Challenges
Develop a Healthcare Radiology Assistant System by using ML models for extracting insights by processing EHR/EMR and medical history
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Solution
Deploy a team with experience in Data Engineering and Data Science
Data Pre-processing using Hadoop, Spark, Kafka streaming for processing Image, Text, structured (SQL/NoSQL) and unstructured data (e.g. handwritten notes)
Model exploration, Model development, Model training and validation for Image and text processing, anomaly detection, etc
Generate actionable insights including Alerts/Alarms, OEE recommendations, Actionable insights, Disease segmentation
Integration of solutions with Radiology Assistant and Physician Assist applications