AI-Powered Healthcare

Helping clinicians detect disease earlier, improve efficiency, and deliver a higher standard of care.

Healthcare is changing—and here’s why that’s good news for you.

Healthcare is becoming more connected, more intelligent, and more personalized. Today, AI is already helping clinicians detect disease earlier, make more informed decisions, and improve the way care is delivered.

DeepHealth, RadNet’s digital health business, is helping make this new standard of AI-powered care possible by bringing together imaging, AI, clinical data, and workflows to create more connected, intelligent healthcare experiences for patients, clinicians, and health systems.

A close view of an eye, a brain scan reflected in the iris.

The greatest opportunity in healthcare isn’t simply finding disease—it’s finding it sooner.

Earlier detection creates more opportunities for timely diagnosis, treatment, and better outcomes. AI-powered screening is already helping clinicians identify disease earlier to support more proactive care.

Breast cancer screening is one example of how AI is already helping support earlier disease detection and more personalized care.

21%
increase in breast cancer detection rate
76%
of staged lung cancers found by NHS England lung checks were early stage

Louis, L. et al., Nature Health 1, 58–66 (2026) · Targeted Lung Health Check Programme, final evaluation report, 2024

The innovation flywheel

Powering Care Across RadNet Today

This is not a promise about the future. DeepHealth solutions are at work across RadNet’s 442 imaging centers today, supporting every step of care, from scheduling and patient engagement through image acquisition, interpretation, reporting, and follow-up, and the operations that connect them.

Unlike traditional healthcare technology companies, DeepHealth co-creates its solutions alongside practicing radiologists and validates them within RadNet, one of the world’s largest imaging networks. Prototypes go live in working centers, the clinicians using them say what needs to change, and the fix comes back around.

The same technologies go on to support earlier diagnosis, improved operational performance, and more consistent care for healthcare organizations everywhere.

A patient having a mammogram, the technologist positioning the exam.

Across RadNet

442
imaging centers running it today
12 million+
outpatient procedures a year, the data that sharpens it
1,000+
contracted radiologists co‑creating it in practice

Around the world

2,800+
healthcare organizations worldwide, far beyond RadNet
100+
clinical indications supported by DeepHealth’s regulatory‑cleared AI

AI tools support radiologists and workflow; clinicians make the final diagnosis.

AI is already transforming healthcare. What’s next?

The greatest impact of AI won’t come from solving one problem—it will come from bringing intelligence into every step of care.

As imaging, clinical information, and workflows become more connected, healthcare can become more proactive, personalized, and effective—helping patients receive the right care at the right time while supporting care teams with better information and insights.

What AI-Powered Healthcare Makes Possible

Earlier Answers and Treatment

Helping clinicians detect disease earlier so patients can begin treatment sooner.

See the ASSURE study results

More Confident Care

Giving clinicians the insights they need to make more informed decisions while keeping them in control of every diagnosis.

Reporting Is Where Radiology’s Next Transformation Happens

Better Healthcare Experiences

Helping every step of the care journey—from scheduling and image interpretation to reporting and follow-up—work better together, creating a more coordinated and convenient experience for patients.

Healthcare That Works Better

Helping healthcare organizations improve efficiency, expand access, and deliver consistently high-quality care to more people.

Clinical images from across the DeepHealth AI portfolio — brain, thyroid, breast, chest, prostate, cardiac and colon — set along orbital paths.
For Physicians

Helping clinicians focus on what matters most.

Healthcare professionals face growing workloads and increasingly complex clinical information. DeepHealth technologies help providers detect disease earlier, prioritize critical findings, streamline reporting, and reduce repetitive administrative tasks, from image acquisition through reporting and follow-up.

For Health Systems

Building more connected, intelligent healthcare organizations.

Health systems face workforce shortages, fragmented technology, and rising imaging demand. DeepHealth brings enterprise imaging, AI, workflow automation, and cloud infrastructure together in a unified platform that helps organizations improve efficiency, standardize quality across sites, and expand access to care.