Getting Started¶
Guide for students, residents, clinicians, and administrators.
Why AI Medical Assistant¶
AI Medical Assistant helps you:
- learn with an AI tutor backed by a RAG knowledge base;
- complete clinical cases and exams;
- track progress across learning modules;
- (clinical platform) store patient records, upload discharge notes, view DICOM, and receive AI risk predictions.
First login¶
- Open the platform URL:
- local:
http://localhost:8001/login - production:
https://fileguardian.com.ru/login - Select your clinic (subdomain) from the list (if multi-tenancy is enabled).
- Enter your email and password.
- Click Sign in.
Screenshot: login page with the AI Medical Assistant logo, fields for Clinic, Email, Password, and a Sign in button. On the right — theme toggle (☀️/🌙).
Registration¶
If you do not have an account:
- On the login page, click Register.
- Fill in full name, email, and password.
- Select a role (see the table below).
- For doctor, nurse, head of department, or resident — select a department when required.
- Click Create account.
Registration roles¶
| Role | Who it's for | What you can do |
|---|---|---|
| Student | Medical students | Tutor, cases, exam, progress |
| Resident | Residents | Learning + clinical modules; department optional |
| Doctor | Attending physician | Patients, documents, predictions, DICOM + learning |
| Nurse | Nursing staff | Department view, export |
| Head of department | Department lead | Full department management |
| Administrator | Clinic IT/management | Users, departments, audit, RAG knowledge base |
| Researcher | Analytics without PII | View anonymized data |
| Viewer | Audit, oversight | View full data, export |
Researcher vs Viewer
A Researcher sees data without full name and contact details (anonymized). A Viewer sees full records but cannot edit them.
Main menu¶
After login, the top bar provides learning sections (and clinical ones when applicable):
| Item | Purpose |
|---|---|
| Tutor | AI chat grounded in RAG |
| Cases | Interactive clinical scenarios |
| Exam | Quizzes and knowledge checks |
| Progress | Results by module |
| Dashboard | Statistics (clinical platform) |
| DICOM | Medical images |
| Subscription | Plan and limits |
| Admin | Administrators only (including knowledge-base ingest) |
Note
In a learning-focused navbar, Patients may be omitted — depends on role and configuration.
Screenshot: top navigation with Tutor active; Sign out button and theme toggle on the right.
User information¶
On the dashboard, below the heading, a line shows:
Ivan Ivanov · Student · —
This is your full name, role, and department (if assigned).
Dark theme¶
Click ☀️/🌙 in the top-right corner. Your choice is saved automatically.
Next steps¶
- AI Tutor
- Clinical cases
- Exam
- Progress
- Working with patients (clinical platform)