Artificial Intelligence for Medicine

• Introduction to AI in medicine
• Overview of Artificial Intelligence and machine learning
• Introduction to the application of AI in medicine
• Regulatory and ethical considerations. The role of Xai

• Machine learning fundamentals
• Basic concepts of supervised, unsupervised, and reinforcement learning
• Applications of machine learning in medicine: diagnosis, prognosis, treatment selection, drug discovery, etc.
• Evaluation metrics for machine learning models in healthcare

• Introduction to Python programming language and its applications in data analysis
• Data manipulation and analysis using Python libraries such as Numpy, Pandas, and Matplotlib
• Hands-On exercises and coding assignments using Python for data preprocessing and exploratory data analysis with medical datasets

• Overview of orange data mining software and its functionalities
• Data preprocessing, feature engineering, and model building using orange
• Hands-on tutorials and case studies using orange for machine learning tasks with medical datasets

• Overview of ChatGPT and its applications in Natural Language Processing (NLP)
• Basics of text preprocessing

Hands-on workshop on using ChatGPT and medical text data