Stanford University and VinBrain have inked a deal to design a state-of-the-art artificial intelligence (AI)-enabled platform to advance medical diagnosis and treatments.
In a statement, VinBrain said Stanford University and VinBrain have signed a data use agreement to improve the precision of radiology interpretation using a multi-modal “RadGraph” method.
According to the statement, to design a state-of-the-art AI-enabled platform for more accurate diagnosis and treatments, a tremendous amount of geographically distributed data, medical images, and patient medical records are required for system training.
The DUA grants Stanford University and VinBrain the collaborative power to improve
efficiency in radiology reports and advance AI in healthcare by sharing relevant de-identified data for model training and testing, while tackling complexity, ambiguity, and limitations in medical image interpretation.
Starting with 240,000 anonymized medical images and report pairs provided by Stanford through this DUA, VinBrain will work to improve the accuracy of the RadGraph method through a research collaboration with Stanford to extract clinical entities and relation annotations from a large dataset of full-text radiology reports.
With this strong support from Stanford, VinBrain aims to raise the bar for research on AI solutions by collaborating beyond Vietnam to improve product quality, meanwhile, continuing to add and develop the most massive data source in Vietnam to date, with more than 2.3 million images being analyzed through the DrAid™ platform so far.
VinBrain Chief Executive OFficer Steven Truong said VinBrain always strictly adheres to data security regulations according to United States standards.
He emphasized that Stanford sharing data with VinBrain demonstrates Stanford’s absolute trust in VinBrain’s commitment to data privacy and security.
“The DUA signed with Stanford University is not an overnight result but a long journey of 3+ years of collaboration,
“This collaboration has produced many research projects together that have achieved desirable clinical outcomes,” he added.
Professor Curtis Langlotz, Director of the Center for Artificial Intelligence in Medicine and Stanford University, also expressed his enthusiasms.
““I remember the first time I met Steven at RSNA Spotlight organized by Stanford near San Francisco Airport. It was the beginning of this wonderful relationship that developed over time,
“We appreciate VinBrain’s leadership in research and the capabilities that they have. The speed of work is incredible, and I also appreciate the collaborative spirit of VinBrain,” He said.
“I know that we’ve done a lot, but there’s still a lot more to do. I look forward to continued collaborations. I’m glad we sat down together to sign this agreement,” he added.
This Agreement promises to comprehensively expand cooperation in the next areas of
development, strengthen the relationship between VinBrain and the world’s leading University, and take VinBrain further in the research of AI-developed solutions for worldwide patients.
According to the statement, RadGraph is a novel method introduced by Prof. Pranav Rajpurkar (Harvard University) and Prof. Curtis Langlotz at Stanford.
This collaboration works between Stanford University and VinBrain to address complexity, ambiguity, and limitations for interpreting medical images.
Meanwhile, DrAid™ is a platform of comprehensive AI doctor assistant software developed by VinBrain to assist medical teams and doctors in diagnosing heart, lung, liver, and bone diseases based on digital medical images.
The platform is evaluated to have superior efficiency compared to traditional methods in observing and analyzing medical images, helping in reducing overload and improving early detection in diagnosis.
DrAid Radiology V1, on the other hand, is an AI-enabled triage and notification software designed to aid the clinical assessment of adult Chest X-ray cases with features suggestive of pneumothorax. This software is FDA 510(K) cleared and apt for the United States market.
DrAid™ Appliance is an AI-enabled system to classify an adult Chest X-ray between
normal and nearly 60 abnormal findings with higher-than-average quality standards of primary care physicians.
VinBrain is a leading AI healthcare products company, funded by Vingroup, the largest conglomerate by market capitalization in Vietnam. Its mission is to infuse AI and internet of things (IoT) to improve people’s lives and productivity.
Keyword: Stanford University partners VinBrain to design AI-enabled platform to advance medical diagnosis and treatments