Understanding TB with Dr S K Arora : Artificial Intelligence (AI) in Tuberculosis

Can AI Help End TB ?

Key Questions Answered

Q1. What is Artificial Intelligence (AI)?
Answer: Artificial Intelligence (AI) is a technology that enables computers to analyse data, recognize patterns and support decision-making. In healthcare, AI assists doctors in diagnosing diseases more quickly and accurately.

Q2. How is AI helping in the fight against TB?
Answer: AI is increasingly being used to interpret digital chest X-rays, identify people with presumptive TB during screening, support active case finding and help healthcare providers prioritize patients who require urgent evaluation.

Q3. Can AI diagnose TB on its own?
Answer: No. AI is a decision-support tool, not a replacement for doctors. A confirmed diagnosis of TB still requires clinical assessment along with microbiological tests such as sputum examination or molecular testing, as recommended under the National TB Elimination Programme (NTEP).

Q4. What are the major advantages of AI in TB care?
Answer: AI can:
Improve early detection of TB.
Support large-scale community screening.
Reduce reporting time for chest X-rays.
Help monitor treatment adherence through digital technologies.
Assist programme managers in disease surveillance and planning.

Q5. Can AI help India achieve TB elimination?
Answer: Yes. When integrated responsibly into TB programmes, AI can strengthen early diagnosis, improve efficiency and support healthcare workers, particularly in areas where trained radiologists are limited. However, AI should complement—not replace—clinical expertise.

Q6. What are the challenges in using AI for TB?
Answer: Challenges include maintaining data privacy, ensuring high-quality data, validating AI tools in diverse populations, training healthcare workers and ensuring equitable access, especially in rural and resource-limited settings.

Q7. What message would you like to give regarding AI and TB?
Answer: AI represents an exciting advancement in TB care. However, technology is most effective when combined with clinical expertise, laboratory confirmation and compassionate patient-centred care.

   *Conclusion* 

Dr S K Arora states that Doctors Make Decisions and AI Supports Decisions.
Technology plus Human Expertise can lead to Better TB Care.
Together, AI and healthcare professionals can help accelerate India’s journey towards TB elimination.

End Tobacco. → End TB. → Save Lives

Dr S K Arora
WHO Awardee l Senior Chest Specialist I TB Expert I Tobacco Control Advocate

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