Medical Process Automation Requires High-Quality Data Labeling

From diagnostic assistance to patient engagement, AI in healthcare is proving beneficial for patients and healthcare professionals alike by increasing efficiency and reducing significant cost. Expert data annotation is the key to creating high-quality training data to power AI-enabled healthcare.

Computer Vision technology is being increasingly used for diagnostic support and surgical procedures and leading to greater accuracy. The power of Natural Language Processing is in creating smart virtual assistants to help with various administrative tasks including monitoring health status, scheduling doctor appointments and providing medication reminders. Data services such as image and video annotation, data extraction, entity recognition, semantic analysis and transcription are the cornerstones which help reap these benefits.

AI and ML are improving various healthcare operations including:

  • Virtual Assistance
  • Diagnosis
  • Medicine
  • Surgery
  • Follow-up & Maintenance
Read more in this blog post
Med Ai Trends for 2021 - V2

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