Description:

• Introduction to the transformative role of AI in healthcare, exploring groundbreaking applications and their impact on patient outcomes

• Detailed exploration of key AI and ML concepts, Neural Networks, and architectures forming the basis of Foundation Models. Discussion of basic computational blocks, learning dynamics (i.e., model training and validation), and model architectures such as Transformers

• Detailed exploration of key AI and ML concepts (Continue), including Natural Language Processing (such as Tokenization, LM, Embeddings), Multi-Modality, LLM, Agentic AI

• Exploration of the multifaceted challenges facing the healthcare system, including quality of cre, cost-effectiveness, and work-related satisfaction.

The participants

• understand the basics of AI technology and its significance in medicine today.

• grasp the foundational AI/ML/NLP concepts that underpin AI applications in healthcare.

• develop a critical understanding of specialized AI topics by reading literature and creating presentations.

• broaden perspectives on AI in medicine and critically think and assess different AI applications in medicine.

• exam AI's potential to address these challenges and enhance the health-care industry's efficiency and effectiveness.

• consolidate knowledge gained throughout the workshop and establish professional connections.