Course Description

The digital revolution of healthcare is just  starting. At the center of it is artificial intelligence, the technology that will drive innovation in multiple areas of healthcare. In this course we will discuss techniques of AI like computer vision, natural language processing, decision support. We will  discuss clinical and non-clinical applications of these  emerging and maturing AI technologies. Given my background in Neurology we will explore its impact in Neuroscience in Greater Detail.

Who is this course for :

The course is designed to be a bridge between clinicians and engineers.  It is primarily designed for clinicians to understand the impact of artificial intelligence in healthcare. They would be able to effectively communicate with AI engineers and  contribute to the evolving field of artificial intelligence in healthcare.

  • Pre-Meds to understand evolving field of medicine
  • Medical student the chart the future of their career
  • Interns and Resident understand learning Technologies
  • Physician do understand and become advocates for their patients in the emerging field of artificial intelligence in healthcare
  • Computer Engineers trying to bridge Healthcare knowledge with their own computer skills.


Objectives (By the end of the course …)

By the end of the course clinicians will be able to understand the underlying Technologies of artificial intelligence in healthcare in general and neurosciences in particular. Non clinician will also be able to understand different aspects of AI in Healthcare and it applications to work with clinicians in improving outcomes of our patients.

Course curriculum

  • 1

    Introduction

  • 2

    Chapter 1-Intro & Goal

    • 1.1 - What Leaders are Saying

    • 1.2 - Number of Peer-Reviewed AI Publication

    • 1.3 - Understanding Hype vs Impact

    • 1.4 - Augmented, Assistive, Applied, Ambient, Autonomous

    • 1.5 - Human vs AI Intelligence

    • 1.6 - Recent Examples & Investments
  • 3

    Chapter 2 - Why Now?

    • 2.1 - Why Now? Table

    • 2.2 - Converging Technologies

    • 2.3 - Digital Healthcare Need & Application

    • 2.4 - Big Data

    • 2.5 - The Digital Shift

    • 2.6 - The Computation

    • 2.7 - Edge AI Is The Next Wave of AI

    • 2.8 - Connectivity

    • 2.9 - Cost & Opportunity

    • 2.10 - Internet of Things

    • 2.11 - Code

    • 2.12 - Follow the Money
  • 4

    Chapter 3 - Technical Basics of AI in Healthcare

    • 3.1 - Artificial Intelligence vs Machine vs Deep Learning

    • 3.2 - Types of Machine Learning

    • 3.3 - Basic Types of Algorithms

    • 3.4 - Types of Neural Networks

    • 3.5 - What does the Future Hold?
  • 5

    Chapter 4 - Challenges, Limitations & Ethics in AI

    • 4.1 - Introduction

    • 4.2 - Legal and Regulatory Related

    • 4.3 - Empathy and Trust Related

    • 4.4 - Everyone Needs to Learn AI Ethics

    • 4.5 - Specialties Most Impacted by AI
  • 6

    Chapter 5 - Data & Algorithm (Modeling) Related

    • 5.1 - Understanding Phases of Digital Transformation

    • 5.2 - Big Data - 5Vs and Attributes

    • 5.3 - Importance of Data Work

    • 5.4 - Data Standardization, EHRs & Interoperability

    • 5.4.1 - How accurate are EHR notes?

    • 5.4.2 - Data Standardization & Shift

    • 5.4.3 - ONC’s broad vision and framework for interoperability

    • 5.4.4 - Timeline of Implementation

    • 5.4.5 - Trusted Exchange Framework and Common Agreement

    • 5.4.5 - Information Blocking

    • 5.4.6 - Terminology in Interoperability

    • 5.4.7 - Implementation Support for APIs

    • 5.4.8 - Standardization VS McDonaldization VS Personalization

    • 5.5 - Data Security

    • 5.6 - Data Ownership

    • 5.7 - Bias

    • 5.8 - Interpretability

    • 5.9 - Resources
  • 7

    Chapter 6 - Resources & Reads

    • 6.1 - Websites

    • 6.2 - YouTube

    • 6.3 - Society

    • 6.4 - Course

    • 6.7 - Books

    • 6.8 - Review Articles

    • 6.9 - Other Resources

Instructor(s)

Instructor

Junaid S Kalia

Junaid S Kalia is an Edupreneur and founder of AINeuroCare Academy. A US Board certified neurologist specializing in Neurocritical Care, Stroke & Epilepsy, Dr. Junaid Kalia is passionate about digital health education in Virtual Care, AI in Healthcare, Value-Based Care, and Neurology Care.