How AI Makes MRI Faster and Cheaper With: Emi Gal
Emi Gal, Founder and CEO of Ezra, explains how AI is transforming MRI imaging to make full-body cancer screening faster, cheaper, and more accessible. Traditional MRIs are slow and costly because they require repeated scans to reduce noise. Ezra’s FDA-cleared AI, Ezra Flash, accelerates scan time by denoising and enhancing images, cutting a typical full-body scan to 22 minutes at 9. Another AI, Ezra Assist, helps radiologists with measurements, annotations, and segmentations—reducing repetitive tasks. Finally, Ezra Reporter translates complex radiology jargon into plain English for patients. Together, these tools streamline imaging, reduce costs, and improve patient experience while maintaining safety and regulatory compliance.
Episode Contents:
About the Guest
Emi Gal is Founder, CEO, and CTO of Ezra, a healthtech company revolutionizing cancer screening with AI-enhanced MRI technology. He leads the development of AI-powered MRI solutions that improve accessibility, lower costs, and enhance patient understanding in cancer screening
Key Takeaways
- AI reduces MRI scan time from 45 minutes to 22 minutes
- FDA-cleared Ezra Flash and Ezra Assist improve imaging and radiologist workflows
- Ezra Reporter makes radiology reports understandable for patients
Transcript Summary
How is AI integrated into MRI imaging?
Ezra Flash accelerates scans and denoises images, Ezra Assist aids radiologists, and Ezra Reporter translates reports.
Why does AI matter for MRI?
Without AI, full-body scans would take too long and be too expensive.
What about regulatory approval?
Ezra’s tools are FDA-cleared medical devices, ensuring safety and effectiveness.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.