StopDownOpen the app

Analysis · Healthcare & Life Sciences

Healthcare AI shifts to clinical deployment

By ·

Date
Company
Qure.ai
What it does
AI for medical imaging
Kind
Analysis
Sector
Healthcare & Life Sciences

What they do

Qure.ai uses AI to analyse medical images like CT scans and X-rays

What happened

The story is about the broader shift in India's healthcare AI from building models to integrating them into real clinical workflows

Why it matters

AI is now helping triage patients, draft reports, and reduce turnaround times, but adoption faces barriers like data fragmentation and clinician resistance

The details

  • India's healthcare AI sector is moving from building models to deploying them in real clinical settings.
  • AI in healthcare often works as an add-on rather than actively participating in clinical workflows.
  • There is a whitespace in risk triaging before patients reach specialists.
  • Hospital-centric AI misses large populations that never enter formal care systems.
  • AI innovation is concentrated in high-resource environments, but the biggest challenges are at the first point of care.
  • Clinical AI is the most complex problem because medical treatments are designed for administration by professionals.
  • The challenge is getting AI good enough to consistently rely on in clinical practice.

The bigger picture

  • India has an allopathic doctor-population ratio of 1:1200, below the WHO recommended 1:1000.
  • The ratio is based on 80% availability of ~13.88 lakh registered allopathic doctors for a population over 1.4 billion.
  • This shortage drives the need for AI to extend clinician reach and improve efficiency.

About the business

  • Qure.ai uses AI for medical imaging, such as detecting abnormalities in CT scans and X-rays.
  • In Punjab, Qure.ai's AI integrated into stroke workflows reduced turnaround time by 85%.
  • Remidio's eye screening programme in Kerala found that nearly 99% of diabetic retinopathy cases detected were previously unknown to patients.
  • DeepTek AI combines platform infrastructure, multiple AI integrations, and reporting workflows.
  • Hospitals can use AI to triage scans, prioritise critical cases, and generate draft reports.
  • AI is not replacing pathologists but transforming microscopic review by pre-classifying samples and flagging abnormalities.
  • AI supports doctors across the care journey, including symptom triaging, drafting prescriptions, and follow-up communication.
  • AI agents are taking over coordination-heavy layers like discharge planning, insurance workflows, and patient communication.
  • AI and digitisation enable remote diagnostics, connecting smaller centres with specialist expertise.

Founders

  • Ankit Modi, founding member, chief strategy and growth officer at Qure.ai

Read it as a card in the app

Same day

All startup news on 1 April 2026 →