Chevron Left
AI for Medical Diagnosis に戻る

deeplearning.ai による AI for Medical Diagnosis の受講者のレビューおよびフィードバック

4.7
1,191件の評価
266件のレビュー

コースについて

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....

人気のレビュー

RK

Jul 03, 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!

フィルター:

AI for Medical Diagnosis: 176 - 200 / 264 レビュー

by 吳宜真

May 28, 2020

Very useful course!

by Leopoldo C

May 16, 2020

Excellent material!

by VIDHYADARSHINI.R

Aug 31, 2020

INTERESTING COURSE

by Ilyess A

Sep 25, 2020

Excellent course.

by PadmaSai Y

Aug 12, 2020

Excellent Session

by Abhishake G

Aug 05, 2020

Excellent course.

by NGUYEN M D

May 31, 2020

The great course.

by 赵志斌

May 24, 2020

Very good lesson!

by Shruti S

Sep 29, 2020

Great course!!

by DANG M K

May 10, 2020

Perfect course

by MD A R A

Sep 08, 2020

Excellent !!!

by Julio E F

Jun 22, 2020

Great course!

by Franco T

Apr 22, 2020

Great Course!

by 海云 胡

Oct 01, 2020

ありがとうございました。

by Ricardo A F S

Aug 07, 2020

Great course

by Anamitra M

Jul 19, 2020

Great course

by ahmed g m

May 21, 2020

great course

by 鲁伟

May 13, 2020

great course

by Keerthi G

Jul 18, 2020

Excellent

by Kamlesh C

Jun 15, 2020

Thankyou

by Santiago G

Apr 24, 2020

Thanks!

by Ajay K

Apr 25, 2020

W

O

R

T

H

by ROBERT A R V T C

Aug 28, 2020

nice

by Bikash K k

Jul 15, 2020

good

by DR. M E

May 20, 2020

Good