Events

05 Jan 2026 - 21 Jan 2026

The ValiDATAthon India series, held as part of MOOVE India 2026, was a multi-site clinical evaluation of AI-generated clinical recommendations across four institutions: Ashoka University (Delhi NCR), NIMS University (Jaipur), Sankara Eye Hospitals (Bengaluru), and IIIT Hyderabad. The series, running parallel to RAISE 2026 on Responsible AI for Healthcare, aimed to assess the performance of AI tools in real-world clinical settings. Supported by partners like WHO South-East Asia, ICMR-NIRDHS, IndiaAI,KCDH-A, Gates Foundation, National Centre for Biological Sciences, and C-CAMP, among others. Its premise was deliberately modest: not to declare outcomes, but to create the conditions in which clinicians could look carefully  before deciding what comes next.

The first ValiDATAthon series took place at Ashoka University where clinicians looked at AI outputs and examined ideas on trust and commercial systems, which resulted in different opinions about the reliability of both. Similarly, at the next site in Jaipur, clinicians brought their concern over how AI would deal with incomplete clinical information and referred to AI as a useful but not independently trustworthy tool. Finally, in Bengaluru, clinicians had established familiarity with AI tools and had the most thorough evaluations of how trust in AI developed throughout the series. Clinicians were concerned about becoming too reliant on AI and would use caution until they were comfortable using AI. The last site, IIIT Hyderabad, examined various patterns revealed throughout the previous sites highlighting the small but consistent variances found in AI recommendations and the increasing need for continual evaluation around AI Commissioning tools in various settings across India.

All sites viewed AI as a situational trust; therefore, clinicians were primarily concerned about using AI for its performance in complex and rapidly evolving clinical settings. In conclusion, the findings from ValiDATAthon 2026 offer important information about how clinicians will adopt and critically apply AI-assisted commission tools to clinical practice and the need for continued evaluation of AI-assisted commission tools as they become increasingly integrated within clinical practice.