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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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76 - 100 of 401 Reviews for AI for Medical Diagnosis

By Hiren K

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May 17, 2020

Amazing course with lot of insights in how AI can be useful in medical field. Kudos to Andrew Ng, Pranav Rajpurkar and the whole deeplearning.ai team for creating this course.

By Carlos A

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Apr 27, 2020

The course suitable perfectly for the professional with some knowledge of the ML that want to get further experience particularly about image classification on medical area.

By Alex C C

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Sep 20, 2023

I personally enjoyed how practical this course was and how interesting the chosen topics were. I'd recommend it to someone who is also getting started with medical imaging

By Jim H

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Sep 14, 2023

Great course and introduction to image classification and segmentation. Need to do some more reading on Tensorflow and Keras, but the course helps with the fundamentals.

By Sagar P

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Apr 27, 2020

Great course for implementing the concept of AI in the Medical Sector, with the proper guidance of the evaluation of a model for measuring the performance of the model.

By VIJAY K V

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Sep 18, 2020

I absolutely enjoyed going through this course. Pranav and his team did a very good job in explaining the key concepts in how AI is being used for medical diagnosis.

By Yashovardhan S

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Jul 26, 2020

Such a great course on the cutting edge technology application with medical diagnosis. I would recommend every deep learning practitioner to enhance their knowledge.

By Adam M

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Dec 24, 2020

The material is important, and the videos were clear and simple. The assignments could be cleaned from their bulky print statements, but that is an aesthetic qualm.

By Amit A

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Aug 21, 2023

Instructor is awesome. The material is very well explained. It's great to apply ML on a problem domain and learn approaches beyond the foundational ML curriculum.

By D J R K

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Oct 21, 2020

The course videos are excellent and the best part of the course is in-depth assignments which are really helpful in correlating the contents of the course videos.

By Marwa A E

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May 28, 2020

Amazing Course, the exercises are abit hard and not that completely explained in the examples but overall, I'd recommend this course aloooot.

Thank you so much :)

By Andre A

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Feb 22, 2021

Without any doubt, it is an important course for those who want to learn more about AI applications in Medical Diagnosis. The course is also well structured.

By Lakshmana P

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Mar 3, 2021

Excellent content and the way the learners knowledge is evaluated is good. I got good mentor support replying my questions and resolving issues quickly

By Wasim A

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May 13, 2020

Very informative and practical. I learned so many things, It helps me to boost my confidence that I can apply these concepts in the field of medicine.

By Brianna R

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May 21, 2020

Learned so much in this short course! Great lectures, study material, and assignments. Incredibly excited for the next course in this Specialization.

By Nitin

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May 28, 2020

Thanks a lot Pranav for this course, I am now able to understand the concept of sensitivity, specificity and roc like evaluation terms much better.

By Prashant M

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Jun 29, 2020

Excellent course... there was no course available online which dedicates AI for biomedical domain. Huge thanks to Andrew Ng and Pranav Rajapurkar

By Vincent L

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Sep 14, 2020

Very interesting. A lot of notion which requieres more than 3 weeks to be "digested". I will for sure come back on it for additionnal thinking.

By MUSTAFA M T

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May 7, 2020

As a student and software developer, I really enjoyed this course. If you're interested at medical imaging and AI, you should join that course!

By Sawrup K

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Jun 28, 2020

This course really helps me a lot. Who wants to jump in medical image classification or disease detection, they should enroll in this course.

By Jay U

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Apr 24, 2020

Excellent content. Thank you for putting this course together. Would love additional material on deep learning methods related to healthcare.

By Pramit D

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Dec 16, 2021

The course is great in terms of theory and implementation of that theory. But a little more explanation in image segmentation is recommened.

By Mohamed Q

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Jun 11, 2020

a very well done course, the community is very helpful and the mentors are awesome, i like the events they organized throughout this course

By Haroon K

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Aug 19, 2020

Great course. Prior knowledge of deep learning really help me. so i recommend to take basic deep learning course before this course.

By Valijon N

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Aug 7, 2020

Buenas tardes

Me ha gustado mucho el curso, donde aprendí como funciona deep learning y como se definen los modelos de entrenamiento.