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
1,780 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:

26 - AI for Medical Diagnosis 的 50 個評論(共 375 個)

創建者 Aanand

2020年6月19日

創建者 omiya h

2020年4月28日

創建者 Rohit K

2020年7月3日

創建者 Koh Y H

2020年5月27日

創建者 Username U

2020年12月30日

創建者 Peter S

2020年7月7日

創建者 Alif A 1

2021年4月14日

創建者 Aravind R K

2022年3月22日

創建者 Pranav K S

2021年8月7日

創建者 Ajwad A

2021年2月8日

創建者 Asad K

2020年6月19日

創建者 Jeiran C

2020年5月11日

創建者 Santiago I C

2020年4月22日

創建者 Murtala

2020年4月22日

創建者 Rangel I A W

2020年4月16日

創建者 Bharathi k N

2020年7月29日

創建者 Asst.Prof.Neethu G T H

2021年3月3日

創建者 Rao F M

2020年8月19日

創建者 Ganapathy S

2020年4月22日

創建者 Uyanga

2020年10月31日

創建者 Steve S

2020年5月14日

創建者 Sagar K

2020年5月10日

創建者 KE O

2020年9月2日

創建者 Kanisk U

2020年5月8日

創建者 Surya J

2020年6月1日