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Learner Reviews & Feedback for AI for Medical Diagnosis by DeepLearning.AI

4.7
stars
1,911 ratings

About the Course

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required! This program will give you practical experience in applying cutting-edge machine learning techniques to concrete problems in modern medicine: - In Course 1, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders. - In Course 2, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis. - In Course 3, you will build a treatment effect predictor, apply model interpretation techniques and use natural language processing to extract information from radiology reports. These courses go beyond the foundations of deep learning to give you insight into the nuances of applying AI to medical use cases. As a learner, you will be set up for success in this program if you are already comfortable with some of the math and coding behind AI algorithms. You don't need to be an AI expert, but a working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential. If you are relatively new to machine learning or neural networks, we recommend that you first take the Deep Learning Specialization, offered by deeplearning.ai and taught by Andrew Ng. The demand for AI practitioners with the skills and knowledge to tackle the biggest issues in modern medicine is growing exponentially. Join us in this specialization and begin your journey toward building the future of healthcare....

Top reviews

RK

Jul 2, 2020

It was a nice course. Though it covers basics. A follow-up advanced specilization can be made. Overall, it's sufficient for beginner for an engineer trying to learn application of AI for medical field

KH

May 26, 2020

Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!

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326 - 350 of 401 Reviews for AI for Medical Diagnosis

By Anditya A

May 29, 2020

too hard

too little explanation in the exercises,

definitely not for beginner,

this is an expert class course,

even an experienced student, who's familiar with tensorflow might struggle a bit

By Pooja A

Dec 12, 2020

A good course with challenging assignments. However, the assignments could have been a little less self explanatory and should have triggered deeper and more individualistic thinking.

By Stephan P C

Jul 12, 2020

The assignments are extremely simple; mostly just implementing an equation in Python. The rest of the notebooks are basically readings. Maybe give a little more coding practice.

By Gustav C

Mar 4, 2023

A good introduction to the problems of using AI for medical diagnosis. A little bit too much hand-holding in the final assignment sections, especially for the MRI project.

By Ameera A

Sep 11, 2020

The course is build in a way makes it easy to learn. I liked how the assignments had been built and the way of grading quizzes

I think we need a special course for U Net

By Amadeus S

Feb 3, 2022

Very in depth course that covers manipulation of multi-dimensional data. A little copy paste but that seems to be the par on Coursera. Very glad I took the course.

By Philip J S

Sep 13, 2020

Very abstracted and high level course, no "intution" presented compared to Machine Learning of Andrew Ng; Nevertheless, still a great course for AI in Healthcare

By Deleted A

May 25, 2020

This course is a good starter for applications on AI on medicine. I enjoyed. But I felt there can me little more explanations instead of a very short videos.

By Soham T

Jun 15, 2020

The course content was great and all theoretical concepts were clearly explained but, the instructions in the programming assignments were a bit unclear.

By Nikolaos N T

Mar 28, 2021

Getting the right code for week3 assignment was really time-consuming - still have not found what was the error giving me the standardize function

By Ravi P B

May 30, 2020

Nice course to learn basics of machine learning as well as get your hands dirty with application of artificial intelligence to medical diagnosis.

By Muhammed A

May 6, 2020

it's good, I expected it to be richer, but I guess there's no much development in that area to teach currently, I hope it will evolve with time

By İrfan P K

Dec 3, 2023

the codes do not work in google colab, they can only work in the environment on coursera, which is bad, but otherwise it was a good training

By Галинская Т В

May 10, 2020

There were a lot of problems when I was completing the programming task in week 3. I Think that many points are not sufficiently explained.

By Quoc D N

Mar 21, 2021

The lectures are great, but the labs could use more practicing/exercises than just reading a notebook already filled with code that works.

By Nada S

Jun 7, 2020

So nice and complete. May be some programming assignments need to be more clearer or explained, but over all; great course. Thank you.

By Kabakov B

Sep 8, 2020

It is so much better than courses from NLP specialization. But still too many "translate well-known formulae to python code" tasks.

By Praneet S

May 23, 2020

last assignment of week 3 of this course is quite difficult to understand so I feel few more explanation should be mentioned

By Taiki H

May 13, 2020

More detailed skills like data converion would be desirable, but still good starting point for beginners. Thanks!

By Milan G

May 25, 2021

Learned a lot from the course, especially the assignments that helped to translate knowledge into action.

By Leon C

May 16, 2020

Very interesting theory. It could be more in-depth, and the notebooks with autograder contain some bugs.

By Aldemar F V

Oct 16, 2020

Bueno el curso, los materiales. Por mejorar, que no hay buen seguimiento del avance de los estudiantes.

By Faisal R

May 6, 2020

great course But not For the Pharmacy Student because You have to Know The Code Knowledge

By Dishant S

Jul 21, 2020

The last coding exercise is quite lengthy and difficult, and the videos are too short

By MD M R S

May 3, 2020

Liked this course. But some topics were not explained well. Like ROC curve