Most Healthcare AI Wasn’t Built for the Places That Need It Most

1. 1Assess the current healthcare AI systems used in your clinic or organization
2. 2Identify the limitations and biases of these systems
3. 3Research alternative AI systems designed for low-resource settings
4. 4Collaborate with healthcare professionals and AI developers to design more inclusive AI systems
5. 5Test and evaluate the effectiveness of these new systems in low-resource clinics

Healthcare professionals, AI researchers, and developers can benefit from understanding the limitations of current healthcare AI systems and the importance of designing AI for low-resource settings

💡 Current healthcare AI systems are often designed for high-resource settings, leaving low-resource clinics without effective AI solutions

💡 Most healthcare AI isn't designed for clinics that need it most. Let's change that! #healthcareAI #inclusiveAI