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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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151 - 175 of 401 Reviews for AI for Medical Diagnosis

By Alice F

May 6, 2020

I enjoyed this course. The lessons are clear and the laboratories are very interesting.

By Agam T

Aug 24, 2020

I highly recommend this course to people looking to enter the AI in healthcare domain.

By hasan A

Sep 8, 2023

Great Course , it give the student a point to start from so he can organize his ideas

By Shweta T

Aug 10, 2020

My area of research is Medical Image Processing. The course helped me to learn a lot.

By Veeresh S

May 26, 2020

It was the course I was looking for expanding my knowledge in AI HelathCare thank you

By Siladittya M

Apr 22, 2020

I needed this course. Thanks a lot. Learnt a lot and it will help a lot in my career.

By M. A Z

Jun 19, 2020

Wish to learn more and hopefully instructor teach us the code step by steps as well

By Andrew B

May 1, 2020

Great course. I especially like the metrics evaluation part of the course (week 2).

By Trashgim M (

Sep 27, 2022

This course was the perfect introduction to how ML is used for medical diagnosis!

By Mia D

Sep 11, 2020

Great course and specialization, organised well and contain really diverse topics.

By Sreejith S

Jul 1, 2020

A good introductory course on getting started with applying AI in medical domain.

By Mohan N

Apr 19, 2020

This is a clear and engaging course to get started with AI and medical diagnosis.

By swarna a

Sep 1, 2021

Great course for Medical image analysis both theoretical and hands on knowledge

By Gustavo L

Dec 16, 2020

Muy buena elección de temas, buenos ejercicios y buenas referencias de material.

By Angel R S F

Feb 20, 2022

Comparte los conceptos básicos y explica como evaluar este tipo de herramientas

By Fernando G M G

Nov 2, 2020

Great course, I am eager to take the next two courses in this specialization.

By Mehrsa J

May 25, 2020

Very informative as a medical researcher with a background in cancer research

By Priyamvada R

Jul 4, 2020

Thank you for the great opportunity to learn and understand in a simple way

By James H

Apr 30, 2020

First rate course. Sophisticated methods applied to real medical problems.

By Каррар А А З А А

Dec 13, 2020

its was a hard task but very nice and informative , i loved it personally

By emna g

Apr 18, 2022

trés utile et efficace pour mon projet.

J'ai appris de nouvelles notions.

By Omar S

Apr 10, 2021

Week 2 assignment have the validation model missing, please correct that

By Yathurshan K

Oct 16, 2022

Great course to learn about the basics of medical image segmentation.

By Marko N

Sep 20, 2020

Amazing course with lots of lab exercises and other useful materials.

By Jitender S V

May 12, 2020

Really great course. Learned loss weights and metrics implementation.