GE HealthCare Accelerates AI Innovation with Healthcare-Specific Foundation Models Powered by NVIDIA
March 18 2024 - 6:00PM
Business Wire
- Using NVIDIA Technology, SonoSAMTrack¹ demonstrates its
pliability and applicability in ultrasound image segmentation,
consistently delivering high-quality results over a wide range of
demanding datasets and conditions
Building on a long-term artificial intelligence (AI)
collaboration, GE HealthCare used NVIDIA technology to develop its
recent research model SonoSAMTrack1, which combines a promptable
foundation model for segmenting objects on ultrasound images called
SonoSAM1. SonoSAMTrack focuses on segmenting anatomies, lesions,
and other essential areas in ultrasound images. SonoSAMLite is a
streamlined version of SonoSAMTrack.
“GE HealthCare is committed to investing in innovative
technologies that help tackle some of the industry’s biggest
challenges. Our vision is to accelerate advancements in medical
imaging by introducing foundational AI technologies, thereby
empowering data scientists to expedite AI application development
and eventually help clinicians and enhance patient care. By
utilizing these versatile, generalist models, we aim to adapt more
efficiently to new tasks and medical imaging modalities, often
requiring far less labeled data compared to the traditional model
retraining approach. This is particularly significant in the
healthcare domain, for which data is especially time-consuming and
costly to obtain,” said Parminder Bhatia, Chief AI Officer, GE
HealthCare.
In healthcare, leveraging AI to enhance patient care, streamline
operational efficiencies, and make informed decisions has become
increasingly important. Traditionally, the approach to integrating
AI into healthcare systems required the retraining of models to
accommodate the unique requirements of different patient
populations and hospital settings. This conventional method can
lead to heightened costs, complexity, and the need for specialized
personnel, therefore hindering the broad adoption of AI
technologies in healthcare domains. Foundation models have risen to
prominence due to their ability to operate as human-in-the-loop AI
systems, garnering significant attention.
Foundation and generative AI models could play a crucial role by
enabling swift adaptation to various diseases, facilitating
screening, early detection, tracking progression, and identifying
non-invasive biomarkers with minimal training requirements, such as
zero-shot or few-shot settings. In a recent study conducted by GE
HealthCare, its research project, SonoSAMTrack, showcased high
performance across seven ultrasound datasets, encompassing a wide
range of anatomies (adult heart and fetal head) and pathologies
(breast lesions and musculoskeletal pathologies), as well as
different scanning devices. Notably, it outperformed competing
methods by a substantial margin. In addition, SonoSamTrack
exhibited enhanced performance metrics in terms of speed and
efficiency, requiring only 2-6 clicks for precise segmentation,
thus minimizing user input2. This achievement was made possible
through distillation and quantization techniques, utilizing the
NVIDIA TensorRT software development kit and other capabilities for
quantization-aware training.
“Combining NVIDIA’s accelerated computing and AI technology
stack with GE HealthCare’s medical imaging expertise will help
enhance patient care by making ultrasound diagnostics quicker and
more accurate,” said David Niewolny, Director of Business
Development for Healthcare and Medical, NVIDIA. “This collaboration
underscores the importance of using AI for life-saving advancements
and setting new standards in healthcare.”
To learn more about SonoSAM, please visit here.
1 Technology in development that represents ongoing research and
development efforts. These technologies are not products and may
never become products. Not for sale. Not cleared or approved by the
U.S. FDA or any other global regulator for commercial availability.
2 Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Harsh
Suthar, Stephan Anzengruber, Parminder Bhatia, Kass-Hout Taha,
Pavan Annangi. SonoSAMTrack -- Segment and Track Anything on
Ultrasound Images. https://doi.org/10.48550/arXiv.2310.16872
About GE HealthCare Technologies Inc.
GE HealthCare is a leading global medical technology,
pharmaceutical diagnostics, and digital solutions innovator,
dedicated to providing integrated solutions, services, and data
analytics to make hospitals more efficient, clinicians more
effective, therapies more precise, and patients healthier and
happier. Serving patients and providers for more than 100 years, GE
HealthCare is advancing personalized, connected, and compassionate
care, while simplifying the patient’s journey across the care
pathway. Together our Imaging, Ultrasound, Patient Care Solutions,
and Pharmaceutical Diagnostics businesses help improve patient care
from diagnosis, to therapy, to monitoring. We are a $19.6 billion
business with 51,000 colleagues working to create a world where
healthcare has no limits.
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https://www.gehealthcare.com/ for more information.
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version on businesswire.com: https://www.businesswire.com/news/home/20240318340678/en/
Linh Dinh Global Communications Director, Science &
Technology M 408.275.5682 Linh.Dinh@gehealthcare.com
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