Artificial Intelligence plays an important role in Healthcare in various ways like brain tumor classification, medical image analysis, bioinformatics, etc.
So if you are interested to learn AI for healthcare, I have collected some best Artificial Intelligence Courses for Healthcare. I hope this course collection will help you to learn Artificial Intelligence for healthcare.
Before we dive into the courses, I would like to explain the importance of Artificial Intelligence in the healthcare industry.
According to the World Health Organization, there are 60% of cases where the health of an individual and their lifestyle are associated. So AI-based systems can set off reminders and generate an alert based on the vital signs of a person and tell them to take prescribed medicine.
Artificial Intelligence cooperates with healthcare professionals to diagnose proficiently. Such as to successfully diagnose childhood diseases, the University of California at San Diego depends on AI.
A virtual nursing assistant can economize $ 20 billion annually and can connect with patients forming an effective care setting.
These are few benefits of AI in healthcare, that I discussed here. There are several other benefits of Artificial Intelligence in healthcare. But this article is about Best Artificial Intelligence Courses for Healthcare, so let’s move the courses-
I have filtered these courses on the following criteria-
Criteria-
- Rating of these Courses.
- Coverage of Topics.
- Engaging trainer and Interesting lectures.
- Number of Students Benefitted.
- Good Reviews from various aggregators and forums.
So, without further ado, let’s start finding the best Artificial Intelligence Courses for Healthcare–
Rating- 4.7/5
Time to Complete- 3 months (If you spend 7 hours/week)
Level- Intermediate
This Specialization Program is a brand new program dedicated to Healthcare. In this specialization, you will gain practical experience in applying machine learning to concrete problems in medicine.
You will work with 2D and 3D medical image data. And then you will apply tree-based models to improve patient survival estimates. Along with this, you will explore how natural language extraction can more efficiently label medical datasets.
There are 3 courses in this Certificate Course. Let’s see the details of the courses-
Courses List-
Now, let’s see what skills you will gain after completing this program-
Skills Gain-
- Model interpretation
- Image Segmentation
- Natural language extraction
- Machine Learning
- Time-to-event modeling
- Deep Learning
- Model evaluation
- Multi-class classification
- Random Forest
- Model tuning
- Treatment effect estimation
- Machine learning interpretation
Extra Benefits-
- You will get a Shareable Certificate and Course Certificates upon completion.
- Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who Should Enroll?
- Who can program in Python and are comfortable with statistics and probability.
Interested to Enroll?
If yes, then check out all details here-AI for Medicine Specialization
Rating- 4.6/5
Time to Complete- 4 months (if you spend 15 hours/week)
Level- Intermediate
This Nano-Degree Program is dedicated to AI for Healthcare. In this program, you will learn how to build, evaluate, and integrate predictive models that have the power to transform patient outcomes.
This program starts with classifying and segmenting 2D and 3D medical images to augment diagnosis. And then modeling patient outcomes with electronic health records to optimize clinical trial testing decisions.
At the end of this Nano-Degree program, you will build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.
There are 4 courses in this Nano Degree Program. Let’s see the details of the courses-
Courses List-
- Applying AI to 2D Medical Imaging Data
- Applying AI to 3D Medical Imaging Data
- Applying AI to EHR Data
- Applying AI to Wearable Device Data
Extra Benefits-
- You will get a chance to work on Real-world projects with Industry Experts.
- You will get Technical mentor support.
- Along with this, you will get a personal coach & career services,
- Interview preparations,
- Resume services,
- Github review,
- LinkedIn profile review.
Who Should Enroll?
- Those who have Intermediate Python and Machine Learning knowledge.
Interested to Enroll?
If yes, then check out all details here- AI for Healthcare
Rating- 4.8/5
Time to Complete- 9 Months (If you spend 2 hours/week)
Level- Beginner Level
This is another specialization program offered by Coursera. This specialization program is for both computer science professionals and healthcare professionals. In this specialization program, you will learn how to identify the healthcare professional’s problems that can be solved by machine learning.
You will also learn the fundamentals of the U.S. healthcare system, the framework for successful and ethical medical data mining, the fundamentals of machine learning as it applies to medicine and healthcare, and much more.
This specialization program has 5 courses. Let’s see the details of the courses-
Courses List-
- Introduction to Healthcare
- Introduction to Clinical Data
- Fundamentals of Machine Learning for Healthcare
- Evaluations of AI Applications in Healthcare
- AI in Healthcare Capstone
Extra Benefits-
- You will get a Shareable Certificate and Course Certificates upon completion.
- Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who Should Enroll?
- There is no prior experience required. Anyone interested in AI for healthcare can enroll.
Interested to Enroll?
If yes, then check out all details here- AI in Healthcare Specialization
Rating- 4.7/5
Time to Complete- 4 Month (If you spend 3 hours/week)
Level- Beginner Level
This specialization program is especially dedicated to the Statistical Analysis for Public Health. In this program, you will learn key statistical concepts like sampling, uncertainty, variation, missing values, and distributions.
Along with that, you will get your hands dirty with analyzing data sets covering some big public health challenges — fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalization — using R.
This specialization consists of 4 courses. Let’s see course details-
Courses List-
- Introduction to Statistics & Data Analysis in Public Health
- Linear Regression in R for Public Health
- Logistic Regression in R for Public Health
- Survival Analysis in R for Public Health
Now, let’s see what skills you will gain after completing this specialization program-
Skills Gain-
- Statistical Thinking
- Survival Analysis
- Logistic Regression
- Data analysis with R
- Linear Regression
- Run basic analyses in R
- R Programming
- Understand common data distributions and types of variables
- Formulate a scientific hypothesis
- Correlation And Dependence
- Understand common ways to choose what predictors go into a regression model
- Run and interpret Kaplan-Meier curves in R
Extra Benefits-
- You will get a Shareable Certificate and Course Certificates upon completion.
- Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who Should Enroll?
- Anyone can enroll who has an interest in medicine and statistics. This is a Beginner Level program. No medical, statistical, or R knowledge is assumed.
Interested to Enroll?
If yes, then check out all details here-Statistical Analysis with R for Public Health Specialization
Rating- 4.9/5
Time to Complete- 12 Hours
Level- Beginner
This course is part of AI in Healthcare Specialization. This course will teach you the methods for supporting data to train, validate, and test machine learning models. You will also learn about advanced neural network architectures.
You will get a chance to explore medical use cases and best implementations for designing, building, and evaluating machine learning applications in healthcare. Now, let’s see the syllabus of the course-
Syllabus of the Course-
- Why machine learning in healthcare?
- Concepts and Principles of machine learning in healthcare part 1
- Concepts and Principles of machine learning in healthcare part 2
- Evaluation and Metrics for machine learning in healthcare
- Strategies and Challenges in Machine Learning in Healthcare
- Best practices, teams, and launching your machine learning journey
- Course Conclusion
Extra Benefits-
- You will get Course Certificates upon completion.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who Should Enroll?
- This is a beginner level course, so anyone can enroll who want to know the overview of Machine learning in healthcare.
Interested to Enroll?
If yes, then check out all details here- Fundamentals of Machine Learning for Healthcare
Rating- 4.7/5
Time to Complete- 19 hours
Level- Intermediate
This course is part of AI for Medicine Specialization. In this course, you will build CNN image classification and segmentation models to do diagnoses lung and brain disorders.
In this course, you will get a chance to prepare 3D MRI data, for image segmentation execute appropriate loss function, and implement a pre-trained U-net model to segment tumor regions in 3D brain MRI images. Now, let’s see the syllabus of the course-
Syllabus of the Course-
- Disease detection with computer vision
- Evaluating models
- Image segmentation on MRI images
Extra Benefits-
- You will get Course Certificates upon completion.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who Should Enroll?
- Those who have a working knowledge of deep neural networks, and comfortable in Python programming.
Interested to Enroll?
If yes, then check out all details here-AI for Medical Diagnosis
And that’s all…So, these are the 6 Best Artificial Intelligence Courses for Healthcare in 2021. Now, it’s time to wrap up.
Conclusion
I hope these listed courses will help you to learn Artificial Intelligence for Healthcare. My aim is to provide you the best resources for Learning. If you have any doubt or questions, feel free to ask me in the comment section.
Tell me in the comment section, which course do you like.
All the Best!
Happy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
If you find these resources helpful, kindly 👏.