AI-Enabled Stroke Network Cuts Diagnostic Turnaround Time by 85 Percent, Qure.ai Report Finds

Across Maharashtra, Karnataka, Goa, Punjab and other states, public health agencies have integrated AI into routine imaging and emergency care pathways.

AI screening has reduced diagnostic turnaround time by up to 85 percent in public healthcare settings, according to a new report released by healthtech startup Qure.ai.

The report, AI in Action: Transforming Health Outcomes Across India's Care Spectrum, outlines how artificial intelligence is being deployed at scale across India’s public healthcare system to address lung cancer and acute neurological conditions, alongside large public health screening efforts.

Drawing on evidence from state-wide deployments, public health programmes and clinical studies, the report examines how AI integrated into routine workflows can support faster diagnosis, reduce system-level delays and improve access to timely care without adding cost or operational complexity for patients or providers.

Across Maharashtra, Karnataka, Goa, Punjab and other states, public health agencies have incorporated AI into imaging and emergency care pathways.

In Punjab, a state-supported hub-and-spoke stroke network reduced diagnostic turnaround time by up to 85 percent, including in district hospitals.

In Maharashtra, AI-enabled incidental screening across public and private facilities contributed to an estimated 35 percent increase in detection rates, including among asymptomatic patients undergoing X-rays for unrelated reasons.

In Karnataka, a government-led partnership enabled the incidental detection of over 6,400 cases alongside high-risk lung nodules through a single AI-driven workflow. In Goa, a statewide deployment screened over one lakh routine chest X-rays, resulting in 20 confirmed lung cancer diagnoses through structured referral pathways.

The report also documents AI deployment during the Maha Kumbh Mela, where AI-powered chest X-ray analysis was used for rapid surveillance in a high-density setting.

The system flagged abnormalities in 36 percent of X-rays, enabling early identification and triage of presumptive cases.

Speaking at the launch, Ankit Modi, Founding Member and Chief Strategy and Growth Officer, Qure.ai, said, "What this report shows is not just where AI has been deployed, but where public healthcare is headed. Through state partnerships, AI is moving from being an intervention to becoming part of the system itself, built into how screening, surveillance, and emergency care are delivered. As these models scale, AI has the potential to consistently shift detection earlier, reduce delays across care pathways, and make continuity of care the default rather than the exception, using infrastructure that already exists."

The report was unveiled at the India AI Impact Summit.

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