This weekend, we had a 2.5 hour lecture introducing the applications of artificial intelligence in clinical research. Topics discussed briefly: * AI mindset * Machine learning and deep learning * Supervised and unsupervised learning * Classification and clustering * Examples: K-means and Neural networks * Dimensionality reduction * Cross-validation * Underfitting and overfitting of models * Softwares to start with: Jamovi, JASP, orange * Programing language to learn: Python * My toolkit in resea

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