What makes our approach different? While traditional AI looks for statistical patterns, our model also considers how medical experts actually think and make decisions about diabetes diagnosis. This cognitive modeling approach leads to more interpretable results. #ExplainableAI

We're not just creating AI that makes faster healthcare predictions - we're developing a system that is smarter, more equitable, and centered on human dignity. This isn't the future of healthcare; it's what we're building today. #FutureOfAI

By merging pattern recognition from machine learning with meaningful insights from cognitive modeling, we've created a more ethical and thoughtful approach to diabetes prediction. This is AI that truly serves humanity. #AIForGood

Doctors don’t just predict.
They remember, reason, and reflect.
We built AI that acts the same way with human-centered thinking at its core.
#HumanCenteredDesign

Doctors don’t just predict.
They remember, reason, and reflect.
We built AI that acts the same way - with human-centered thinking at its core.
#HumanCenteredDesign

🔍 What matters most for early diabetes prediction?
✅ BMI
✅ High blood pressure
✅ Smoking habits
Our model shows you what’s really driving the diagnosis — no secrets.
#Transparency

Our team just developed an AI system for early diabetes detection—built to combat algorithmic bias in healthcare. We're addressing the 8.4M undiagnosed U.S. cases with equity, accuracy, and accessibility at the forefront. #AIinHealthcare

🏥 ACT-R + Machine Learning means our model:
➔ Finds patterns 🔎
➔ Thinks like a doctor 🧠
➔ Admits when results are uncertain ⚖️
Real steps toward safer, smarter healthcare AI.
#HealthTech #FutureOfAI

🛡️ Good AI should:
✅ Predict accurately
✅ Warn when uncertain
✅ Stay fair across groups
✅ Empower humans, not replace them
That's how we designed our diabetes detection system.
#AIForHealth

⚖️ Not all AI is fair.
Bias in healthcare AI can cost lives.
We designed ours to issue uncertainty warnings when there’s not enough matching patient data. Transparency first.
#ResponsibleAI

🔬 How our system works:
➔ ML is trained on patient features like BMI, blood pressure, and lifestyle.
➔ ACT-R models how a human expert might recall similar cases and reason about diagnosis. #AIforGood

Diabetes is a global crisis: 400+ million people worldwide 🌎
And millions have it without even knowing — risking silent, long-term health damage.

Early detection isn’t just helpful — it’s life-saving. #DiabetesAwareness

Our team just developed an AI system for early diabetes detection—built to combat algorithmic bias in healthcare. We're addressing the 8.4M undiagnosed U.S. cases with equity, accuracy, and accessibility at the forefront. (1/15) #AIinHealthcare