstone you can deploy in your unit
The pre-read
Greywaken — Applied AI for Doctors
Orientation — AI Through a Doctor's Eyes
Free previewWhat AI actually is, what it isn't, and why this moment matters for medicine.
Understanding AI — The Clinical Lens
From Large Language Models to multimodal AI: how the machines think, in doctor-friendly terms.
Working with AI — Research & Writing Partner
Prompt engineering, literature synthesis, grant writing, and building a reusable AI workspace.
Clinical Decision Support
Safe AI in diagnostics, triage, risk stratification — and where the red lines are.
Drug Intelligence & Pharmacology
AI-assisted prescribing, DDI checks, ADR detection, and the GreyBrain Pulse drug feed.
Ethics, Governance & Safety
Consent, bias, hallucination, medico-legal exposure, and how to write an AI policy for your unit.
Intelligence Science — Neurons to Networks
How medicine invented AI: Cajal, McCulloch-Pitts, and why understanding the machine makes you a better doctor.
Phone-friendly · self-paced · MCQs after every lesson
Chapter F0 is free. The rest unlocks when your course coordinator adds you to a cohort.
Stay in the loop
No spam, no pressure. Pick what is useful, and we will keep you posted.
Express interest
Tell us which track fits. We will reach out, gently.
Upcoming courses
Be first to know when a new cohort opens.