Whiterabbit.ai
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About
Whiterabbit.ai is dedicated to making late-stage breast cancer a rarity by leveraging AI to detect it at its earliest stages. The platform offers two primary products: WRDensity, an AI-driven breast density software that enhances consistency in density assessment and is RIS/PACS compatible, trained on over 600K images; and WRRisk, a clinical decision support software for breast cancer risk assessment, which is PACS integrated and provides real-time feedback. Whiterabbit.ai has a deep appreciation for clinical operations from its early days of owning radiology sites and collaborates with industry-leading institutions, utilizing a proprietary dataset from over 2 million patients to drive product efficacy and accuracy.
Platform
Features
• clinical decision support
• trained on extensive medical image datasets
• real-time feedback on risk scores
• pacs integrated risk assessment
• breast cancer risk assessment (wrrisk)
• ris/pacs compatibility for density software
• consistent breast density interpretation
• ai-driven breast density assessment (wrdensity)
Job Opportunities
Research Scientist Intern (2025)
Whiterabbit.ai is an AI-driven platform offering comprehensive solutions to improve mammography screening, aiming to detect breast cancer at its earliest stages.
Experience Requirements:
Experience with deep learning and convolutional networks
Strong theoretical and empirical research background
Fluency with a deep learning framework and Python
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
Large scale machine learning experience working with terabytes of data
Other Requirements:
Implemented custom operations/modules in a deep learning framework
Imagination, ambition, and curiosity
Responsibilities:
Develop highly scalable classifiers and detectors that solve real-world problems
Learn and understand a large body of research in deep learning and machine learning
Participate in cutting-edge research for medical applications of computer vision
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