Chandigarh University, Uttar Pradesh recently hosted a one-day symposium on “AI in Governance: Policy, Practice, and People-Centric Transformation.” The event focused on how artificial intelligence can be used in public services, especially in healthcare. On the same occasion, the university formally announced the launch of a Centre of Excellence in Smart Healthcare.

The Centre is expected to work closely with hospitals and healthcare professionals to test and apply AI-based tools in real settings. The aim is straightforward-improve diagnosis, manage patient data more efficiently, and support better decision-making in healthcare systems at Chandigarh University, Uttar Pradesh.

What Was Announced at the Event

  • A Centre of Excellence in Smart Healthcare was officially launched
  • An AI Ethics Training Programme was introduced in partnership with upGrad
  • Around 1.5 lakh youth in Uttar Pradesh are expected to be trained over five years
  • The university outlined plans to work directly with hospitals on research and testing
  • Support for five AI startups has been planned over the next two years
  • A high-performance computing system will be used to handle research and data analysis

Main Areas the Centre Will Work On

Area What It Means in Practice
Medical Imaging Helping doctors review scans such as X-rays, MRIs, and CT scans
Predictive Analytics Using data to identify possible health risks earlier
Precision Medicine Supporting treatment decisions based on patient-specific data
Data Management Handling large volumes of medical records securely
Technology Integration Using connected devices and digital tools in hospitals

Immediate and Near-Term Plans

Timeline Planned Work
Initial Phase Collaborate with hospitals to test AI models
Short Term Publish research findings and case studies
Next 2 Years Provide technical support to five startups
Ongoing Build partnerships with healthcare providers

AI Ethics Training Programme: Basic Details

Item Information
Partner upGrad
Target Youth across Uttar Pradesh
Expected Reach 1,50,000 participants
Duration Five years
Focus Responsible use of artificial intelligence

Technology Support Behind the Initiative

  • A computing system based on NVIDIA Blackwell Architecture
  • 168 GB GPU memory for handling large datasets
  • Infrastructure designed mainly for research and testing AI applications
  • Expected to support students, researchers, and startups working on healthcare projects

Discussions Held During the Symposium

Two panel sessions were organized to share practical views on AI adoption:

Session Title Discussion Focus
AI Use Cases in Government: From Vision to Implementation Examples of AI already being used in public services
Roadmap for AI-Enabled Governance Steps needed to expand AI use in government systems

Key Takeaways from Speakers

  • Officials stressed that AI tools in healthcare must be tested carefully before large-scale use
  • Industry representatives noted that regions investing in technology and research are seeing faster innovation
  • Healthcare experts highlighted the importance of reliable data and professional oversight
  • University leadership pointed to collaboration as the main requirement for long-term progress

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