Audience
Doctors, residents, faculty, healthcare teams
GreyBrain Academy
IIHMRB Recognized
The AI Academy for Doctors Who Want to Practice, Publish, and Build
GreyBrain helps doctors use AI in real work: clinical productivity, academic research, and healthcare venture building.
Path 1 selected
Reduce documentation and communication load.
Best when you want faster notes, summaries, and patient communication.
Clinical notes and summaries
Patient communication
Workflow SOP support
What changes first
Clinical Productivity
1Clinical notes and summaries
2Patient communication
GreyBrain outcome
Practice
Clinical notes and summaries
Patient communication
Workflow SOP support
Built for clinicians, residents, faculty, and healthcare teams.
Starts with an interactive refresher before deeper cohort learning.
Why doctors start here
GreyBrain lowers the barrier before it raises the ambition.
Doctors do not need more vague AI noise. They need a structured way to understand how AI works, what it is good at, where it fails, and how to use it safely in practice, research, and innovation.
Learn without jargon
Understand how prompts, context, and review actually shape the answer.
GreyBrain removes the engineering fog and explains AI in doctor language, using real healthcare examples instead of abstract theory.
Work on real use cases
Start from OPD notes, clinical papers, or healthcare problems that already matter to you.
The academy is organized around outputs doctors can immediately recognize: patient communication, literature synthesis, pilot framing, and more.
Learn with support
Move from curiosity to implementation with tutor help, assignments, and mentor review.
This is not a passive content library. GreyBrain combines cohort structure, AI tutoring, and guided execution through to completion.
Three outcome paths
One foundation. Three visible doctor futures.
Choose the first outcome you want AI to improve.
Practice Track
Reduce note, summary, and patient-communication load.
Start with OPD, ward, discharge, and team workflow scenarios where time pressure is real.
Notes -> patient instructionsDischarge -> family updateGuideline -> clinic checklist
Publish Track
Accelerate literature, evidence, and manuscript execution.
Use AI to structure the hard middle of academic work without giving up rigor.
Paper -> synthesisReviewer comments -> response matrixProtocol -> slide deck
Build Track
Move from healthcare insight to pilot and venture brief.
Use AI to frame problems, clarify users, and make ideas testable with real metrics.
Pain point -> MVP briefWorkflow -> pilot KPI sheetCapstone -> founder story
Academy signal board
Daily signals, explainers, and reusable workflows for doctors using AI seriously.
Starter flow
Refresher before cohort
A guided entry for doctors who want to understand the mechanics before they commit deeper time.
Support layer
AI tutor + mentor review
The platform helps explain, critique, and sharpen work instead of only generating drafts.
Outcome model
Practice / Publish / Build
The same AI foundations route into better daily work, stronger academic output, or venture creation.
From Pixels to Policy: Building Responsible Clinical Intelligence
The latest Qwen2.
Model Watch: Qwen3.5-397B-A17B
From 3D Vision to Real-World Validation: How AI Is Rewriting Clinical Practice
Model Watch: Qwen3.5-35B-A3B
Workflow Library
Reusable doctor workflows
Paper to family brief
Open workflowClinic note to patient instructions
Open workflowClinical problem to MVP brief
Open workflowAI Wiki
Concepts doctors should understand once
What is RAG for doctors?
Open explainerWhat is a model card?
Open explainerWhat are pilot metrics?
Open explainerModel Watch
Models worth testing
Current cohorts
Choose the cohort that matches your current stage and intent.
AI Refresher For Doctors
A 20-30 minute interactive orientation for doctors who want to understand how AI moves from prompt to real clinical, academic, and ve…
Generative AI For Doctors - Express
A focused starter track for doctors who want immediate gains in prompting, clinical documentation, patient communication, and safe wo…
Generative AI For Healthcare Professionals
A broader implementation track for clinicians and healthcare teams who want to redesign real workflows with AI, not just understand t…
Medical Models and Data Analytics with AI
A clinician-oriented analytics course for doctors who want to understand models, data signals, and how AI outputs should be interpret…
Super Agents: How to Hire AI to Work For You
Build AI-assisted agent workflows that remove repetitive work and create leverage for clinicians and operators.
Running Your Business with AI
Use AI to improve healthcare business systems, service design, and operational decision-making.
Enrollment and starter flow
Start with a low-friction entry, then move into the full cohort.
Registration unlocks the refresher, which explains prompt, context, model behavior, review, and output before routing the learner into the right full path.
AI Refresher For Doctors
A 20-30 minute interactive orientation for doctors who want to understand how AI moves from prompt to real clinical, academic, and venture outputs.
Prompt Context Model Review Output
Enrollment
Intake openRegister once, then move directly into cohort onboarding.
Continue with Google to create the learner record used for cohort access, AI tutor support, assignments, and certificate-linked progression.
Selected: Path 1: Clinical ProductivityGoogle-first flow
Newsletter
Subscribe to AI School updates
Follow the daily stream of clinical AI briefs, model watch notes, and cohort announcements.
Use Telegram or WhatsApp only for updates and announcements. Enrollment itself stays structured through the academy flow.
Counselor support
Ask path, fee, schedule, certification, and onboarding questions before you commit.
The counselor is FAQ-first. Review the answer, expand what matters, then open the chat for the next question.
Covers Path 1, Path 2, Path 3, onboarding, assignments, and IIHMRB certificate questions.
Pre-Enrollment
AI Counselor
AI-mediated logistics help for path, timeline, payment, and onboarding.
FAQ chips (tap to expand)
Which path fits me if I am starting with no AI background?
Start with Path 1 if your immediate goal is clinical productivity. Move to Path 2 when your goal is publication and research execution, and Path 3 when your goal is venture-building or innovation.
Expand a FAQ chip above or type your own question.