GreyBrain Academy

GreyBrain Academy

IIHMRB Certified

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

Cohort-based AI learning for doctors who want measurable outcomes: better clinical workflows, faster research execution, and venture-ready healthcare innovation.

Cohort-led learning AI tutor support Mentor-reviewed assignments Implementation first

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
Start Clinical AI Cohort

Core audience

Doctors, residents, faculty, and healthcare teams

Delivery model

Cohorts, AI tutor sessions, assignments, and guided implementation

Outcome model

Practice better, publish faster, build with clinical conviction

Decode AI

AI is not magic. It is a workflow.

GreyBrain teaches doctors to work with AI the same way they work with evidence: define the question, add context, inspect the draft, and apply judgment before action.

Clinicians do not need to code first.

They need to understand where prompts, context, models, and review fit into real clinical, research, and entrepreneurial work.

Prompt

Define the physician task

Start with a real question: a clinical note, a manuscript outline, or a pilot concept.

Context

Ground the model in evidence

Attach guidelines, papers, slides, or cohort material so the model works from reference, not guesswork.

Model

Let the reasoning engine draft

The model transforms the request into a first-pass answer, structure, summary, or working plan.

Review

Apply clinical judgment

Doctors and mentors verify what matters. AI accelerates the work; it does not replace accountability.

Output

Turn it into usable work

The result becomes a patient-facing draft, evidence map, reviewer response, or venture artifact.

Living Intelligence Feed

Daily signal, reusable workflows, evergreen wiki entries, and model watch notes

GreyBrain is moving from a blog into a daily reference system for doctors tracking AI in practice, research, and venture building.

Open Briefs Library

Path 1 · Clinical Productivity

Mar 7, 2026

Workflow: Turn a discharge summary into a family update

A communication workflow for translating a discharge note into a brief, family-friendly update that preserves medications, precautions, and follow-up steps.

Source

Workflow

Read Brief

Path 2 · Research

Mar 7, 2026

Wiki: What is a context window?

A clinician-friendly explanation of context windows and why large input size does not automatically mean better reasoning or safer answers.

Path 1 · Clinical Productivity

Mar 7, 2026

Model Watch: How should doctors judge scribe and voice models?

A practical review lens for voice and scribe models used in consultations, documentation, and patient communication workflows.

Model Watch Read →

Path 2 · Research

Mar 7, 2026

Workflow: Turn a paper into a poster outline

A research workflow for extracting the argument, methods, results, and visual hierarchy needed for a scientific poster.

Workflow Read →

Workflow Library

Doctor-facing workflows worth reusing

View all
Path 1 · Clinical Productivity Mar 7, 2026

Workflow: Turn a discharge summary into a family update

A communication workflow for translating a discharge note into a brief, family-friendly update that preserves medications, precautions, and follow-up steps.

Open workflow →
Path 2 · Research Mar 7, 2026

Workflow: Turn a paper into a poster outline

A research workflow for extracting the argument, methods, results, and visual hierarchy needed for a scientific poster.

Open workflow →
Path 3 · Entrepreneurship Mar 7, 2026

Workflow: Turn a clinical audit into a startup hypothesis

A founder workflow for using audit findings to identify workflow friction, quantify the problem, and shape an early venture thesis.

Open workflow →

AI Wiki

Concepts doctors should understand once and keep

View all
Path 2 · Research Mar 7, 2026

Wiki: What is a context window?

A clinician-friendly explanation of context windows and why large input size does not automatically mean better reasoning or safer answers.

Open explainer →
Path 3 · Entrepreneurship Mar 7, 2026

Wiki: What is a design partner in healthcare AI?

A short explainer for doctor-founders on the difference between an interested clinician, an early user, and a true design partner.

Open explainer →
Path 2 · Research Mar 7, 2026

Wiki: What is an embedding?

A doctor-friendly explanation of embeddings and why they matter for semantic search, evidence retrieval, and grounded AI systems.

Open explainer →

Model Watch

Models worth testing, not just talking about

View all
Path 1 · Clinical Productivity Mar 7, 2026

Model Watch: How should doctors judge scribe and voice models?

A practical review lens for voice and scribe models used in consultations, documentation, and patient communication workflows.

Open note →
Path 2 · Research Mar 7, 2026

Model Watch: How to judge a long-context research model

A framework for deciding whether a long-context model is genuinely useful for literature review and manuscript support, not just impressive on paper.

Open note →
Path 3 · Entrepreneurship Mar 7, 2026

Model Watch: When should doctors trust an agent for operations?

A practical lens for evaluating agent-style systems in healthcare operations without confusing autonomy with reliability.

Open note →

Current Cohorts

Choose the path that matches what you want to become next: better clinician, stronger academic, or healthcare builder.

GreyBrain runs doctors through applied AI journeys, not passive catalog browsing. Each cohort is structured around outcomes, assignments, tutor support, mentor checkpoints, and implementation-ready artifacts.

Practice

Use AI for notes, summaries, patient communication, and everyday workflow leverage in clinical settings.

Publish

Accelerate literature review, evidence synthesis, protocol translation, and manuscript drafting for academic output.

Build

Validate healthcare problems, structure capstones, and move toward pilot-ready venture execution.

Cohort Catalog

Live course lineup across clinical productivity, research acceleration, and healthcare venture building.

Intake open

Enrollment

Start your next cohort with the shortest possible path from interest to structured onboarding.

Google sign-in handles learner registration. WhatsApp and Telegram keep the newsletter and academy updates accessible without friction. The learner journey then continues through cohort sessions, AI tutor support, assignments, mentor review, and certificate completion.

Beginner Entry

Open after registration

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.

20-30 min orientation Practice / Publish / Build
Prompt
Context
Model
Review
Output

Google-first onboarding for learner registration

WhatsApp and Telegram channels for newsletter and updates

AI tutor access, mentor review, and IIHMRB-recognized certificate-linked progression

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.

This is a FAQ-first counselor. Expand common questions, review the answer, then send the same query into chat if you want the latest response.

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.