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Course Outline

Introduction to AI in Healthcare

  • Overview of AI and machine learning in medicine.
  • Historical development of AI in healthcare.
  • Key opportunities and challenges in AI adoption.

Healthcare Data and AI

  • Types of healthcare data: structured and unstructured.
  • Data privacy and security regulations (HIPAA, GDPR).
  • Ethical considerations in AI-driven healthcare.

Machine Learning Fundamentals for Healthcare

  • Supervised vs. unsupervised learning.
  • Feature engineering and data preprocessing for medical datasets.
  • Evaluating AI models in healthcare applications.

AI Applications in Patient Care

  • AI in medical imaging and diagnostics.
  • Predictive analytics for patient outcomes.
  • Personalized medicine and treatment recommendations.

AI for Hospital and Clinical Operations

  • Automating administrative tasks with AI.
  • AI-driven decision support systems.
  • Optimizing hospital resource management.

Ethics, Bias, and AI Governance in Healthcare

  • Understanding bias in medical AI models.
  • Regulatory and compliance considerations.
  • Ensuring transparency and accountability in AI systems.

Capstone Project: AI-Driven Patient Data Analysis

  • Exploring a healthcare dataset.
  • Building and evaluating an AI model for medical predictions.
  • Interpreting model outputs and improving accuracy.

Summary and Next Steps

Requirements

  • Foundational knowledge of machine learning concepts.
  • Practical experience with Python programming.
  • Prior familiarity with healthcare data or clinical workflows is advantageous.

Target Audience

  • Healthcare professionals interested in the application of AI.
  • Data scientists and AI engineers operating within the healthcare industry.
  • Technology leaders and decision-makers in the medical sector.
 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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