AI in Healthcare: Applications and Challenges

AI in Healthcare: Applications and Challenges (online)

Date Time
2024-11-27 01:07 PM - 05:07 PM
2024-11-28 01:13 PM - 06:13 PM
2024-11-30 01:14 PM - 06:14 PM
2024-12-01 01:18 PM - 06:18 PM

Course Description

Introduction

 Develop your healthcare and diagnostic processes using advanced AI technologies. By
providing professionals with transformative tools that enable them to integrate
AI into their complex medical tasks to ensure that this competitive advantage
is localized in your organization  

Objectives
  1.  Gain specialized AI
    skills in patient care, from diagnosis to treatment plans 
  2. Discover practical
    methods for seamlessly integrating AI tools into clinical workflows. 
  3. Master the
    principles of ethical use of AI, and how to reduce biases in decision-making
    processes. 
  4. Achieve global
    standards and regulatory frameworks for the use of AI solutions in healthcare. 
  5. Deal with real big
    data to develop AI-powered models that enhance data interpretation and patient
    outcomes.  
Who should attend

 The course is a great fit for organizations and professionals keen to integrate AI into healthcare systems:  

  • Healthcare providers keen to improve
    patient care and streamline operations. 
  • Healthcare technology teams interested in
    building and deploying AI models effectively. 
  • Regulatory officials specializing in
    ensuring compliance with AI technologies. 
  • Data scientists and analysts seeking to
    transition to healthcare-focused AI applications. 

   

Impact

 Participating in this course enables organizations and individuals to:  

  • Be able to diagnose and develop treatment plans faster and more accurately. 
  • Leverage and analyze big medical data to drive better patient outcomes. 
  • Be able to make accurate decisions supported by evidence-based insights with the help of artificial intelligence. 
  • Streamline clinical workflow and reduce costs. 

   

Prerequisites

 Before attending, learners should have: 

  • Basic knowledge of AI and machine learning concepts. 
  • Understanding of healthcare workflow and clinical terminology. 
  • Be familiar with working with datasets, especially medical data. 
  • Possess problem-solving skills relevant to healthcare challenges. 
  • Possess basic programming skills, especially in Python.  
Curriculum