News | Ultrasound Imaging | September 23, 2019

AI2 Incubator delivers deep learning and computer vision technology on limited hardware capacity to enable new levels of ultrasound detection

Fujifilm Sonosite Partnering With Artificial Intelligence Incubator to Improve Ultrasound Image Interpretation

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.”

For more information: www.sonosite.com, www.incubator.allenai.com


Related Content

News | Ultrasound Imaging

June 3, 2025 — In a collaborative study between the Departments of Radiology at the Children’s Hospital of Philadelphia ...

Time June 04, 2025
arrow
News | Breast Imaging

June 2, 2025 — Clairity, Inc., a digital health innovator advancing AI-driven healthcare solutions, has received U.S ...

Time June 02, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

Hyperfine, Inc., producer of the world’s first FDA-cleared AI-powered portable MRI system for the brain — the Swoop ...

Time May 29, 2025
arrow
News | Imaging Software Development

May 27, 2025 — DeepLook Medical, a company advancing medical imaging through visual enhancement technology, recently ...

Time May 28, 2025
arrow
News | Imaging Software Development

May 20, 2025 – Intelerad, a provider of medical imaging software solutions, recently announced its prime partnership ...

Time May 21, 2025
arrow
News | Teleradiology

May 21, 2025 — Konica Minolta Healthcare Americas, Inc and NewVue have announced the introduction of Exa Teleradiology ...

Time May 21, 2025
arrow
News | Breast Imaging

May 13, 2025 — In one of the larger studies of its kind, researchers have identified six breast texture patterns that ...

Time May 16, 2025
arrow
News | Computed Tomography (CT)

May 15, 2025 — GE HealthCare has launched CleaRecon DL, technology powered by a deep-learning algorithm, to improve the ...

Time May 15, 2025
arrow
News | Radiation Oncology

May 2, 2025 — GE HealthCare has announced an intended expansion of its radiation oncology portfolio as well as the ...

Time May 03, 2025
arrow
News | Cardiac Imaging

April 30, 2025 – Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, has launched Viz ...

Time May 02, 2025
arrow
Subscribe Now