Deep Learning in Medicine: Overview and Clinical Applications

Introduction

What this guide covers

Introduction Artificial Intelligence · Precision Medicine

Overview

Topics covered

• Introduction
• Introduction and History of Deep Learning in Medicine
• 1.1 Chronology of Medical Deep Learning
• Mathematical Foundations of Deep Learning
• 2.1 The Artificial Neuron and the Perceptron
• 2.2 Learning: Backpropagation and Gradient Descent

Related concepts

Main connections

• Self-attention & Transformer architectures
• Neural networks & deep learning
• Supervised machine learning
• Diagnostic test evaluation & ROC
• Vector embeddings & latent space
• Regularization (Lasso / Ridge / Elastic Net)