Faster diagnosis
Why AI? The biggest reason is because today, multiple factors have converged to create an environment where AI can make discoveries and judgments leading to faster and more accurate diagnoses than humans can perform. It significantly reduces the turnaround time for reports and also enables pathologists to look at only the relevant data.
Farther outreach
Healthcare Inclusion. Diagnostic centers are concentrated in the larger cities, whereas most of the population resides in smaller cities or villages. Our compact systems are portable that can be carried to the point- of care. Our technology enables the healthcare system to extend itself into the far reaches of any country.
Increased throughput
Fatigued and limited pathologists, cause a delay in reports, and increase the number of misdiagnoses leading to enormous social & economic costs. There is also an shortage of specialists at many medical institutions. There is a need for an AI imaging diagnosis support system that can interpret images, detect small lesions that even specialists could miss. AI eliminates the grunt work of looking at 80% normal samples.
Feedback learning
Through intelligent architecting of the system, the AI algorithms are continuously learning from human intervention when Pathologists either confirm or reject the findings of the algorithms. These are then automatically redirected back as feedback, to build even better Deep Learning models. If data is the life blood of any Deep Learning system, our system ensures that there is a constant supply of supervised data that goes into building better models.
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