Introduction to Intelligent System in Healthcare

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  • Level
  • Duration
  • Price
  • Certificate
  • Beginner & Intermediate
  • 4 Weeks (2 Hours Per Week & 2 Module Per Week)
  • On Process
  • Bharat Academy Education
  • Certified
  • - AIAL(KHDA)
    - Royal Institute for Chartered Engineer - RICE (USA)
Course Info
Key Highlights
Target Audience
Course Overview:

Artificial Intelligence has transformed industries around the world, and has the potential to radically alter the field of healthcare. This Course is designed to provide learners with an understanding of how Artificial Intelligence (AI), Machine Learning (ML), and other intelligent systems are transforming healthcare. This course focuses on the application of intelligent technologies to improve diagnostics, treatment planning, patient monitoring, and healthcare delivery. This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines.

What you'll learn:

By the end of the course, participants will be able to:

  • Identify problems healthcare providers face that machine learning can solve
  • Analyze how AI affects patient care safety, quality, and research
  • Relate AI to the science, practice of medicine
  • Apply blocks building of AI to help them innovate and understand emerging technologies
Requirements:
  • Course Level: Beginner / Intermediate Level [This Course in a Foundation Course]
  • Course Requirement: There are no course requirements or prerequisites
Assessment Methods:
  • Final Hand-On Exam (30% of Total Grade)
  • Final Project/Case Study Presentation (30% of Total Grade)
  • Quizzes & Assignments After Each Module to Assess Understanding (30% of Total Grade)
  • Participation in Discussions & Group Activities (10% of Total Grade)
Recommended Resources:
  • Artifitial Intellegent in healthcare by Tianhua Chen, Jenny Carter, Mufti Mahmud, 2022
  • Online Resources (e.g., Coursera, edX) for Supplementary Learning
Course Delivery Methods:
  • Lectures (In-Person or Online)
  • Each Module will include lectures, practical/case studies hand-on sessions & assessments
Course Instructor:
  • Ms Emtithal Ahmed
  • Doctor of Biomedical Engineering, R&D of AI & IoT
Module 1: Overview of Intelligent Systems in Healthcare
  • Introduction to Intelligent Systems
  • Current Trends in Healthcare Technology
  • Key Benefits of Intelligent Systems in Healthcare
Module 2: Artificial Intelligence & Machine Learning for Healthcare
  • Introduction to Artificial Intelligence
  • Applications of AI in Healthcare & AI in Personalized Medicine
  • Introduction to Machine Learning & ML in Predictive Healthcare Analytics
  • Case Studies in Machine Learning Applications
Module 3: Natural Language Processing (NLP) in Healthcare
  • Introduction to Natural Language Processing (NLP)
  • NLP Applications in Healthcare
  • Case Studies in NLP Applications
Module 4: AI in Medical Signals & Vital Signs
  • Medical Signals and Vital Signs: Overview
  • AI Applications in Medical Signals
  • Techniques and Algorithms
  • Emerging Trends & Applications [Practical Exercise: Hands-On Practice]
Module 5: AI in Medical Imaging
  • Introduction to AI-Powered Medical Imaging
  • AI in Radiology and Diagnostic Imaging
  • AI for Image-Guided Surgery and Treatment Planning
  • Emerging Trends & Applications [Practical Exercise: Hands-On Practice]
Module 6: Robotics and Intelligent Systems in Healthcare
  • Introduction to Robotics in Healthcare
  • Robotics for Surgery and Rehabilitation
  • AI-Driven Robotics for Care Delivery
  • Case Studies in Surgical Automation Applications
Module 7: Future Trends and Innovations in Intelligent Healthcare Systems
  • Emerging AI Technologies in Healthcare
  • AI and Internet of Medical Things (IoMT)
  • The Future of Intelligent Healthcare Systems
Module 8: Practical Applications & Hands-On Case Studies / Projects
  • Review of Key Concepts
  • AI in Healthcare: Real-World Case Studies
  • Hands-On Projects / Case Studies & Workshops
  • Designing a Simple Capstone Project
  • Group Projects Presentations & Final Assessment
  • Students of engineering & biomedical engineering & computer sciences
  • Individuals studying of engineering, computer sciences, IT or related disciplines
  • Engineering professionals & technicians seeking knowledge of medical smart systems
  • Healthcare professionals who want to appear knowledgeable

Courses

  • Artificial Intelligence
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  • Accounts and Legal
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  • Finance
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  • Satellite Communication
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  • JCI
  • Amadeus GDS

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(+971) 54 206 1051

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marketing@bharat-academy.com

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5007, Rigga Business Center, Ibis Hotel, Al Rigga Metro, Dubai

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