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

4.7
stars
1,984 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 3, 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 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!

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251 - 275 of 413 Reviews for AI for Medical Diagnosis

By shyam s

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May 6, 2020

Crisp and relevant explanations

By John M

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Apr 14, 2023

It was a fantastic experience.

By Pham V V

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Jan 24, 2021

Excellent course! Very useful!

By Muhammad U U

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Sep 20, 2020

Very good course for beginners

By Arturo P

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May 16, 2020

Great course! learned a lot <3

By 西川　尚之

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May 5, 2020

Great! We just have to learn!

By Sayed H

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Aug 8, 2020

Excellent course taught well

By Rudra P

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Jul 19, 2020

Very good course. thank you.

By Hitesh D

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May 4, 2021

Good Learning experience!!!

By Elena G

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Jan 28, 2021

Great course! Many thanks!

By rachit s

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May 8, 2020

Very well explained course.

By Brototo D

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Jan 18, 2021

Sweet course! very helpful

By n a

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Nov 6, 2020

Excellent!!!!

thanks a lot.

By Manikant R

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Jul 31, 2020

Very interesting projects

By Anggi Z

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Aug 5, 2020

Learn many skill in here

By Rodica A

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Jul 15, 2020

Some Courses are good.

By Radhouane B

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Feb 27, 2023

Very challenging one!

By William H

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Mar 13, 2022

challenging, but fun.

By CSE_60 K S

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Aug 16, 2021

Exceptional course!!!

By Dennis L

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Jan 5, 2024

Using TF1.0 outdated

By Lee, B

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Apr 28, 2020

Thank you very much.

By 吳宜真

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May 28, 2020

Very useful course!

By Leopoldo C

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May 16, 2020

Excellent material!

By Ngoc T N

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Jul 21, 2024

Fantastic course!!