In the ongoing battle against tuberculosis (TB), a revolutionary technology is stepping up—AI-guided point-of-care ultrasound (POCUS). This portable tool, powered by a smartphone and a handheld ultrasound device, is poised to transform diagnosis in underserved regions.
Traditionally, TB diagnosis in India has relied on sputum tests or expert radiology reviews—methods that are often delayed or unavailable in remote settings. But now, thanks to recent breakthroughs, AI can analyze lung ultrasound images on the spot and identify TB faster and more accurately than human experts.
A recent study from Switzerland, presented at the ESCMID Global Congress 2025, showed that this AI system not only meets World Health Organization standards, but actually outperforms specialists in diagnosing TB, especially in areas with limited medical access.
India, which carries the world's highest TB burden, stands to benefit immensely. Similar technologies, like Qure.ai’s AI chest X-ray tool deployed in Nagaland, have already shown success in speeding up diagnosis and improving access to care in challenging terrains.
By combining accessibility, precision, and speed, AI-guided POCUS holds the promise to transform TB care in India—bringing expert-level diagnostics to the frontlines and saving lives where it matters most.