About corse
Artificial Intelligence (AI) and Machine Learning (ML) are transforming numerous sectors, with healthcare being one of the most promising areas of application. The integration of these technologies is revolutionizing the way medical professionals approach diagnosis, treatment, and patient care. By harnessing large datasets and advanced algorithms, healthcare providers can gain insights that lead to more accurate predictions, personalized treatment plans, and improved operational efficiencies. This professional training course is designed to equip participants with a comprehensive understanding of AI and ML concepts, their practical applications in healthcare, and the ethical considerations that accompany their use. The course will delve into various case studies, showcasing successful implementations of AI and ML in diverse healthcare settings. Participants will explore the challenges and opportunities that arise from adopting these technologies, including data management, algorithm development, and patient privacy concerns. By the end of this training, attendees will possess a robust skill set that empowers them to leverage AI and ML effectively in their organizations.The Objectives
- Understand the foundational concepts of AI and ML.
- Explore the applications of AI and ML in various healthcare domains.
- Analyze real-world case studies to identify best practices.
- Develop skills to implement AI-driven solutions in healthcare settings.
- Recognize the ethical implications of AI and ML in patient care.
- Foster collaboration among healthcare professionals through technology.
Training Methodology
The training will utilize a blended approach, incorporating lectures, interactive workshops, group discussions, and hands-on projects. Participants will engage in practical exercises, allowing them to apply theoretical knowledge to real-world scenarios. Expert guest speakers from the healthcare technology sector will share insights and experiences. The course will also include assessments to evaluate understanding and application of concepts.WHO SHOULD ATTEND
This course is ideal for healthcare professionals, including doctors, nurses, administrators, and IT specialists, who are interested in understanding AI and ML applications in healthcare. It is also suitable for policy-makers and researchers aiming to explore the implications of these technologies in the medical field.Course Outlines
Day 1- Introduction to AI and Machine Learning in Healthcare
- Overview of Key Terminologies
- Historical Context of AI in Medicine
- Understanding Data Types and Sources in Healthcare
- Introduction to Algorithms and Their Functionality
- Interactive Discussion: Expectations and Goals
- Machine Learning Techniques: Supervised vs. Unsupervised Learning
- Data Preprocessing and Cleaning Methods
- Feature Selection and Engineering
- Case Studies: Diagnostic Applications
- Hands-on Exercise: Building a Simple ML Model
- Group Reflection: Learning Insights
- Deep Learning and Neural Networks Explained
- Natural Language Processing in Healthcare
- Image Recognition and Computer Vision Applications
- Case Studies: AI in Radiology and Pathology
- Hands-on Workshop: Image Analysis with AI
- Expert Guest Speaker: Innovations in Healthcare AI
- Predictive Analytics in Patient Care
- Personalized Medicine and Treatment Plans
- Workflow Automation and Operational Efficiency
- Case Studies: AI in Clinical Decision Support
- Group Activity: Designing an AI Solution for a Healthcare Problem
- Ethical Considerations in AI and Patient Privacy
- Regulatory Frameworks Governing AI in Healthcare
- Challenges in Data Sharing and Interoperability
- Strategies for Successful AI Implementation
- Future Trends in AI and Healthcare Technology
- Group Discussion: Overcoming Barriers to Adoption
- Workshop: Creating an AI Implementation Roadmap
Training Method?
- Pre-assessment
- Live group instruction
- Use of real-world examples, case studies and exercises
- Interactive participation and discussion
- Power point presentation, LCD and flip chart
- Group activities and tests
- Each participant receives a copy of the presentation
- Slides and handouts
Training Method?
The course agenda will be as follows:- Technical Session 30-10.00 am
- Coffee Break 00-10.15 am
- Technical Session 15-12.15 noon
- Coffee Break 15-12.45 pm
- Technical Session 45-02.30 pm
- Course Ends 30 pm
City
| Venue | Start Date | End Date | Net Fees | Details & Registration |
|---|---|---|---|---|
| London | August 18, 2025 | August 22, 2025 | 7500 GBP | PDF Register |
| London | September 22, 2025 | September 26, 2025 | 7500 GBP | PDF Register |
| London | October 20, 2025 | October 24, 2025 | 7500 GBP | PDF Register |
| London | November 24, 2025 | November 28, 2025 | 7500 GBP | PDF Register |
| London | December 29, 2025 | January 2, 2026 | 7500 GBP | PDF Register |
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