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Health-tech AI platform RedBrick AI has raised $4.6 million in a Seed funding spherical to speed up the event and adoption of synthetic intelligence in scientific settings, by speedy information annotation on medical imagery. The spherical was led by Sequoia India and Southeast Asia’s Surge, with participation from Y Combinator and angels. The fund raised can be used for the expansion of the engineering group in India and to increase the suite of merchandise.
“With the rapid growth of artificial intelligence in clinical settings, researchers need excellent tools to build high-quality datasets and models at scale. Our customers are in the vanguard of this growth, pioneering everything from surgical robots to automated detection of cancers. The new funds will be integral to the growth of our engineering team in India and to expand our suite of products. We’re incredibly excited to be powering the next generation of researchers in building AI for clinical settings,” stated Shivam Sharma, co-founder and CEO, RedBrick AI.
Medical imagery is an important supply of reality in scientific prognosis and contains about 90 per cent of all healthcare information AI methods can dramatically shorten the time to prognosis, enhance clinician productiveness by triaging high-importance circumstances, and act as the primary line of protection in under-staffed scientific environments. RedBrick AI’s instruments tackle a number of challenges distinctive to medical information annotation, such because the complexity of present annotation instruments, high quality management and machine studying integration. The platform’s specialised annotation instruments could be accessed by the browser and are designed for use with out prior coaching. Its API additionally helps machine studying engineers combine with their cloud and scientific information shops, for instance, AWS or hospital enterprise PACS servers, stated the corporate in an announcement.
Founded in 2021 by Shivam Sharma and Derek Lukacs, the RedBrick AI is a SaaS platform that gives high-performance net annotation instruments for 2D and 3D information to present specialists entry to specialised tooling proper from their browsers.
Researchers and healthcare establishments are more and more investing in AI options to enhance diagnostics, therapy, and affected person high quality of care. The use of AI in healthcare stands to remodel affected person care by boosting clinician productiveness and automating scientific prognosis. In 2021 alone, the U.S. Food and Drug Administration (FDA) authorized 115 AI algorithms to be used in medical environments, an 83 per cent enhance from 2018, the assertion added.