Two Indian Engineers on a Mission to Automate Home Cooking for the World
In a live demonstration for AIM, Posha prepared paneer tikka masala in approximately 25 minutes
- Published on September 17, 2025
- In AI Features
Why a Generic LLM Won’t Cure Healthtech’s Biggest Problems
While foundation models may boost experimentation, healthcare demands deterministic, auditable and compliant systems before they can be trusted in production.
- By Merin Susan John
The global healthcare AI market is projected to reach $46.6 billion by 2035. It is set to transform how hospitals, payers and wellness providers manage everything from electronic medical records (EMR) to diagnostics and claims. However, as the industry evolves, generic AI platforms are proving insufficient for healthcare’s unique requirements.
Unlike consumer or enterprise IT, healthcare demands accuracy, compliance and explainability. Errors don’t just create inefficiencies; they can lead to serious, high-risk consequences. Hence, the next wave of healthcare AI is moving away from generic, speed-focused tools and towards verticalised, compliance-first platforms specifically designed for regulated industries.
India, long known for exporting global healthcare IT talent, is now bui
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Merin Susan John
Merin Susan John is a journalist at Analytics India Magazine, reporting on the intersection of AI and human capital. She can be reached at merin.john@aimmediahouse.com
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