Vast Medical Imaging Data
Partnerships with a wide variety of world-renowned academic and community hospitals as well as private clinics gives us the raw materials to achieve our mission.
Practical expertise in radiology enables us to focus on the most pressing and solvable diagnostic imaging problems we face today.
Advanced Networks and Computation
Amidst a revolution in artificial intelligence, we design custom neural network architectures and train them using state-of-the-art hardware.
Breast Cancer Screening
1 in 8 women will be diagnosed with breast cancer in their lifetime. Mammography is a well-established modality used to screen for breast cancer. 16 Bit is working on a screening algorithm to triage mammograms and assist radiologists in their interpretation.
Neurological Emergency Detection
Computed tomography of the head is a commonly performed test done to exclude acute neurological abnormalities such as bleed and stroke. 16 Bit is validating a proprietary architecture to analyze a volumetric CT acquisition of the head and exclude acute findings.
Pediatric Bone Age
Pediatric populations frequently require correlation between skeletal maturation and chronological age. Currently, radiographs of hands are used and patients are categorized based on the presence and absence of bony features. This method is dated and cumbersome. 16 Bit participated in the 2017 RSNA Machine Learning Challenge and achieved 1st place.Try our bone age model
A deep-dive into how we trained a neural network to predict pediatric bone age with a mean absolute difference of 4.265 months.Read more
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