#2.1 What is Artificial Intelligence? #2.2 Classification #2.3 Regression #2.4 Unsupervised #2.5 Reinforcement #2.6 Case Study

#3.1 The AI Modeling Pipeline #3.2 KNN #3.3 Decision Tree #3.4 Other Types of Models #3.5 KNN Regression #3.6 Linear Regression #3.7 Clustering #3.8 Splitting & Validation Str #3.9 تعديل سريع لشرح سلايد 55

#4.1 Why Data Preparation Matters #4.2 Inspect Your Dataset #4.3 Visualization #4.4 Visualization: Correlation & Relationships #4.5 Data Cleaning #4.6 Feature Engineering & Selection

#5.1 TP -FP - FN - TN #5.2 classification and regression. #5.3 classification and regression. #5.4 KNN

#6.1 why medical imaging matters #6.2 How AI Sees Medical Images #6.3 Color Images #6.4 Histogram & Contrast #6.5 How a Neural Network Learns (Training Process) #6.6 Multilayer Perceptron & MNIST #6.7 MedMNIST dataset #6.8 Deep learning Applications #6.9 Segmentation Workflow #6.10 Visualization — Combining Mask + Image #6.11 Teachable Machine — No-Code Image Classification

#7.1 AI in Clinical Decision Support Systems (CDSS #7.2 Types of Outputs Generated by AI-Based CDSS #7.3 Risk Scores and Probability Based Decision Support #7.4 Case Study #7.5 Bias and Fairness in Clinical Decision Support Systems #7.6 Challenges of Implementing AI-Based CDSS in Hospitals

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