On-Device Intelligence – Redefining AI/LLMs for Healthcare Applications
19 November 2025
Sagar Makhija (Tech Lead – Software, Decos) showcased how on-device intelligence and locally hosted LLMs are revolutionizing AI-driven healthcare. Moving AI to the edge—on devices or hospital servers—boosts speed, privacy, compliance, and reliability for critical workflows.
Highlights:
- On-device AI: Eliminates cloud dependency, enables secure real-time inference, even offline.
- Compliance & Security: HIPAA/GDPR-ready architecture for instant decision support.
- Models & Performance: Practical use of 2B–4B quantized models on Android, tablets, and servers; guidance on model selection and tuning.
- Integration: Hybrid setups with on-device and GPU-powered servers for scalability.
- Business Case: Lower TCO, enhanced security, independence from third-party clouds.
Key Takeaways
- On-device AI = Private, fast, compliant intelligence
- Local models enable real-time decision support
- Quantized LLMs run on low-RAM devices
- Hybrid architecture ensures scalability for hospitals
This webinar was presented by Decos, a cutting-edge technology services partner ready to meet your diversified needs in the healthcare domain.
If you have any questions about this webinar or wish to seek advice on medical device project, please contact Devesh at devesh.agarwal@decos.com
We would love to discuss it with you! We also have list of recaps of interesting webinars conducted in past. You can check out those here
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