Artificial intelligence in Healthcare

Prelims level : AI in Healthcare and advantages in treatments and diagnosis Mains level :
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GS 3: Science & Technology | Developments and their applications and effects in everyday life.

Why in news?

  • Artificial intelligence (AI) systems poses an opportunity for medical professionals to learn more than before, the enormous amount of medical information can overwhelm the decision-making processes.

AI in healthcare:

  • AI in healthcare can help to leverage technology to deploy efficient, impactful interventions at exactly the right moment in a patient’s care.
  • Artificial intelligence can provide insights into diagnostics, care processes, treatment variability, and patient outcomes.
  • AI systems can bring in better standardisation of processes, and therefore subjectivity in interpreting information will be reduced.
  • AI-assisted robotic surgery, where robots are able to analyse pre-op medical data and guide a surgeon’s instrument during surgery, ensures patients develop fewer complications than otherwise.
  • AI is that it can significantly improve efficiency, while reducing wastage and costs.


  • Low doctor-patient ratio.
  • To deliver remote medicine and create virtual access in an effective manner.
  • Doctors with AI can treat and monitor patients across geographies .
  • Healthcare organisations can plan policies, guidelines, strategies and infrastructure to address health needs in a precise manner, thereby optimising the resources and delivery.
  • The State can prioritise plans, budgetary allotments with greater understanding and in optimal utilisation.
  • The auto diagnosis tool is an AI-powered tool that runs on actual diagnostic tests results and provides probable risks factors.
  • It also suggests users change their lifestyle by recommending diet and exercise plans.
  • Further investigations (if any) and a list of repetitive examinations for regular health tracking and monitoring are also suggested.
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