AI for Medical Professionals

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Introduction

“AI for Medical Professionals” is a specially designed hybrid training program tailored for healthcare practitioners who are eager to explore and integrate AI into their daily workflows. The course offers a practical and foundational understanding of AI, its tools and its applications in the healthcare industry. Participants will gain exposure to cutting-edge AI innovations that enhance diagnostics, clinical decision-making and healthcare productivity.


Training Approach

This training will help you discover how AI can improve your workflow in the healthcare industry. You will learn about the tools and Technologies that you can leverage to embrace AI as a healthcare professional.


Who Should Attend

This course is most interesting for professionals, including:

  • Medical doctors
  • Clinical researchers and biomedical scientists
  • Medical educators and lecturers
  • Healthcare administrators and hospital managers
  • Medical students and postgraduate trainees
  • Allied health professionals
  • Health IT professionals
  • Policymakers and business leaders

Duration

4 days (Saturday classes)


Course Outline

The following is the outline of the course:

AI Fundamentals

Theory:
  • Basic AI & ML Concepts
  • Theory of Multiple Intelligences
  • Neural Networks in Nature
  • AI Applications
  • AI Ethics and Regulation
Hands-On:
  • Basic Python
  • Data Manipulation & Visualization
  • Teachable Machine

Machine Learning

Theory:
  • ML Process
  • Classification
  • Regression
  • Clustering
  • Data Preprocessing
  • Reinforcement Learning
  • Machine Learning Algorithms
  • Model Effectiveness
  • Performance Metrics
  • Automated Machine Learning
Hands-On:
  • Introduction to AutoML

General AI Tools

Theory:
  • Overview of Popular AI Tools
  • AI Scheduling Assistants
  • Personal AI Assistant
  • PhD level AI Agents
Hands-On:
  • Experiment with AI Productivity Apps
  • AutoML – Hyperparameter Optimization
  • AutoML Optimizers

AI Tools for Healthcare

Theory:
  • AI-assisted Diagnostics & Drug Discovery
  • AI-powered Clinical Decision Support Systems
  • Differential Diagnosis & Assessment Plans
  • Effective Prompt Engineering
  • Future of Surgery with AI
Hands-On:
  • Differential Diagnosis using Glass.health
  • Diagnosing Cancer Images using AIDiagnosing Cancer Images using AI

Disclaimer : Course contents are subject to change without prior notice