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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Evaluations of AI Applications in Healthcare is a beginner-level online programme offered by the Stanford University School of Medicine which is accredited by the Accreditation Council for Continuing Medical Education (ACCME). Evaluations of AI Applications in Healthcare Certification Syllabus, prepared by Tina Hernandez-Boussard and Mildred Cho, will provide the candidates with a deep understanding of the application of artificial intelligence in healthcare and evaluation of the effects of AI healthcare solutions.

Offered by Coursera, the Evaluations of AI Applications in Healthcare Certification Course is provided completely in the mode with a flexible deadline where the students can set the deadline as per their own schedule. Evaluations of AI Applications in Healthcare Certification by Coursera is the fourth in the five courses of AI in Healthcare Specialization.

The Highlights

Provided by Coursera
Approximately 10 hours of programme
Offered by the Stanford University
Flexible Deadlines
Self-Paced Learning Option
Shareable Certificate
Beginner Level Course
Financial Aid Available
100% Online Course

Programme Offerings

English videos with multiple subtitles
practice quizzes
Graded Assignments with peer feedback
graded Quizzes with feedback
Graded Programming Assignments
Course Videos & Readings
EMI payment options
14 day refund period

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Evaluations of AI Applications in Healthcare Certification Fee is tabulated below:

Description	Total Fee in INR
Course Fee, 1 month	Rs. 6,479
Course Fee, 3 months	Rs. 12,958
Course Fee, 6 months	Rs. 19,438

Eligibility Criteria

Certification Qualifying Details

To get hold of the Evaluations of AI Applications in Healthcare Certification, the students are required to successfully finish all the proceedings of the programme such as course materials, lecture videos, quizzes, assignments, etc.

What you will learn

Knowledge of Artificial Intelligence

After the Evaluations of AI Applications in Healthcare Training, the students will be able to make a detailed understanding of

Best practices of AI applications in healthcare.
Standard evaluation metrics
Challenges of regulation of AI applications
Integration of AI into clinical workflows
Evaluations of AI in Healthcare
AI Deployment

Who it is for

Health InspectorMedical Lab TechnicianDoctorNurseHealth Officer

Evaluations of AI Applications in Healthcare Classes is a better opportunity for the following professionals:

Admission Details

Step1- At first, the students will have to register and sign up on https://www.coursera.org/ to get access to the courses offered by Coursera.

Step 2 - After activating the Coursera account, the candidate can sign in.

Step 3 - Then, the candidate can search the ‘Stanford University’ in the search column, and then, the courses offered by Stanford University will appear on the screen.

Step 4 - Then, find the course ‘Evaluations of AI Applications in Healthcare’ in the list and click on it.

Step 5- Then, the page of the course will appear on the screen, and then, click on the option ‘enroll’. The students can enroll in the programme either free of cost or pay the fee prescribed by Coursera.

The Syllabus

Videos

Learning Objectives
Common Definitions
Overview
Why AI is needed in Healthcare
Examples of AI in Healthcare
Growth of AI in Healthcare
Questions Answered by AI
AI Output
Think beyond area under the curve
Recap

Readings

Study Guide Module 1
Citations and Additional Readings

Practice Exercises

Reflection Exercise 1
Reflection Exercise 2
Knowledge Check

Videos

Learning Objectives
Recap: Framework
Stakeholders
Clinical Utility
Outcome: Action Pairing, An Overview
Lead Time
Type of Action
OAP Examples
Number Needed to Treat
Net Benefits
Decision Curves
Feasibility overview
Implementation Costs
Clinical Evaluation and Uptake
Summary

Readings

Study Guide Module
Citations and Additional Readings

Practice Exercises

Reflection Exercise 1
Reflection Exercise 2
Reflection Exercise 3
Knowledge Check

Videos

Learning Objectives
The Problem
Practical Questions Prior to Deployment
Deployment Pathway
Design and Development
Stakeholder Involvement
Data Type and Sources
Settings
In Silico Evaluation
Net Utility & Work Capacity
Statistical Validity
Care Integration, Silent Mode
Clinical Integration, Considerations
Technical Integration
Deployment Modalities
Continuous Monitoring and Maintenance
Challenges of Deployment
Sepsis Example
Summary

Readings

Study Guide Module
Citations and Additional Readings

Practice Exercises

Reflection Exercise 1
Reflection Exercise 2
Reflection Exercise 3
Reflection Exercise 4
Knowledge Check

Videos

Learning Objectives
Real World Examples of AI Bias
Introduction - Types of Bias
Historical Bias
Representation Bias
Measurement Bias
Aggregation Bias
Evaluation Bias
Deployment Bias
What is algorithmic Fairness
Anti-classification
Parity Classification
Calibration
Applying Fairness Measures
Lack of Transparency
Minimal Reporting Standards
Opportunities and Challenges
Summary

Readings

Study Guide Module
Citations and Additional Readings

Practice Exercises

Reflection Exercise 1
Reflection Exercise 2
Reflection Exercise 3
Reflection Exercise 4
Knowledge Check

Videos

Learning Objectives
The Problem
International Definitions Used for Regulatory Purposes
Definition Statement & Risk Framework
Valid Clinical Association
Analytical Evaluation
Clinical Evaluation
General Control
de novo Notifications
Software Modification
TPLC
Locked vs Adapted AI solutions
Examples
Non-Regulated Products
EU Regulations
Chinese Guidelines
OMB Guidelines
Summary

Readings

Study Guide Module
Citations and Additional Readings

Practice Exercises

Reflection Exercise 1
Reflection Exercise 2
Reflection Exercise 3
Knowledge Check

Readings

Problem Formulation
Identifying Conflicts of Interest
Mitigating Conflicts of Interest

Readings

Final Assessment Note
Claim CME Credit
Full Study Guide

Practice Exercises

Final Exam

Instructors

Stanford Frequently Asked Questions (FAQ's)

1: In which mode the Evaluations of AI Applications in Healthcare Online Certification is offered?

The course is provided in 100% online mode.

2: What is the minimum completion time of the Evaluations of AI Applications in Healthcare Online Course?

The programme can be completed within about 10 hours.

3: Which institution is offering the course?

The course is administered by Stanford University School of Medicine which is accredited by the Accreditation Council for Continuing Medical Education (ACCME).

4: Is the instalment mode available for the payment of the fee?

Yes, the instalment mode is available for the fee payment.

5: Does Coursera render the student placement support after the course?

No, Coursera does not provide placement support for the students.