Manipal Hospitals has become one of the first major Indian hospital chains to deploy Harrison.ai’s chest X-ray AI solution as part of its ongoing commitment to AI-enabled diagnostics. The technology, integrated into the radiology workflow at several flagship facilities including Manipal Hospitals Bengaluru, Delhi, and Goa, assists radiologists by automatically analysing chest radiographs and highlighting potential abnormalities in real time.

Harrison.ai’s model is trained on one of the largest and most diverse chest X-ray datasets globally, with additional fine tuning on Indian patient images to ensure relevance to local disease patterns particularly tuberculosis, pneumonia, and cardiothoracic conditions prevalent in the region. The system detects and classifies a wide range of findings, including consolidation, cavitation, pleural effusion, pneumothorax, lung nodules/masses, cardiomegaly, and signs of pulmonary oedema, assigning priority levels to urgent cases for immediate radiologist attention.

The AI operates as a second reader and triage tool: it processes images as soon as they are acquired, overlays heatmaps and annotations on the original X-ray, and routes high-priority cases to the radiologist queue. Routine normal or low-probability studies can be fast-tracked for quicker sign off. Early internal data from Manipal shows average reporting time for non-urgent cases dropping by 40–60%, with improved detection of subtle or early stage findings that might otherwise be missed in high volume reporting environments.

Dr. Anand Venugopal, Group Medical Director at Manipal Hospitals, noted: “In busy radiology departments, time is critical. Harrison.ai’s tool acts as a reliable assistant catching urgent cases faster and allowing our radiologists to focus on complex interpretations. The accuracy we’ve seen in real-world Indian patients is impressive, especially for TB and pneumonia, where early detection saves lives.”

The deployment is part of Manipal’s broader digital transformation strategy, which includes AI adoption across imaging, pathology, and clinical decision support. The hospital chain has been piloting multiple AI tools over the past two years and selected Harrison.ai for its strong performance on Indian datasets, regulatory clearances (CDSCO approval), and seamless integration with existing PACS/RIS systems.

The partnership also includes ongoing collaboration on model refinement using anonymised Manipal data to further improve performance on regional disease patterns and co-develop India specific validation studies. Harrison.ai’s chest X-ray solution is already in use in several countries and has WHO endorsed validation for TB screening, adding credibility to its rollout in India.

As India continues to expand TB screening, diabetes-related complications monitoring, and emergency radiology services, AI tools like this are expected to play a pivotal role in scaling diagnostic capacity without proportionally increasing radiologist workload.