Transforming GI care with AI for Endoscopic Ultrasound

A real-time AI assistant delivering instant interpretation of ultrasound video for improved diagnostic accuracy and enable advanced therapeutics.

The Problem
Accurate and timely diagnosis and advanced surgery alternatives rely on EUS interpretation
Deadliest Cancer by 2030
Pancreatic cancer will be 2nd deadliest cancer in U.S. and Europe by 2030.
Late-stage Diagnosis
80% of patients are diagnosed too late for surgery.
Complex interpretation
Endoscopic Ultrasound (EUS) requires special training and expertise to interpret ultrasound images.

EUS is the key to both accurate, timely diagnosis as well as new cutting edge therapeutics such as RFA and localized radiation. Yet it remains hard to interpert and heavily operator dependant.

A real-time AI assistant for endoscopists
Delivering instant interpretation of the ultrasound video to improve diagnostic accuracy and patient outcomes.
Improve biopsies intake
AI-guided identification of optimal biopsy sites improves sample quality and diagnostic yield.
Enable cutting edge therapeutics
Advanced visualization and real-time guidance for complex endoscopic procedures and interventions.
Expand access to crucial care
Enabling more endoscopists to perform accurate EUS, bringing specialized care to patients everywhere.
Meet Our Team
World-class experts in gastroenterology and technology

Tom Konikoff, MD
Inventor & Advisor
Postdoctoral research fellow, Mayo Clinic. Early detection of GI malignancies, Gastroenterology, Rabin Medical Center. Faculty of Medical & Health Sciences, Tel-Aviv University.

Steven Shamah, MD
Inventor & Advisor
Former chairman of the endoscopy committee for Israel's Gastroenterology Association. Acting chief of endoscopy at Lenox Hill Hospital, Manhattan Campus of Northwell Health.

Tamar Rucham
CEO
Experienced Tech Leader. MSc in Math and Computation from Harvard. Proven track record building teams and products from scratch.
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