AI can assist in the early detection of TB and lung cancer by flagging signs on chest X-rays and suspicious nodules on CT scans, helping prioritize patients for further testing and ensuring timely investigations.

Former AIIMS Director Dr. Randeep Guleria underscored that AI-powered imaging tools can identify suspicious abnormalities, guiding patients toward prompt confirmatory tests and treatment.”

Overall, AI paired with clinical expertise could significantly boost TB and lung cancer detection, expanding the reach and efficiency of screening programs across India.

The conference stressed turning AI advances into practical, accessible solutions for patients across India.

NAPCON 2026 emphasized that AI should support, not replace, clinical judgment and standard diagnostic procedures, with rigorous validation and professional interpretation essential.

Note: the article is syndicated and AI-refined for readability and did not undergo human editorial review.

Experts noted AI tools must integrate with infrastructure, affordability, training, verification in Indian populations, and clear pathways to diagnosis and treatment.

AI should be validated, used responsibly, and interpreted by trained healthcare professionals to ensure accurate and beneficial outcomes.

AI-powered screening could broaden access in underserved areas and mobile programs, addressing gaps where expert interpretation is limited.

At the 28th Joint Annual National Conference of NCCP-I and ICS in Jaipur (Oct 22–25), more than 2,000 pulmonologists and healthcare professionals discussed AI’s role in respiratory disease management.

Early identification and rapid referral enabled by AI could cut diagnostic delays if a reliable system links screening to confirmatory tests and timely treatment.

World Health Organization has endorsed computer-aided detection software as an option for TB screening in appropriate populations, reinforcing its relevance in India’s high TB burden.