AI app for healthcare · no coding needed
Instant Dermatology Review
Skin concerns reviewed within minutes by AI and confirmed by a dermatologist, instead of waiting weeks for a referral.
Made for: Public health district officers in Southeast Asia or East Africa
What it does for you
The problem
Rural clinics lack specialist access and face long referral queues that delay treatment.
What it gives you
Structured differential diagnosis, biopsy code, treatment plan, prescription suggestions, billing code
What you give it
Clinical imagespatient history
How it works, step by step
- Secure image upload and history entry
- AI vision model analysis of dermoscopic images
- AI language agent drafting differential diagnosis
- Specialist review and editing of AI draft
- Automated report generation with codes and treatment plans
- Integration with billing and patient records
What you see on screen
- Image upload portal
- specialist review dashboard
- report delivery interface
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Instant Dermatology Review with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Instant Dermatology Review with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare20 KB
- prompt-vps.mdThe same build on your own server (Docker)20 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data202 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For public health district officers, turn clinical images and patient history into a specialist diagnosis and treatment plan. Address the problem of specialist shortages and long referral delays. The value hypothesis is a faster, more accessible diagnostic pathway that reduces patient travel and waiting times.
Nurse uploads clinical image and enters patient history, Vision model analyses the dermoscopic image, Language agent drafts a provisional differential diagnosis, Specialist reviews the AI draft on a mobile dashboard, Specialist edits the draft and approves the report, System generates the final structured report, Report is delivered to the clinic for immediate treatment
How the AI works
A vision model trained on dermatology datasets analyses the image and a language agent drafts a structured differential diagnosis. A human specialist reviews the draft for accuracy and signs off on the final report.
Safeguards
Scope restriction to one condition at a time, disclaimer that report is a decision aid, mandatory human sign-off
What to build first
One clinical pathway for skin lesions, five volunteer specialists in one city, WhatsApp submission endpoint
What it can connect to
Hospital records systems, billing systems, WhatsApp API
The screens in detail
Use a secure upload portal for the nurse, a mobile dashboard for the specialist, and a report viewer for the clinic. The specialist can edit the AI draft on their phone. The nurse receives the final report immediately.
