Intelliview uses patented AI and augmented reality to map a patient's internal anatomy from a handful of points on the skin, then guides anyone to a specialist-grade trauma ultrasound, right at the point of injury.
Actual headset capture · Intelliview early prototype on Apple Vision Pro
The problem
Every year, people die from injuries no one can see.
A soldier caught in a blast. A driver pulled from a wreck on a rural highway. On the outside, they may look fine. On the inside, they're bleeding. In a hospital, an ultrasound specialist would find it in minutes.
The scannerUltrasound fits in your hand, runs on a phone, and is already in the field.
The scienceeFAST exams find internal bleeding and collapsed lungs in minutes.
The specialistThe years of training it takes to know where to look, and what you're looking at.
The technology
What if anyone could perform a specialist-grade eFAST?
Our patented technology, developed in conjunction with the Johns Hopkins Applied Physics Laboratory, predicts where a patient's organs are from just a handful of points on the outside of the body, then shows that map on the patient through augmented-reality glasses.
01
Mark a few landmarks
The user touches a handful of external points on the patient: shoulders, sternum, hips. No CT scanner, no imaging suite.
02
AI predicts the anatomy
A model trained on hundreds of CT scans predicts the size and position of 66 structures in the chest and abdomen for this specific patient.
03
AR guides the probe
The predicted anatomy appears on the patient, and guides a portable ultrasound probe to exactly the right spot for each view of the exam.
66anatomical structures predicted from surface landmarks
100sof CT scans used to train the prediction model
U.S. Patent 12,582,481Predictive internal anatomy visualization
World Changing IdeaFast Company recognition for the research behind it
In early studies, people with no medical training at all used the system to perform an eFAST exam.
The prototype
From the research lab to the field, on today's most advanced hardware.
The original research ran on HoloLens. We are rebuilding it as a product, starting with an early prototype on Apple Vision Pro. Every image below is captured from the headset.
Intelliview early prototype · Apple Vision Pro · actual headset capture
I mark a few points on the body
A stylus or a pinch tags anatomical landmarks such as the acromion, xiphoid process and hip peaks. Each point turns green as it is confirmed.
The anatomy fits itself to the patient
Registration scales and aligns a full anatomical model to the captured landmarks, so what you see lines up with the body in front of you.
And now I can see what's underneath
An open hand works like a scanner, dissolving the surface to reveal what lies beneath, right where it is.
Skin
Muscle
Bone
Organs
Vessels
Roadmap
Ultrasound in place
Connect the probe so the live image appears exactly where it touches the body.
Built-in telepresence
A physician hundreds of miles away can stand beside the medic and guide the scan.
Markets
Starting where the need is most urgent: trauma.
Military medics
Point-of-injury assessment, where the nearest radiologist may be hours away.
EMS
Know what's bleeding before the patient reaches the hospital.
Disaster response
Triage many casualties when specialists are scarce.
Rural emergency rooms
Specialist-grade imaging without a specialist on site.
From there, the same platform grows into
Obstetrics
Sports medicine
Medical training
Team
Clinical depth, and a track record of shipping.
Sendhil Subramanian, MD
Chief Executive Officer · Co-founder
Interventional radiologist with more than two decades of reading the scans Intelliview teaches anyone to take.
Thirty years turning government research into shipping products, across medical devices, government R&D and enterprise software. EE, University of Michigan. Builder of Intelliview's Vision Pro prototype.
