Insights
#GRIF: Trust & Adoption
Beyond the “Black Box”—Building Trust in High-Volume CareLive from Delhi at the Health AI Summit! Consensus among the panels is clear: Scale…
Insights
From the Lab and the Field.
Analysis, perspectives, and updates from the Gentrac Labs team.
Insights
#GRIF: Explainability (XAI)
Accuracy in your healthcare AI application is worthless if it isn’t actionable. 📉 🧠#GRIF Post 4: Explainability (XAI) and why the “#BlackBox”…
Insights
#GRIF: The Data Heterogeneity Gap
Healthcare AI models also fail because the “lab” (training) data is “too clean” 📉If your underlying healthcare AI model is trained on…
Insights
#GRIF: HardwareAgnosticism
Building a Ferrari engine for a bicycle frame? 🏎️🚲#GRIF Post2: Hardware Agnosticism & hashtag#TechnicalResilience.If your healthcare AI model requires high-compute environment, are…
Insights
The Blind Spot in Healthcare AI
The Blind Spot in Healthcare AI, leading to innovator and investor exhaustion: In the past 2 decades, I have witnessed scientific successes…