Chevron Left
Voltar para AI for Medical Diagnosis

Comentários e feedback de alunos de AI for Medical Diagnosis da instituição

1,731 classificações

Sobre o 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....

Melhores avaliações


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 mai 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:

26 — 50 de 370 Avaliações para o AI for Medical Diagnosis

por Aanand

19 de jun de 2020

por omiya h

28 de abr de 2020

por Rohit K

3 de jul de 2020

por Koh Y H

27 de mai de 2020

por Username U

30 de dez de 2020

por Peter S

7 de jul de 2020

por Alif A 1

14 de abr de 2021

por Aravind R K

22 de mar de 2022

por Pranav K S

7 de ago de 2021

por Ajwad A

8 de fev de 2021

por Asad K

19 de jun de 2020

por Jeiran C

11 de mai de 2020

por Santiago I C

22 de abr de 2020

por Murtala

22 de abr de 2020

por Rangel I A W

16 de abr de 2020

por Bharathi k N

29 de jul de 2020

por Asst.Prof.Neethu G T H

3 de mar de 2021

por Rao F M

19 de ago de 2020

por Ganapathy S

22 de abr de 2020

por Uyanga

31 de out de 2020

por Steve S

14 de mai de 2020

por Sagar K

10 de mai de 2020

por KE O

2 de set de 2020

por Kanisk U

8 de mai de 2020

por Surya J

1 de jun de 2020