BrAIn Training: AI solutions in healthcare

This training offers a comprehensive introduction to the transferable knowledge and practical applications of Artificial Intelligence (AI) in the healthcare sector. Designed for professionals, students, and innovators across disciplines, the course explores how AI technologies are transforming healthcare delivery, diagnostics, patient monitoring, and decision-making.

Participants will gain insights into real-world AI use cases such as medical imaging analysis, predictive analytics for patient care, virtual health assistants, and data-driven diagnostics. By the end of the course, learners will understand the foundational principles of AI, its ethical implications, and how AI solutions can be adapted and transferred across various healthcare contexts to improve efficiency, accuracy, and patient outcomes.

Key facts about the training: 

• Format: Online / On-demand
• 2 modules
• Estimated time for completion: 2 days
• Final Degree: No official degree or certification provided
• Language: English
• Location: Fully online – accessible from anywhere
• Learning Mode: self-learning

This training course has been developed in the BrAIn project. The BrAIn project focuses on emerging opportunities in sectors like the food industry, healthcare, and sustainable energy, aligning with EU strategies like S3 (Smart Specialization Strategies) to foster innovation and growth across the region. Read more about the project: BrAIn website

Disclaimer: This training course has been developed by Pannon Business Network (PBN) am-LAB within the BrAIn project and is provided here with permission. While we strive to present the course content accurately and in its original form, EIT Manufacturing East is not the original creator of the course material and does not claim ownership of its intellectual property. All trademarks, logos, and content remain the property of their respective owners. Any views, opinions, or guidance expressed within the course are those of the original developers and do not necessarily reflect the views of EIT Manufacturing East. EIT Manufacturing East is not responsible for any errors, omissions, or outcomes resulting from the use of this course. Users are encouraged to verify information and consult with the original course provider for any clarifications.