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Отзывы учащихся о курсе AI for Medical Diagnosis от партнера

Оценки: 1,797

О курсе

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 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....

Лучшие рецензии


2 июля 2020 г.

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


26 мая 2020 г.

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!

Фильтр по:

176–200 из 377 отзывов о курсе AI for Medical Diagnosis

автор: Subtain M

17 июня 2020 г.

Very well structured course with a lot of practical knowledge.

автор: Hoang P L

6 окт. 2020 г.

Great course, it would be better if there are more materials.

автор: Jose A Z P

11 июня 2020 г.

Excellent to learn some examples application of AI in health!

автор: Pankaj P

23 апр. 2020 г.

Very good course and good introduction to usage of pixel net.

автор: Siddharth S

23 мая 2020 г.

well laid out course. The instructors have done a great job!

автор: Zhassulan S

16 апр. 2020 г.

Great course. Loved the way how explained mri segmentation .

автор: Jyotin P

18 авг. 2020 г.

very good course for those who look for applications of ai.

автор: saleena s

25 июля 2020 г.

It was really helpful course for me for my research work...

автор: Khushbu G

20 июня 2020 г.

Very useful course. Real problem solving skills developed.

автор: SIVA H S

25 мая 2020 г.

Good Introductory Course to AI Applications for Diagnosis

автор: zios s

27 мар. 2021 г.

The great course gives great understanding about Medical

автор: Paola C T

4 авг. 2020 г.

Thank you very much for this compact and useful course.

автор: Rahul R

17 сент. 2020 г.

Wonderful Course to learn practical application of AI.

автор: Victor I

11 июня 2020 г.

Perfect for researchers interested in Medical Imaging!

автор: Archibrata C

21 июля 2020 г.

Very informative and well structured course as well.

автор: David G

1 окт. 2022 г.

Enjoyable, clearly outline ideas and presentation.

автор: Chadaporn K

16 июля 2022 г.

The lesson and assignment are useful and practical.

автор: Lakshmi T

20 авг. 2021 г.

Well designed course; Interesting and easy to learn

автор: H.B. G

28 сент. 2020 г.

Best Course to gain knowledge in Biomedical Imaging

автор: Mayank g

15 авг. 2020 г.

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

автор: Deepak K

6 июля 2020 г.


автор: Brenda Z

1 февр. 2021 г.

Very interesting exercises throughout the course!

автор: Muhammad A

22 апр. 2020 г.

excellent videos but assignments are little hard

автор: MD R A

27 июля 2020 г.

Very much informative with a clear explanation.

автор: Sachini C

19 мар. 2021 г.

Thank you for the great learning experience.