New Delhi

Artificial intelligence (AI)-powered medical imaging solutions developed by Qure.ai are helping improve early detection and diagnosis of diseases such as tuberculosis, lung cancer, oncology and cardiology conditions, impacting around 40 million people across more than 100 countries, said Ankit Modi, Founding Member and Chief Product Officer of the company.

Speaking to ANI during an exclusive interaction at the AI Impact Summit in Delhi, Modi said Qure.ai was showcasing its global healthcare impact and engaging in discussions on international collaborations aimed at strengthening population-level health screening.

“We build AI solutions for medical imaging across oncology, cardiology, tuberculosis and several other disease areas. At the summit, we are showcasing the impact we have created for 40 million people across more than 100 countries,” Modi said. He added that the company also organised a panel discussion that brought together senior policymakers, including the CEO of India’s National Authority and the Chief of the Africa Centres for Disease Control and Prevention, to discuss learnings from population-level projects implemented by Qure.ai in both India and Africa.

Modi underlined the role of AI in enabling early disease detection through medical imaging, particularly chest X-rays. He explained that AI systems can flag early signs of disease and enable timely intervention, which is critical in densely populated settings where infections can spread quickly.

Citing the example of the Mahakumbh, Modi said Qure.ai deployed AI-based screening solutions during the event. While a large number of chest X-rays were conducted due to cold and pneumonia-like symptoms, AI analysis showed that nearly three per cent of the scans also indicated signs of tuberculosis.

“Early detection through AI-based surveillance helped identify TB cases quickly, which is vital in crowded environments where the disease can spread rapidly,” he said, adding that this demonstrated the potential of AI to strengthen public health surveillance and disease control.

Modi also referred to a population-level screening initiative undertaken by Qure.ai in Goa, aimed at identifying early signs of lung cancer. He said that while chest X-rays were already in use, the integration of AI enabled more efficient detection of early indicators of the disease.

According to him, the use of AI alongside chest X-rays reduced diagnosis time by nearly 50 per cent, allowing faster treatment and improved health outcomes.

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Summing up, Modi said AI-driven medical imaging is playing a transformative role in early detection, faster diagnosis and improved healthcare delivery across regions, benefiting millions of people worldwide. He added that initiatives in India and Africa highlight the potential of AI in strengthening population-level healthcare systems and improving disease detection and management.