September 23, 2019 — Fujifilm SonoSite Inc. and the Allen Institute of Artificial Intelligence (AI2) Incubator, builder of AI-first startups, announced a collaboration to interpret ultrasound images with AI, enabling new ultrasound applications and enhanced accuracy. Fujifilm SonoSite has enlisted assistance from the AI2 Incubator to deploy deep learning models on portable ultrasound products. Together, the AI2 Incubator and Fujifilm SonoSite will work to improve image analysis, allowing for the interpretation of a much wider range of ultrasound scenarios.
Within the field of medical imaging, deep learning-based techniques have brought breakthroughs across a wide range of scenarios, including detecting tuberculosis (TB) in X-ray scans and diagnosing metastatic breast cancer in pathology slides. Compared to other modalities such as X-ray, computed tomography (CT) and positron emission tomography (PET), ultrasound is more affordable, portable and does not expose patients to ionizing radiation. Ultrasound’s comparative disadvantage was traditionally its lower image quality. While great improvements have been made over the past two decades, deep learning algorithms now stand to significantly increase both the accuracy and rapid assessment ability of ultrasound technology.
“In tackling this challenge, we are pushing deep learning, computer vision and medical imaging into uncharted territory,” said Vu Ha, Ph.D., technical director at the AI2 Incubator. “In building new AI-based capabilities in affordable ultrasound devices, we hope to bring them to underserved markets to improve healthcare around the world.”