Course Outline

Introduction to AI in Healthcare

  • Overview of AI applications in healthcare
  • Setting up Google Colab for healthcare AI projects
  • Understanding key healthcare datasets

AI for Predictive Modeling in Healthcare

  • Exploring healthcare predictive models
  • Building predictive models using machine learning
  • Evaluating healthcare data models

Medical Image Analysis with AI

  • Introduction to AI for medical imaging
  • Implementing deep learning models for image analysis
  • Using AI to detect patterns in medical images

Data Preprocessing and Feature Engineering

  • Cleaning and preparing healthcare data
  • Feature engineering techniques for healthcare datasets
  • Dealing with missing and unstructured data

Ethical Considerations in AI for Healthcare

  • Understanding the ethical impact of AI in healthcare
  • Ensuring privacy and data protection
  • Fairness and transparency in AI models

AI-Powered Healthcare Case Studies

  • Real-world AI applications in healthcare
  • Case studies on AI-driven predictive analytics
  • Medical image analysis with AI in clinical settings

Advanced AI Techniques in Healthcare

  • Implementing advanced AI models
  • Exploring natural language processing in healthcare
  • AI-driven decision support systems in healthcare

Summary and Next Steps

Requirements

  • Basic knowledge of AI and machine learning concepts
  • Familiarity with Python programming
  • Understanding of healthcare industry fundamentals

Audience

  • Data scientists working in healthcare
  • Healthcare professionals interested in AI
  • Researchers exploring AI-driven healthcare solutions
 14 Hours

Delivery Options

Private Group Training

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  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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