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AI bias in healthcare starts in the data, not the algorithm. If the training data reflects systemic inequities, the model will too. Data governance is a non-negotiable in the PPTO Framework: https://contra.com/p/O7eWssWo-ethical-ai-in-healthcare-ppto-governance-playbook
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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We made this ad end-to-end with AI, and it aired on US television. No camera, no crew, no shoot. 🎬
It's for SabaiHealth, an AI care companion that lives in your messages, on WhatsApp, LINE, and Telegram. Snap a photo of dinner, and it tracks the nutrition. Set a reminder, it keeps Mama on her meds.
Visuals with Seedance 2.0 and Runway, sound with Suno. Storyboard to broadcast in a fraction of the usual time.
See Sabai: sabaihealth.com
Would you have known this was fully AI-made?
Two heroes. Same dermatology clinic. Opposite proof strategy.
Treatment leads with the patient. Warm tones, a facial in progress, "Clear skin, confidently yours." Trust signals sit quietly below, offer badge in the corner.
Doctor leads with the provider. Cool clinical palette, arms-crossed portrait, "Evidence-based care for healthier skin." Stats bar right under the fold, 98% satisfaction, 30k+ patients, 15+ years.
One sells the outcome. One sells the authority behind it.
Healthcare decisions run on trust, but people build that trust differently. Some need to see the result they want. Some need to see the credentials first.
Which gets a new patient to book faster?
🌸 Treatment
🩺 Doctor
Vote below.
9 votes
Ends in 1d
Amazing work!
A founder recently asked me to build an AI chatbot.
After understanding the business, I recommended something completely different.
The real bottleneck wasn't answering user questions.
It was a manual review process.
Every new shop submitted to the platform had to be verified, checked for duplicates, and rewarded by an admin.
Instead of another chatbot, I designed an AI-first workflow:
• MCP servers exposing business tools securely
• AI agents to verify submissions and detect duplicates
• Automated reward assignment
• Human review only for uncertain cases
The objective wasn't to replace people.
It was to eliminate repetitive work and let humans focus on decisions that actually require judgment.
This is why I enjoy building AI products.
The best AI solution isn't always the most sophisticated model, it's the one that solves the right business problem.
That's the difference between adding AI to a product and engineering a business around AI.
Let's build your AI product together.
#AgenticAI #Automation #AIEngineering #forwarddeployedengineering
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