Ai In Healthcare And Medicine

Be part of the digital revolution in the healthcare industry, enjoy weekly innovations & Q&A in the world of Healthcare

What you'll learn
Chapter 1 : Introduction to the Healthcare System
Chapter 2 : Introduction to Clinical Data
Chapter 3 : Fundamentals of Machine Learning in Healthcare
Chapter 4 : AI for Diagnostics
Chapter 5 : AI for Prognosis
Chapter 6 : AI for Medical Treatment
Chapter 7: Evaluations of AI Applications in Healthcare
Chapter 8 : Machine Learning Systems in Production
Requirements
Python
Highschool Math
Description
In this course you will be equipped with the basic understanding and concepts in the world of AI in healthcare, you will learn theoretical knowledge that can help you see the big picture of AI in healthcare, but also you will learn hands on concepts and enjoy the coding and calculations sessions that will take you even deeper into the applications of AI in healthcare. In this course you will learn the following chapters: • Chapter 1: Introduction to the Healthcare System.• Chapter 2: Introduction to Clinical Data.• Chapter 3: Fundamentals of Machine Learning in Healthcare.• Chapter 4: AI for Diagnostics• Chapter 5: AI for Prognosis• Chapter 6: AI for Medical Treatment• Chapter 7: Evaluations of AI Applications in Healthcare• Chapter 8: Machine Learning Systems in Production - Part 1• Chapter 9: Machine Learning Systems in Production – Part 2The courses will be delivered by Mr Feras Naser, who is known for brining many innovative prototypes to the market. Feras interest in healthcare came from his systems engineering background which helped him to see the complexity of healthcare, he has developed Healthy week diet which is a containerized food diet with the right macro nutrient that help you to stay healthy. He believes it is a macro level intervention that can help in Fighting obesity and collection personal medical data. I wish you a great course, please do not hesitate to be part of our innovation Wednesdays and Questions Thursdays. Also please listen to out weekly healthcare podcast.

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Section 2: Introduction to the Healthcare System

Lecture 2 Basic Structure of The Healthcare System

Lecture 3 Physicians, Physicians Practice and Physicians Payment

Lecture 4 Hospitals, Other Provider Organizations & Payment Systems

Lecture 5 Intermediaries & Health Insurance Plans

Lecture 6 Healthcare Products & Healthcare Quality Measurements and Processes

Lecture 7 Healthcare, AI and Ethics

Section 3: Introduction to Clinical Data

Lecture 8 Asking and Answering Questions Via Clinical Data Mining

Lecture 9 Data Available from healthcare Systems

Lecture 10 Representing time and timing for events for Clinical Data

Lecture 11 Creating Analysis Ready Datasets from Patients Timeline

Lecture 12 Handling Unstructured Data : Text, Images and Signals

Lecture 13 Electronic Phenotyping: Putting it All Together

Lecture 14 Ethics in Clinical Data

Section 4: Fundamentals of AI and Machine Learning for Healthcare

Lecture 15 Why Machine Learning in Healthcare

Lecture 16 Concepts & Principles of Machine Learning - Part 1

Lecture 17 Concepts & Principles of Machine Learning - Part 2

Lecture 18 Evaluation & Metrices For Machine Learning In Healthcare

Lecture 19 Strategies and Challenges for Machine Learning in Healthcare

Lecture 20 Best Practices, Teams and Launching your Machine Learning Journey

Section 5: AI for Medical Diagnostics

Lecture 21 Dieses Detection using Computer Vision

Lecture 22 Models Evaluation

Lecture 23 Image Segmentation on MRI images

Section 6: AI for Medical Prognosis

Lecture 24 Linear Prognostic Models

Lecture 25 Prognosis with Tree Based Models

Lecture 26 Survival Models and Time

Lecture 27 Build a risk model using linear and tree based model

Section 7: AI for Medical Treatments

Lecture 28 Average Treatment Effects

Lecture 29 Medical Questions Answering

Lecture 30 Machine Learning Interpretation

Section 8: AI Models Evaluations in HealthCare

Lecture 31 AI in healthcare

Lecture 32 Evaluations of AI models

Lecture 33 Deployment of AI Models

Lecture 34 Downstream Evaluations of AI models

Lecture 35 The Regulations Environment of AI in Healthcare

Lecture 36 Best Practices for AI Ethics

Section 9: Innovation Wednesdays

Lecture 37 Challenges for AI in Healthcare

Developers and Health Workers who are keen to be part of the AI Revolution in Healthcare,Anyone who is interested to join the Next Revolution of Digital Transformation in Healthcare