Leading radiology providers in India embrace AI technology: Understanding the Shift

• Apollo Radiology International (ARI): ARI is a global leader in teleradiology, offering 24/7 subspecialty radiology reporting by 200+ radiologists across 32 countries. Reporting over 2 million scans annually and serving 200 healthcare organisations globally, ARI relies on AI to help prioritize critical cases such as abnormalities on chest X-rays and CT brain scans. Backed by technology, urgent findings reported in one country could reach the other end of the globe as seamlessly and swiftly as it would in the same hospital! Dr Sreenivasa Raju Kalidindi, ARI’s Global CEO & Medical Director, notes, “By adopting Harrison.ai’s proven solutions for CXR and CT Brain scans, we have enhanced our ability to triage critical cases faster and support our radiologists with deeper insights.”
• Manipal Hospitals: With 49 hospitals across 24 cities serving nearly 8 million patients annually, Manipal Hospitals' chest X-rays account for more than half its imaging workload. At scale, the risk is less about catastrophic errors and more about missing subtle findings during long shifts. Harrison.ai solution detects up to 124 findings, thus augmenting rather than replacing clinical judgement. Dr Sudarshan Rawat, Head of Department at Manipal Hospitals, explains, “Harrison's AI-assisted reporting functions as a second reader, making sure even the most subtle findings are not missed, while helping us deliver timely reports to patients.”
• Aarthi Scans & Labs: Serving over 7,000 patients every day across a vast outpatient imaging network that includes Tier 2 and Tier 3 cities, Aarthi Scans faces challenges common to smaller centers without the infrastructure of large metropolitan hospitals. An Australian CT Brain solution helps standardize care quality by prioritizing critical cases such as stroke indicators, acute hemorrhage, and obstructive hydrocephalus enabling quicker intervention by radiologists regardless of the scan’s location. Dr Arunkumar Govindarajan of Aarthi Scans & Labs shares, “Harrison's AI-powered solution not only accelerates the diagnostic process but also enhances the accuracy and efficiency of our reporting, ultimately leading to better patient outcomes.”

• Comprehensive diagnostic coverage: AI tools need to be backed by technology that is capable of detecting a broad range of radiological findings across multiple imaging modalities, thus avoiding any gaps in clinical detection.
• Seamless workflow integration: AI must integrate smoothly with existing Picture Archiving and Communication Systems (PACS), Radiology Information Systems (RIS), and reporting platforms to avoid disrupting clinical workflows. This is a critical requirement in India’s busy healthcare settings.
• Proven operational reliability: AI solutions must demonstrate dependable performance at scale backed by clinical validation. By and large AI solutions with a global track record with local regulatory standing gain trust among clinicians and administrators.