AI Won't Save Healthcare If the Data Feeding It Is Broken - CIO&Leader

Why Healthcare AI Collaboration Stalls and What’s Finally Changing

The biggest hurdle for healthcare AI isn’t a lack of data, models, or good intentions. It’s access. The most valuable data for training powerful AI simply cannot be moved and centralized in the way traditional systems require. Across the healthcare and life sciences ecosystem, the necessary datasets already exist, distributed among hospitals, research networks, and national health infrastructures. The goals are clear: improve diagnostics, speed …

AI Won't Save Healthcare If the Data Feeding It Is Broken - CIO&Leader

Advertisements India’s healthcare AI race is accelerating but Ashissh Raichura, Founder & CEO of Scanbo, believes the industry is building on a cracked foundation. While boardrooms debate algorithms and funding rounds chase the next diagnostic model, Raichura is asking a more uncomfortable question: what if the real problem isn’t the AI at all? Ashissh RaichuraFounder & CEOScanbo At the heart of his argument is a diagnostic data crisis hiding i…