Chevron Left
返回到 AI for Medical Diagnosis

學生對 deeplearning.ai 提供的 AI for Medical Diagnosis 的評價和反饋

4.7
1,779 個評分

課程概述

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....

熱門審閱

RK

2020年7月2日

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

2020年5月26日

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!

篩選依據:

126 - AI for Medical Diagnosis 的 150 個評論(共 375 個)

創建者 Abhay S

2020年5月21日

創建者 Léo M

2020年5月29日

創建者 Abiodun M

2021年8月19日

創建者 Ignacio M S

2020年7月1日

創建者 Kiran U K

2020年4月22日

創建者 Fatemeh B

2020年7月25日

創建者 Gilles P P

2020年5月16日

創建者 Ali N

2020年5月21日

創建者 Muneyoshi B

2020年4月24日

創建者 Eric M B

2020年9月20日

創建者 Raihan A V

2020年8月12日

創建者 Leandro A H T

2020年9月2日

創建者 Le N T D

2020年6月21日

創建者 Saurav M

2020年11月5日

創建者 Krishanu B

2021年4月3日

創建者 Hamed M

2020年11月25日

創建者 Sourish G

2020年6月12日

創建者 Matteo R

2020年4月18日

創建者 Alice F

2020年5月6日

創建者 Agam T

2020年8月24日

創建者 Shweta T

2020年8月10日

創建者 Veeresh S

2020年5月26日

創建者 Siladittya M

2020年4月22日

創建者 M. A Z

2020年6月19日

創建者 Andrew B

2020年5月1日