AI in health represents a collection of multiple technologies enabling machines to sense, comprehend, act and learn so they can perform administrative and clinical healthcare functions. Unlike legacy technologies that are only algorithms/tools that complement a human, health AI today can truly augment human activity.

Use Cases

Personal health virtual assistant

Healthcare apps can be used to deliver medication alerts, patient education material and human-like interactions to gauge a patient's current mental state. The application of AI in the form of a personal assistant can have an incredible impact on monitoring and assisting patients with some of their needs when clinical personnel are not available.

Advanced analytics and research

The capabilities of AI do not stop at understanding human commands and knowing what type of response is needed. For example, AI has been used in many advanced use cases in oncology to help detect abnormalities in X-raysand MRIs, in genomics to perform complex processing and in precision medicine to provide assistance in creating highly customized treatments for individual patients.

Data-driven patient care

Use AI methods to improve health outcomes along the patient journey:
  • Patient disease risk prediction
  • Diagnosis & treatment decision support
  • Care management automation

New patients targeting

AI can apply different algorithms that analyze demographics data, care access, and historical admission data to define the ideal prospects. AI can also identify those who would likely seek healthcare services in the area and allow the hospital to target them with different campaigns.

Healthcare process automation

Automate transactional & repetitive healthcare professionals’ activities:
  • Clinical documentation automation
  • Care plan automation
  • Patient self-management

AI-enabled drug discovery

Improve speed, efficiency, and effectivity of drug discovery:
  • Simulation of molecular mechanisms
  • Off-label use identification
  • Treatment impact analysis


  • Improved patient care
  • Fast & accurate diagnostics
  • Less human errors
  • Cost reduction
  • Automation frees up resources to perform other tasks and activities that only humans can do