Yashoda Hospital, Hitech City, has introduced an advanced AI-powered Lung Nodule Clinic designed to enhance early detection of lung abnormalities in India, where lung cancer continues to be a major cause of cancer-related deaths. Many individuals in the country are diagnosed only after the disease progresses, largely because early-stage lung cancer often presents without symptoms and can be overlooked during routine imaging. With India lacking a national screening program for high-risk groups, structured imaging pathways have become increasingly important.
Pulmonary nodules can be difficult to detect due to their varying size, density, and location. To address this challenge, Yashoda Hospital’s new clinic incorporates Qure.ai’s artificial intelligence solutions directly into chest X-ray workflows. The system automatically highlights potential nodules, assesses risk, and ensures consistent monitoring. These nodules may indicate early lung cancer or other conditions such as tuberculosis, sarcoidosis, or lymphoma. By offering a systematic, AI-supported approach, the clinic helps clinicians prioritise higher-risk cases and improve follow-up accuracy.
“This program shows how AI can be integrated into clinical workflows to support earlier identification and structured management of lung disease,” the hospital’s statement noted. “The pathway ensures that incidental findings are consistently tracked and followed up. Embedding AI into routine workflows has helped Yashoda Hospital create a scalable model for proactive lung health. This shows how coordinated use of data and clinical expertise can improve real-world diagnosis and outcomes.”
A nurse navigator model complements the system, guiding patients from the initial AI alert through counselling, evaluation, and further investigations when needed. “Standardised workflows help avoid delays and ensure consistent communication and documentation,” another representative added.
Since the AI system was introduced, more than 17,000 chest X-rays at Yashoda Hospital have been analysed. The program has flagged over 960 nodules, with 136 categorised as high risk. Seventy-seven patients were subsequently directed for rapid CT scans and detailed pulmonology assessments. Diagnoses confirmed through this pathway include lung cancers and several other significant lung diseases, demonstrating the broad clinical value of the model.
“AI is becoming an important part of how health systems strengthen early diagnosis and reduce the burden of late stage lung disease,” a spokesperson from Qure.ai said. “By integrating intelligence into routine imaging, hospitals can turn everyday X-rays into an opportunity for earlier detection and more coordinated care. The Lung Nodule Clinic at Yashoda Hospital is a strong example of how technology and clinical expertise can work together to create a more proactive approach to lung health.”