GreyBrain Academy AI academy for doctors
GreyBrain Academy IIHMRB Recognized

The AI Academy for Doctors Who Want to Practice, Publish, and Build

GreyBrain teaches doctors how AI actually becomes usable work: better notes and communication, faster research execution, and venture-ready healthcare ideas grounded in clinical reality.

Cohort-based learning AI tutor support Mentor-reviewed assignments Certificate-linked completion

Path 1 selected

Use AI to save time in notes, communication, and day-to-day clinical workflow.

For practicing doctors who want immediate leverage in OPD, inpatient care, discharge communication, and team workflows.

Clinical notes and summaries
Patient communication
Workflow SOP support

How GreyBrain explains AI

AI is not magic. It is a workflow doctors can understand.

GreyBrain lowers the barrier by teaching AI as a sequence: define the task, add context, inspect the draft, review for risk, and turn the output into something clinically or academically useful.

Prompt

Start with the physician task

Frame the exact question: a note, a paper, a protocol, or a pilot concept.

Context

Ground the model in evidence

Attach slides, guidelines, papers, and cohort material so the answer is anchored.

Model

Let the engine draft

The model structures a first-pass answer, synthesis, outline, or workflow plan.

Review

Apply judgment and mentorship

Clinicians and mentors validate the work before anything becomes operational.

Output

Turn it into usable work

That output becomes a clinical asset, academic artifact, or venture-building document.

Three outcome paths

Choose the path that changes what you become next.

The same AI foundations branch into three different doctor outcomes: better clinician, stronger academic, or healthcare builder.

Practice

Use AI to reduce documentation, summarization, and patient-communication load.

Built for clinicians who want AI that is useful in wards, OPD, discharge, and day-to-day workflow support.

Publish

Use AI to accelerate literature review, evidence synthesis, and manuscript preparation.

Built for residents, faculty, and academic clinicians who need better throughput without lowering rigor.

Build

Use AI to validate healthcare problems, structure pilots, and move toward clinician-led ventures.

Built for operators and founders who want to go from insight to MVP and pilot readiness.

Daily editorial intelligence

A daily reference system for doctors tracking AI.

GreyBrain is structured as signal, workflow, wiki, and model watch, not just a pile of blog cards.

Open Briefs Library

From Pixels to Policy: Building Responsible Clinical Intelligence

The latest Qwen2.

Model Watch: Qwen3.5-397B-A17B

Trending on Hugging Face for multimodal clinical interpretation. Useful for multimodal pipelines where image context must be linked with clinical notes.

From 3D Vision to Real-World Validation: How AI Is Rewriting Clinical Practice

Stanford’s Merlin model marks a shift toward native 3D clinical vision, enabling volumetric reasoning and cross‑modal retrieval in diagnostics.

Model Watch: Qwen3.5-35B-A3B

Trending on Hugging Face for multimodal clinical interpretation. Useful for multimodal pipelines where image context must be linked with clinical notes.

Workflow Library

Reusable doctor workflows

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AI Wiki

Concepts doctors should understand once

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Model Watch

Models worth testing, not just discussing

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Current cohorts

Courses that map directly to the three GreyBrain outcomes.

Each course page now exists to explain transformation, syllabus shape, and the next enrollment action clearly.

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.

Generative AI For Doctors - Express

A focused starter track for doctors who want immediate gains in prompting, clinical documentation, patient communication, and safe workflow delegation.

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 the terminology.

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 interpreted before real-world use.

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, models, 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 open

Register 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
Review Cohorts

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.