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Отзывы учащихся о курсе AI for Medical Diagnosis от партнера

Оценки: 1,798

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:

151–175 из 377 отзывов о курсе AI for Medical Diagnosis

автор: Andrew B

1 мая 2020 г.

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

автор: Trashgim M (

27 сент. 2022 г.

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

автор: Mia D

11 сент. 2020 г.

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

автор: Sreejith S

1 июля 2020 г.

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

автор: Mohan N

19 апр. 2020 г.

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

автор: swarna a

1 сент. 2021 г.

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

автор: Gustavo L

16 дек. 2020 г.

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

автор: Angel R S F

20 февр. 2022 г.

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

автор: Fernando M

2 нояб. 2020 г.

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

автор: Mehrsa J

25 мая 2020 г.

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

автор: Priyamvada R

4 июля 2020 г.

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

автор: James H

30 апр. 2020 г.

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

автор: Каррар А А З А А

13 дек. 2020 г.

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

автор: emna g

18 апр. 2022 г.

trés utile et efficace pour mon projet.

J'ai appris de nouvelles notions.

автор: Omar S

10 апр. 2021 г.

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

автор: Yathurshan K

16 окт. 2022 г.

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

автор: Marko N

20 сент. 2020 г.

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

автор: Jitender S V

12 мая 2020 г.

Really great course. Learned loss weights and metrics implementation.


14 мая 2020 г.

Fantastic course!!!

And the most excellent part were the mentors!!

автор: Lei G

22 апр. 2020 г.

very useful for working in medicine industry using AI technology!

автор: Chun Y Y

20 авг. 2020 г.

Good and start learning the practical aspects of AI in Medicine

автор: Sania F

10 авг. 2020 г.

A well structured course for people interested in this domain.

автор: mohamed a

20 июля 2020 г.

So helpful course for any one want to deal with medicine field

автор: Subin e k

12 июля 2020 г.

Great course for learning learning medical image segmentation.

автор: Sabeerali K

26 июня 2020 г.

Best Course ever if you want to learn AI for Medical treatment