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AI‑GUIDE portable ultrasound device wins 2026 Excellence in Technology Transfer Award

The Federal Laboratory Consortium honored AI‑GUIDE, a portable AI‑assisted ultrasound system created by MIT Lincoln Laboratory and Massachusetts General Hospital, with its 2026 Excellence in Technology Transfer Award. Funded by the U.S. Army’s Combat Casualty Care Research Program, the project progressed from concept to a working prototype in three years and is now being spun out to AutonomUS…

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Key points

  • AI‑GUIDE won the 2026 FLC Excellence in Technology Transfer Award after three‑year development from Army concept to prototype
  • The portable AI‑driven ultrasound system enables medics to place guidewires and catheters with minimal training in field conditions
  • AutonomUS Medical Technologies will commercialize the device, which already secured FDA Breakthrough Device Designation and an Air Force SBIR grant

AI‑GUIDE combines a handheld ultrasound probe with custom AI software that guides users in inserting guidewires and catheters, allowing medics with limited training to perform vascular access in pre‑hospital environments. The device earned FDA Breakthrough Device Designation and a Small Business Innovation Research grant, and the team is expanding its capabilities to include peripheral‑nerve‑block functions. The award showcases how defense, clinical, and engineering partners can accelerate lifesaving AI technology to both military personnel and civilians.

Full story from MIT News on AI · by Erin Lee | Lincoln Laboratory primary sourceOpen source ↗

Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award

MIT News on AI · 11 September 2026

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This text was published by MIT News on AI and written by Erin Lee | Lincoln Laboratory. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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MIT Lincoln LaboratoryMassachusetts General HospitalAutonomUS Medical TechnologiesAsha RajagopalSamuel KesnerMatt JohnsonLaura BrattainJordan MizerakMelly Coronado

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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