Current app screens with plain-English explanation.
These images were captured from the local app using synthetic/demo data. Use them to explain the product to design partners without exposing real patient information.
What the buyer sees first.
The dashboard explains the operating layer: patient volume, file volume, analysis status, QA access, platform health, and fast routes into worklist and clinical workspace.
- Useful for hospital administrators and pilot owners.
- Shows product breadth without starting with the model.
- Should eventually replace demo metrics with validated pilot metrics.
The most important screen for sales.
This is where Med-AI becomes credible: the reviewer sees report text, issue severity, supporting evidence, anatomy mapping, and the sign-off state in one place.
- Best message: AI drafts and flags. Clinicians decide.
- Best workflow: review laterality, comparison, criticality, then edit or sign.
- Best next improvement: remove generic demo data from customer-facing pilots.
The governance layer hospitals expect.
The worklist proves the product is not just a text generator. It gives teams a queue, escalation visibility, and a path from draft to reviewed report.
- Shows pending and signed reports.
- Highlights critical result acknowledgement.
- Keeps patient-facing release tied to clinician action.
The reason a pilot can turn into a budget.
QA analytics helps the buyer answer: did clinicians accept the draft, edit it, reject it, or escalate it? That is the evidence needed for a real rollout decision.
- Tracks clinician agreement and corrections.
- Connects product use to validation metrics.
- Should be the center of pilot reporting.
Be honest about what is still planned.
This screen is useful because it tells buyers where enterprise work remains. It should stay transparent until each integration is connected and tested.
- PACS and RIS are key buyer requirements.
- SSO is required for larger hospitals.
- Do not market integrations as live until they are actually connected.