Some of India’s biggest radiology operators have adopted Harrison’s AI. Here’s why.

When Apollo Radiology International, Manipal Hospitals and Aarthi Scans independently arrive at the same AI partner, the decision says something important about where Indian radiology is headed.

India reads more radiology studies each year than almost anywhere else on earth.  Scale is not a future challenge. It is today’s reality. In an environment defined by constant demand, healthcare systems need enterprise-grade AI that has proven it can scale across production environments with the reliability, breadth, and performance required for everyday clinical use.

The country’s AI-assisted radiology market sits at an estimated USD 65 million today. By 2035, analysts project that it will reach USD 1.4 billion, a 32% compound annual growth rate. That trajectory is not speculative ¹. It is already reflected in the purchasing decisions being made by the organisations operating radiology at scale across India. .

And when those operators choose, what they choose matters.

Three operators. Three care settings. One pattern.

What’s striking about Harrison.ai’s presence in India is not simply who the customers are, it’s where they sit in the care delivery landscape. Together, they represent the full spectrum of how radiology is practiced in India: the ICU, the emergency department, the suburban diagnostic centre, and the remote clinic served by a distributed teleradiology hub thousands of kilometres away. Each environment presents different clinical pressures. Each made the same decision to integrate Harrison.ai’s solutions.

Apollo Radiology International (ARI)

Speed across borders

ARI is a leading provider of interpretative and clinical radiological services to a wide network of healthcare providers in India and around the world. ARI provides a 24×7 subspecialty radiology reporting facility led by a team of 200+ ABR, FRCR and Indian-trained radiologists. It operates across 32 countries with reporting hubs in India, the UK, the USA, and the UAE. Its network is projected to report over 2 million scans annually, serving more than 200 healthcare organisations worldwide through a 24/7 distributed model.²

In teleradiology, geography matters. A critical finding in a scan reported by a team in Chennai needs to reach a treating physician in Nairobi or Norwich as fast as it would if the radiologist were sitting in the same building. Harrison.ai’s Chest X-ray and CT Brain solutions are being deployed within ARI’s workflow to surface and escalate potentially critical cases earlier, giving geographically dispersed reporting teams the consistency that distance can otherwise erode.

Manipal Hospitals Hospital network

Volume without compromise

Manipal operates 49 hospitals across 24 cities and serves close to 8 million patients annually. Chest X-rays account for more than half of all imaging across their emergency, ICU, and outpatient departments,making CXR one of the highest-volume workflows in their entire radiology operation.³

At this scale, the risk is rarely a catastrophic failure. More often, it is a gradual drift, where subtle findings are missed on the hundredth scan of a long shift. Harrison.ai CXR is designed to detect up to 124 findings, acting as a second reader to help radiologists identify abnormalities that high volume and fatigue can make easier to overlook. Draft reports are reviewed and validated before sign-off; here the AI augments clinical judgment, it does not replace it.

Aarthi Scans & Labs Outpatient diagnostics

Consistency at depth

Aarthi serves more than 7,000 patients daily across one of India’s most extensive outpatient imaging networks, including centres in Tier 2 and Tier 3 cities, where walk-in referrals and emergency presentations arrive without the infrastructure advantages of a large urban hospital.

Aarthi Scans set out to deliver consistency of care at scale, not only in major metropolitan hospitals but also across centres in Tier 2 and Tier 3 cities. Harrison.ai’s CT Brain solution supports that ambition by helping extend the standard of care typically associated with large tertiary hospitals and specialised centres across Aarthi’s wider network. Harrison.ai’s CT Brain solution assists with prioritisation across Aarthi’s workflow, surfacing critical findings such acute haemorrhage, stroke indicators, and obstructive hydrocephalus enabling radiologists to act on life-threatening cases faster, regardless of where in the network the scan was taken.

Why Harrison.ai holds up under scrutiny

Many AI vendors can claim clinical depth. What distinguishes Harrison.ai in a crowded market is the breadth of what its portfolio covers and the evidence of how it performs when deployed on a serious scale.

• Findings coverage that matches daily practice. Harrison.ai’s three core products, i.e Chest X-ray, CT Brain, and CT Chest*, collectively cover 400+ radiological features across the modalities that account for significant volume of global imaging volume. For radiology operators, that breadth matters: a narrow triage tool that excels at one finding type creates its own blind spots elsewhere.
• Workflow integration that doesn’t create friction. The solutions integrate directly with existing PACS, RIS, and reporting systems . In India, where AI that disrupts clinical workflows simply does not last, this is not a secondary feature, it is the condition under which adoption becomes sustainable.
• A global track record with local regulatory standing. Harrison.ai operates in 40+ countries, across 1,000+ customer sites, used by 3,400+ clinicians; including 58+ NHS Trusts and Health Boards in the UK and 100% of Hong Kong’s public Accident & Emergency Departments. In India, its CXR and CTB solutions holds CDSCO regulatory clearance, backed by local clinical validation and a growing in-country team.

Three of India’s most significant radiology operators: a global teleradiology company, the country’s largest integrated hospital network, and one of its largest outpatient diagnostic chains, each evaluated the available AI solutions independently and reached the same conclusion.

That is not a coincidence. It is the kind of signal that tells the rest of the market something about where the bar actually sits. For radiology practices still evaluating AI adoption, the question has shifted. It is no longer whether to adopt AI. It is which partner has the clinical depth, workflow integration, and operational reliability to support imaging at Indian scale and the evidence to prove it.

Explore how Harrison.ai can support your radiology practice  – Book a meeting now.