Chevron Left
Volver a AI for Medical Diagnosis

Opiniones y comentarios de aprendices correspondientes a AI for Medical Diagnosis por parte de

1,643 calificaciones
357 reseña

Acerca del Curso

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....

Principales reseñas

2 de jul. de 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

26 de may. de 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!

Filtrar por:

176 - 200 de 357 revisiones para AI for Medical Diagnosis

por SIVA H S

25 de may. de 2020

Good Introductory Course to AI Applications for Diagnosis

por zios s

27 de mar. de 2021

The great course gives great understanding about Medical

por Paola C T

4 de ago. de 2020

Thank you very much for this compact and useful course.

por Rahul R

17 de sep. de 2020

Wonderful Course to learn practical application of AI.

por Victor I

11 de jun. de 2020

Perfect for researchers interested in Medical Imaging!

por Archibrata C

21 de jul. de 2020

Very informative and well structured course as well.

por Lakshmi T

20 de ago. de 2021

Well designed course; Interesting and easy to learn

por H.B. G

28 de sep. de 2020

Best Course to gain knowledge in Biomedical Imaging

por Mayank g

15 de ago. de 2020

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

por Deepak K

6 de jul. de 2020


por Brenda Z

1 de feb. de 2021

Very interesting exercises throughout the course!

por Muhammad A

22 de abr. de 2020

excellent videos but assignments are little hard

por MD R A

27 de jul. de 2020

Very much informative with a clear explanation.

por Sachini C

19 de mar. de 2021

Thank you for the great learning experience.

por Mohan

27 de jun. de 2020

very useful for my medical imaging project

por Zolnamar D

6 de mar. de 2021

Great valuable course, thank you so much!

por Luca N

20 de abr. de 2020

Great Course and very interesting topics!

por Rony R

12 de ene. de 2021


por Khaldoon A

9 de jun. de 2020

Very easy to follow and well structured

por Shubhram P

11 de may. de 2020

Thanks a lot for such a great course!!!

por ‍최수호(학부학생/의과대학 의

5 de may. de 2021

Really helpful for related researches!

por Mario G

29 de jul. de 2020

Very interesting and hands-on course.

por Diana C

16 de nov. de 2020

Very informative and concise course.

por Carlos M C F

7 de jun. de 2020

Very Hard and with good information

por Peter

10 de jul. de 2020

very good course , highly recommend