3d-ultrasound
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Tri Vu
Tri Vu is the co-founder and CEO of Lumius, a Durham, North Carolina medical imaging startup building fast, smart, accessible 3D ultrasound - what the team calls a 3D camera for the body. A Duke-trained biomedical engineer with a doctorate in ultrasound and photoacoustic imaging and more than 1,900 research citations, Vu left an academic track to turn a decade of imaging research into a device clinicians actually want to pick up. Lumius went through Y Combinator's Spring 2026 batch and is starting with vascular access, where roughly half of first attempts fail.
Lumius
Lumius is a Durham, North Carolina medical device company building a fast, affordable, real-time 3D ultrasound system - a '3D camera for the body.' Founded by three Duke PhDs, it replaces the flat 2D slices clinicians must mentally stitch into anatomy with a live volumetric view and AI that flags vessels, nerves, and muscle. The company starts with vascular access and central line placement, where roughly half of first attempts by newer clinicians fail, and plans to expand into clot detection, nerve blocks, tumor diagnosis, and biopsy guidance.
iSono Health
iSono Health builds ATUSA, an FDA-cleared wearable 3D ultrasound platform that scans both breasts in about two minutes without a specialized sonographer. The South San Francisco startup uses AI to make breast imaging portable, reproducible, and accessible at the point of care.
Neda Razavi
Neda Razavi is the CEO and Chairwoman of the Board at iSono Health, a South San Francisco medtech company building the world's first wearable, automated, portable FDA-cleared 3D breast ultrasound system. With 25 years of experience launching 65 products across six global platforms and generating over $9 billion in cumulative revenue at companies including Abbott, Roche, Medtronic, and Natera, Razavi joined iSono Health as an early investor and advisor before taking the helm in November 2023 to lead commercialization of the ATUSA system — a 2-minute, hands-free breast imaging device that pairs robotics, AI, and cloud analytics to make early breast cancer detection accessible to OB/GYNs and primary care providers without requiring a trained sonographer.