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Radar/AI

AI in the fields of health

In the field of care

Primary, Hospital
and Mental Health care
Examples of the use of AI algorithms
to improve diagnostics and reduce errors.

Medical imaging (CV)

Robotic surgery (RL)

Examples of data-driven
clinical decision making to
optimize patient management

AI-driven decision making
for trauma patients (ML-CV)

Support in preliminary diagnoses (ML)

Automated pain recognition (ML)

Reduction of medication
dosing errors (ML)
Public
health

Helps to protect and promote
people's health, prevent
disease and carry out the health
surveillance of the population
Exemples

Efficient distribution of medication
and material (ML)

Efficient distribution of human
resources (ML)

Reduction in waiting times
through the rational allocation
of beds to patients (ML)

Streamlining triage in emergency departments (ML)
Operations

Exploitation of health data to
optimize processes and services
in hospitals and health services.
Exemples

Efficient distribution of medication
and material (ML)

Efficient distribution of human
resources (ML)

Reduction in waiting times
through the rational allocation
of beds to patients (ML)

Streamlining triage in emergency departments (ML)
AI as a
Research Tool

Use of AI algorithms to improve
efficiency in medical research.
Exemples

Identification of patients in clinical
trials (ML)

Research on minority diseases
(ML-CV-NLP)

Drug development
research (ML)