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RedBrick AI raises US$4.6M to accelerate the development of healthcare AI
RedBrick AI is building the foundation of healthcare artificial intelligence (AI) with its medical data annotation tools for imagery
RedBrick’s customers annotate hundreds of thousands of medical scans per month
The new funding will be channelled into expanding the company’s suite of specialized tooling, and to grow its customer base
Michigan, US and Pune, India – 23 November 2022; Health-tech AI platform RedBrick AI is today announcing a US$4.6M seed funding round to accelerate the development and adoption of artificial intelligence in clinical settings, through rapid data annotation on medical imagery. The round was led by Surge, Sequoia Capital India, and Southeast Asia’s rapid scale-up program, with participation from Y Combinator and angels.
Medical imagery is an essential source of truth in clinical diagnosis and comprises about 90% of all healthcare data. AI systems can dramatically shorten the time to diagnosis, improve clinician productivity by triaging high-importance cases, and act as the first line of defense in under-staffed clinical environments.
Researchers and healthcare institutions are increasingly investing in AI solutions to improve diagnostics, treatment and patient quality of care. The use of AI in healthcare stands to transform patient care by boosting clinician productivity and automating clinical diagnosis. In 2021 alone, the U.S. Food and Drug Administration (FDA) approved 115 AI algorithms for use in medical environments, an 83% increase from 2018.
However, researchers cannot use medical images to train AI systems until they are cleaned and expertly annotated. Training an AI system also requires hundreds of annotated medical images and thousands of hours of annotation by clinicians. Due to the complexity, size, and unique nature of medical images, clinicians have to resort to traditional and difficult-to-use clinical…
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