COURSE DESCRIPTION

The course of Artificial Intelligence (AI) in Biomedical Engineering introduces the application of AI in biomedical engineering, focusing on medical image analysis, personalized medicine, and pharmaceutical innovation. Learners explore how AI techniques transform diagnostics, patient-specific treatments, and drug discovery. The course is designed to provide a structured pathway to mastering AI applications in healthcare, equipping participants to implement these technologies in clinical and research settings. Designed for medical professionals, including doctors, nurses, and biomedical engineers, the participants will gain practical knowledge of AI applications in medical diagnosis, personalized medicine, and healthcare delivery optimization through pre-recorded lectures, exemplary publications, and interactive assessments.  Upon completion, learners will be adept at interpreting AI-generated diagnostic results and navigating the ethical and regulatory frameworks that shape healthcare innovation.. 

COURSE MODULES

Module 1: Role of AI in Medical Imaging

Participants will explore the application of AI across multiple imaging modalities, including X-ray, CT, MRI, ultrasound, and PET scans. The module begins by establishing foundational knowledge of AI's significance in healthcare imaging, then advances through technical implementations of convolutional neural networks, transfer learning, and specialized segmentation techniques. This module equips healthcare professionals with the knowledge to evaluate and implement AI-driven imaging solutions that enhance diagnostic accuracy and clinical decision-making.

Module 2: AI in Personalized Medicine 

Participants will explore the application of AI across multiple imaging modalities, including X-ray, CT, MRI, ultrasound, and PET scans. The module begins by establishing foundational knowledge of AI's significance in healthcare imaging, then advances through technical implementations of convolutional neural networks, transfer learning, and specialized segmentation techniques. This module equips healthcare professionals with the knowledge to evaluate and implement AI-driven imaging solutions that enhance diagnostic accuracy and clinical decision-making.

Module 3: AI in Drug Discovery

This module is designed to equip working professionals and job-ready individuals in the biomedical and healthcare sectors with a comprehensive understanding of how AI is reshaping the drug discovery landscape. The module concludes with a thorough examination of ethical considerations, including data privacy, algorithmic bias, and regulatory requirements.

COURSE LEARNING OUTCOMES 

1. Apply and configure AI-based diagnostic tools for medical image analysis in defined clinical or laboratory scenarios.
2. Analyze the role of AI-driven approaches in supporting personalized medicine tailored to individual patient characteristics.
3. Explain the contribution of AI technologies to pharmaceutical research and innovation, including selected use cases.