Science & Tech · AI · 1 hr ago
Experts say healthcare AI needs clinical validation and data safeguards
Experts in Chennai said AI could improve disease detection and access to care during a discussion on healthcare technology.
They said AI tools could help screen for conditions such as tuberculosis and cancer, and flag urgent cases for faster attention.
A study in six Tamil Nadu districts found AI could help reach more people through TB screening, especially where specialists are scarce.
Speakers also said smartphone-based screening could help identify possible oral cancer and refer people to specialists.
They said AI should support, not replace, doctors, who need to explain diagnoses and help patients make decisions suited to their circumstances.
Clinical validation, data safeguards and medical staff training are needed before AI is used safely in healthcare.
The speakers noted that India has data protection and medical device rules, but said clearer safeguards for healthcare AI are needed.
Experts said healthcare AI can improve disease detection, expand access and reduce diagnostic costs.
They said adoption must be supported by clinical validation, data protection and human oversight.
Panellists described uses including medical imaging, cancer screening, hospital triage and follow-up care for chronic conditions.
They also said doctors need to understand AI’s limits and patient information must not be shared indiscriminately.
- Who
- Experts speaking at a panel discussion, including clinicians and healthcare technology leaders.
- What
- They discussed the benefits and risks of using artificial intelligence in healthcare, calling for clinical validation, data safeguards and human oversight.
- When
- October 13, 2026.
- Where
- Chennai, India.
- Why
- The panel examined how healthcare AI could support diagnosis and access while addressing its limitations, privacy and ethical concerns.
This story does not have two clearly opposing sides.
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- Event
- Sustainability Dialogues 2026 panel discussion
- Date
- October 13, 2026
- Location
- Chennai
- TB screening study
- Six districts of Tamil Nadu
- Cancer screening
- Less than 1% of the population was screened for cancer
What people are saying
What I have observed through my research is that AI is helping reach larger populations, particularly in areas where there is a severe shortage of radiologists and other specialists.
A human has to tell a human,
patient information could not be shared indiscriminately with AI systems.








