Despite the immense potential of AI to improve patient outcomes, widespread adoption in clinical settings has been hindered by:
WaveBase breaks through these barriers with a universal AI platform that is vendor-agnostic, user-friendly, and data-driven:
As an AI Advisor to WaveBase from 2020-2023, I had the privilege of contributing to their mission at a pivotal stage. My work focused on:
In an ongoing study at London Health Sciences Centre, WaveBase is being used to identify lung abnormalities in critically ill patients with unprecedented speed and precision.
"We see a bright future for lung ultrasound imaging with AI within the critical care environment. We are trying to write the first chapter of this meaningful AI story here at LHSC and Lawson."
- Dr. Robert Arntfield, London Health Sciences Centre
Early results suggest that WaveBase is enabling AI that can detect signs of conditions like pneumothorax, pulmonary edema, and pneumonia with the same accuracy as trained experts. By putting this power into the hands of frontline staff, WaveBase could dramatically improve time to treatment for the most vulnerable patients.
WaveBase's technology has been validated in a growing body of peer-reviewed research:
By providing an accessible platform for real-time data collection and model refinement, we are accelerating the pace of translational research in AI for point-of-care ultrasound.