Medical Artificial Intelligence: Fundamentals for Health Sciences

Introduction

What this guide covers

Introduction Introduction Medical Statistics · Machine Learning

Overview

Topics covered

• Introduction
• Fundamentals of AI in Health Sciences
• Introduction, Taxonomy and Milestones of Medical AI
• Historical evolution and epistemological transition
• Symbolic expert systems versus empirical Machine Learning models
• Taxonomy of Decision Systems according to the Medical Task

Related concepts

Main connections

• Survival analysis & Kaplan-Meier
• Diagnostic test evaluation & ROC
• Regularization (Lasso / Ridge / Elastic Net)
• Neural networks & deep learning
• Maximum likelihood estimation
• Epidemiological measures & risk ratios

Compatible notation

Mathematical sample in LaTeX

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