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

4.7
stars
1,967 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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201 - 225 of 410 Reviews for AI for Medical Diagnosis

By Holly R

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Feb 9, 2023

great course with actual data and real life scenarios

By Archibrata C

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Jul 21, 2020

Very informative and well structured course as well.

By David G

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Oct 1, 2022

Enjoyable, clearly outline ideas and presentation.

By Chadaporn K

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Jul 16, 2022

The lesson and assignment are useful and practical.

By Lakshmi T

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Aug 20, 2021

Well designed course; Interesting and easy to learn

By H.B. G

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Sep 28, 2020

Best Course to gain knowledge in Biomedical Imaging

By Mayank g

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Aug 15, 2020

It's a very nice for medical uses in deep learning

By Deepak K

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Jul 6, 2020

BEST PRESENTATION WITH BEST ASSIGNMENT TO PRACTICE

By Brenda Z

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Feb 1, 2021

Very interesting exercises throughout the course!

By Muhammad A

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Apr 22, 2020

excellent videos but assignments are little hard

By Abrar A

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Feb 22, 2023

Very informative course with concrete examples.

By MD R A

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Jul 27, 2020

Very much informative with a clear explanation.

By Muhammad A

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May 13, 2023

Good course for application of AI in medicines

By Sachini C

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Mar 19, 2021

Thank you for the great learning experience.

By Mohan

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Jun 27, 2020

very useful for my medical imaging project

By Zolnamar D

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Mar 6, 2021

Great valuable course, thank you so much!

By Luca N

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Apr 20, 2020

Great Course and very interesting topics!

By Rony

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Jan 12, 2021

ANYTHING BY DEEPLEARNING.AI IS AMAZING!!

By Olwaz O

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Oct 4, 2023

Coursera thanks for this great teaching

By Khaldoon A

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Jun 9, 2020

Very easy to follow and well structured

By Shubhram P

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May 11, 2020

Thanks a lot for such a great course!!!

By ‍최수호(학부학생/의과대학 의

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May 5, 2021

Really helpful for related researches!

By Mario G

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Jul 29, 2020

Very interesting and hands-on course.

By Diana C

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Nov 16, 2020

Very informative and concise course.

By Carlos M C F

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Jun 7, 2020

Very Hard and with good information