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

4.7
stars
2,045 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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301 - 325 of 423 Reviews for AI for Medical Diagnosis

By Haiyun H

•

Oct 1, 2020

ありがとうございました。

By RICARDO A F S

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Aug 6, 2020

Great course

By Anamitra M

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Jul 19, 2020

Great course

By ahmed g m

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May 21, 2020

great course

By 鲁伟

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May 12, 2020

great course

By wonseok k

•

Feb 24, 2021

fantastic!!

By Fereshteh H

•

Jun 5, 2023

Thank you

By KEERTHI G 1

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Jul 18, 2020

Excellent

By YangBochen

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Apr 18, 2021

Terrific

By Kamlesh C

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Jun 15, 2020

Thankyou

By Dostonbek X

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Nov 25, 2025

not bad

By Justin H

•

Aug 26, 2023

brutal.

By Santiago G

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Apr 24, 2020

Thanks!

By Qiong W

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May 19, 2025

Great!

By salisu A

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Jun 20, 2021

Thanks

By Minh N B

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May 14, 2021

T

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k

s

By Jeff D

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Nov 8, 2020

Thanks

By Öscar C

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Jul 26, 2025

great

By Abraham G T

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Dec 6, 2021

great

By Ajay K

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Apr 25, 2020

W

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R

T

H

By Ropiyev D

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Nov 26, 2025

good

By Shishir T

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Jul 27, 2022

good

By ROBERT A R V T C

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Aug 28, 2020

nice

By Bikash k K

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Jul 15, 2020

good

By DR. M E

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May 20, 2020

Good