AI Innovations in Healthcare: From Detection to Treatment

Available Dates

Sep-30-2024

Singapore
Oct-07-2024

Singapore
Nov-04-2024

Singapore
Dec-02-2024

Singapore
Dec-30-2024

Singapore
Jan-06-2025

Singapore
Feb-03-2025

Singapore
Mar-03-2025

Singapore
Apr-07-2025

Singapore
May-05-2025

Singapore
June-02-2025

Singapore
June-30-2025

Singapore
July-07-2025

Singapore
Aug-04-2025

Singapore
Sep-01-2025

Singapore
Sep-29-2025

Singapore
Oct-06-2025

Singapore
Nov-03-2025

Singapore
Dec-01-2025

Singapore
Dec-29-2025

Singapore

Dates in Other Venues

Sep-23-2024

Kuala Lumpur
Sep-30-2024

Paris
Sep-30-2024

Istanbul
Oct-07-2024

Paris
Oct-14-2024

Amsterdam
Oct-14-2024

London
Oct-21-2024

Barcelona
Oct-21-2024

Dubai
Oct-28-2024

Istanbul
Oct-28-2024

Kuala Lumpur
Nov-04-2024

Paris
Nov-11-2024

Amsterdam
Nov-11-2024

London
Nov-18-2024

Barcelona
Nov-18-2024

Dubai
Nov-25-2024

Istanbul
Nov-25-2024

Kuala Lumpur
Dec-02-2024

Paris
Dec-09-2024

London
Dec-09-2024

Amsterdam
Dec-16-2024

Barcelona
Dec-16-2024

Dubai
Dec-23-2024

Kuala Lumpur
Dec-30-2024

Istanbul
Dec-30-2024

Paris
Jan-06-2025

Paris
Jan-13-2025

London
Jan-13-2025

Amsterdam
Jan-20-2025

Dubai
Jan-20-2025

Barcelona
Jan-27-2025

Kuala Lumpur
Jan-27-2025

Istanbul
Feb-03-2025

Paris
Feb-10-2025

Amsterdam
Feb-10-2025

London
Feb-17-2025

Dubai
Feb-17-2025

Barcelona
Feb-24-2025

Istanbul
Feb-24-2025

Kuala Lumpur
Mar-03-2025

Paris
Mar-10-2025

Amsterdam
Mar-10-2025

London
Mar-17-2025

Barcelona
Mar-17-2025

Dubai
Mar-24-2025

Istanbul
Mar-24-2025

Kuala Lumpur
Apr-07-2025

Paris
Apr-14-2025

Amsterdam
Apr-14-2025

London
Apr-21-2025

Dubai
Apr-21-2025

Barcelona
Apr-28-2025

Istanbul
Apr-28-2025

Kuala Lumpur
May-05-2025

Paris
May-12-2025

London
May-12-2025

Amsterdam
May-19-2025

Barcelona
May-19-2025

Dubai
May-26-2025

Istanbul
May-26-2025

Kuala Lumpur
June-02-2025

Paris
June-09-2025

London
June-09-2025

Amsterdam
June-16-2025

Barcelona
June-16-2025

Dubai
June-23-2025

Kuala Lumpur
June-30-2025

Istanbul
June-30-2025

Paris
July-07-2025

Paris
July-14-2025

Amsterdam
July-14-2025

London
July-21-2025

Dubai
July-21-2025

Barcelona
July-28-2025

Kuala Lumpur
July-28-2025

Istanbul
Aug-04-2025

Paris
Aug-11-2025

Amsterdam
Aug-11-2025

London
Aug-18-2025

Dubai
Aug-18-2025

Barcelona
Aug-25-2025

Kuala Lumpur
Aug-25-2025

Istanbul
Sep-01-2025

Paris
Sep-08-2025

London
Sep-08-2025

Amsterdam
Sep-15-2025

Barcelona
Sep-15-2025

Dubai
Sep-15-2025

Kuala Lumpur
Sep-29-2025

Paris
Sep-29-2025

Istanbul
Oct-06-2025

Paris
Oct-13-2025

London
Oct-13-2025

Amsterdam
Oct-20-2025

Barcelona
Oct-20-2025

Dubai
Oct-27-2025

Istanbul
Oct-27-2025

Kuala Lumpur
Nov-03-2025

Paris
Nov-10-2025

Amsterdam
Nov-10-2025

London
Nov-17-2025

Barcelona
Nov-17-2025

Dubai
Nov-24-2025

Kuala Lumpur
Nov-24-2025

Istanbul
Dec-01-2025

Paris
Dec-08-2025

London
Dec-08-2025

Amsterdam
Dec-15-2025

Dubai
Dec-15-2025

Barcelona
Dec-22-2025

Kuala Lumpur
Dec-29-2025

Paris
Dec-29-2025

Istanbul

Course Details

The AI Innovations in Healthcare training course provides an in-depth examination of how artificial intelligence is reshaping healthcare. Over five days, participants will explore the evolution and impact of AI technologies on medical fields, delving into their applications in diagnostics, patient care, and healthcare operations. The course begins with an introduction to AI tools and technologies, along with discussions on data privacy and ethical considerations.

Participants will learn to use Python for data analysis, focusing on healthcare-specific datasets and libraries. The course also covers machine learning fundamentals, including building and evaluating predictive models for disease detection. Advanced topics such as deep learning and its applications in medical imaging and genetic data analysis will be explored.

The course culminates in strategies for implementing AI solutions in healthcare settings, addressing ethical challenges, and considering future trends in AI technology. This comprehensive curriculum prepares participants to understand and apply AI in diverse healthcare contexts.

By the end of this course, participants should be able to:

Understand the role and capabilities of AI across various healthcare domains, including diagnostics, treatment, and management.
Apply AI techniques to analyze medical data, enhancing disease detection and patient monitoring capabilities.
Implement machine learning and deep learning models to solve real-world healthcare problems.
Navigate the ethical, legal, and social implications of AI in healthcare.
Develop and deploy AI solutions within their own healthcare practices or organizations.

This course is designed to equip participants with a thorough understanding of how artificial intelligence is being leveraged in healthcare settings to enhance patient outcomes and streamline operations. The curriculum addresses AI's role in diagnostics, patient management, and healthcare policy, offering practical insights and hands-on experience with current technologies.

Medical and healthcare professionals (doctors, nurses, administrators)
Healthcare IT professionals
Data scientists and analysts working in healthcare
Biomedical engineers
Academic researchers and students in medical fields
Policy makers and healthcare regulators

Our courses in Singapore take place at the following location :

The Work Boulevard: 79 anson road level 21 Singapore 079906

Once you register for this course, we will subsequently send the invoice and course information, including location, trainer, and other logistics.

Pay Attention, Please! The course location is subject to availability; the course time will be precise one week before the course start date! We may change the course location if there is no availability, and we will let you know about the location change once it happens.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

Introduction to AI in Healthcare

Overview of AI in Healthcare: Impact and evolution of AI technologies in the medical field.
Key Areas of Application: Exploration of how AI is used in diagnostics, patient care, operations, and public health.
AI Tools & Technologies: Exploring essential tools & technologies behind AI in healthcare.
Challenges and Opportunities: Discussion on data privacy, ethical considerations, and the potential of AI to transform healthcare.
Case Studies: Real-world examples of AI positively impacting healthcare outcomes.

Python Basics & Data Exploration

Python for Healthcare: Introduction to using Python for data analysis, focusing on healthcare-specific libraries and tools.
Exploratory Data Analysis (EDA): Techniques to visualize and analyze health datasets to uncover patterns and insights.
Hands-On Workshop: Participants conduct EDA on provided healthcare datasets, learning to interpret medical data effectively.
Data Management Best Practices: Ensuring data quality, security, and compliance with health data regulations.
Discussion: Overcoming challenges in healthcare data analysis.

Machine Learning in Healthcare

Machine Learning Fundamentals: Overview of machine learning techniques applicable to healthcare.
Predictive Models for Disease Detection: Developing models to predict and diagnose diseases early using patient data.
Workshop: Building and training predictive models using real patient datasets.
Model Evaluation and Validation: Techniques to assess model performance and ensure reliability in clinical settings.
Interactive Q&A: Addressing common questions and challenges in implementing ML in healthcare.

Deep Learning & Advanced AI Applications

Introduction to Deep Learning: Utilizing deep neural networks for complex healthcare applications, such as medical imaging and genetic data analysis.
Deep Learning for Skin Disease Detection: Understanding how to implement CNN models for Disease Detection.
Model Building and Training: Step-by-step instructions on building a CNN model using TensorFlow/Keras
Advanced AI Technologies: Exploring innovative applications such as AI in robotic surgery and patient management systems.

Implementing & Managing AI Solutions

Deployment Strategies: Best practices for deploying AI solutions in healthcare settings.
Ethical AI Use: Comprehensive discussion on managing ethical issues, ensuring fairness, and avoiding bias in AI applications.
Future of AI in Healthcare: Trends and emerging technologies that will shape the future of healthcare.
Project Presentations: Participants present their projects or AI solution ideas developed during the course.
Course Recap and Feedback: Reviewing key concepts, sharing feedback, and discussing next steps for participants to apply their new knowledge.

AI Innovations in Healthcare: From Detection to Treatment

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