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学生对 提供的 AI for Medical Diagnosis 的评价和反馈

931 个评分
219 条评论


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 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....



Jul 03, 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


May 27, 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!


26 - AI for Medical Diagnosis 的 50 个评论(共 221 个)

创建者 Zeynep T

Jul 15, 2020

Complex topics are explained in a simple and straight-forward manner. Really interesting real-life scenarios are used to keep the student interested throughout the whole course. 100% recommend it.

创建者 Peter S

Jul 07, 2020

This is the best course of the specialization. The instructor created one of the best models for chest X-ray diagnosis that was the first model that beat human radiologists in detecting pneumonia (now with COVID-19 that's more important than ever). The original CheXNet model is flawlessly and simply explained so that anyone could understand it with all details served literally on a plate requiring no additional work. This is my favorite course of all specializations! Thanks Pranav & Andrew!

创建者 Asad K

Jun 19, 2020

Extremely well-written content/code and short but illuminating lectures and discussions. Good terse discussions of common metrics, issues with imbalanced datasets, and interesting ways of tackling those issues, U-Net architecture and loss functions for semantic segmentation, and exploration of medical datasets.

创建者 Jeiran C

May 11, 2020

Thanks for gathering all the useful material for using AI in medical imaging. I come from the medical imaging background, and I can't express how useful and precise were your teaching materials. I also would like to thank the Slack support system for all the useful hints on how to solve the assignments.

创建者 Santiago I C

Apr 22, 2020

Good course!! The clasification part is similar to classification in other courses (such as tensorflow course from but some medical basics. Good introductory and some good tips. The segmentation part is very explainatory as it's really what's needed to begin in real practice. Keep up! Recommended

创建者 Murtala

Apr 23, 2020

It is been my dream to apply AI in healthcare. This incredible course has given me the knowledge that I need to approach medical image data from preprocessing to model development, and prediction. I also learnt some radiological and medical jargons along the way.

Thank you so much

创建者 Rangel I A W

Apr 17, 2020

The course teach me to consider some flaws that i had made back in the preprocessing step and is a good refresher of the metrics of clasification models. Also, the brain mri image segmentation assignment was very special because it serves as a starting point for input a voxel in a neural net.

创建者 Bharathi k N

Jul 29, 2020

It is really a great course on applying machine learning and deep learning to medical field. The video lectures are short and easy to follow. Assignments are so great. Really looking forward to take the following courses. Thank you and coursera for this amazing course.

创建者 Ganapathy S

Apr 22, 2020

Overall courses is very good though the course is short with respect to video lecture and course material the assignments are bit lengthy and tough. It would be good to have assignment code walk through as we have refer multiple outside materials python coding.

创建者 Steve S

May 14, 2020

Excellent well metered presentations and quizzes. The final quiz really made you think and understand the entire process. I tried not to use the discussions, however, as the final quiz submission was getting close, reached out to Mubashar. Zeroed in on my issue!

创建者 Sagar K

May 10, 2020

Really good course for learning to train biased and complex image datasets. I was waiting for this course since it was first introduced on Youtube Feeling really satisfied that the course was exactly the same level I was expecting it to be.

创建者 Kanisk U

May 08, 2020

Awesome course. In such a short period of time, I got up and running on the medical image classification. Though, this is just scratching the surface, but hope to use this course base my experiments on. Thanks Andrew Ng & Pranav for starting this course.

创建者 Surya J

Jun 01, 2020

Though I'm not from a medical background, the ideas and concepts explained in this course were very insightful and relate to problems in my domain. Great thanks to the deeplearning ai team and Coursera for putting together a wonderful course yet again.

创建者 Mei-Ling F

Aug 08, 2020

Very detailed yet elementary introduction of AI application in Healthcare. I have taken more advanced courses in the university, and I wish to know this course way before I have taken one. I enjoyed it a lot and it helped me bridge the gap. Thank you!

创建者 Navodini W

May 24, 2020

This course is well organized and have a good flow, that helps to understand all the facts. The assignments are also good and have a lot to learn. Thank you very much for providing a platform for students to learn this area, AI in medical applications.

创建者 Ashish K

May 22, 2020

I came here to know and build model that actually help patients in detecting the diseases and i have got the skills . Coursera is a platform where you not only read, but it also give you the chances to interact with people who are expert in this field.

创建者 Irina G

Jun 22, 2020

This is an excellent course. It teaches advanced topics on two real projects. Homework notebooks are well prepared, and don't cause frustration. I copied all learning materials an will revisit them at depth as I read suggested papers.

Great course.

创建者 Nilesh G

Jun 16, 2020

The Great Course with practical life case studies on Chest xray and MRI image segmentation.

It will really helpful to explore another domain like Medical with implementation of AI.

Thanks Pranav for the Guidance throughout the course

创建者 Philippe

Apr 24, 2020

Nice course. It was fun cool with the applied applications that ML can be used for in medicine. Really like how they focused a week on metrics because it's super important to think about that in order to properly evaluate models.


Jul 02, 2020

The course consists of good assignments and concept clearing explanation. Just one problem which I faced is in the Week 3 assignment where the second last code cell didn't run due to kernel failure. Rest everything was good

创建者 Saurav S

Apr 19, 2020

Would definitely recommend to take this course whoever wants to understand intersection of AI and Medicine. I am expecting improvements with additional tutorials and corrections in the assignments. Brilliant work!

创建者 C A K

Apr 26, 2020

Overall a nice course from Pranav starting from the basics of Neural networks till segmentation using U Net architecture. Kudos to the instructor and the entire team for giving such a well-structured course.

创建者 Rohit K

Jul 03, 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

创建者 Koh Y H

May 27, 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!

创建者 Abhishek m

Jul 12, 2020

The course is awesome. This course has more assignments (including Ungraded), which is very helpful. Simply, I loved it. Looking more of such courses in future too. Thanks deeplearning,ai :)