AI for medical diagnostics

AI is changing the practice of medicine. It helps doctors make more accurate diagnoses, predict the future health of patients, and recommend more effective treatments. As an AI specialist, you have the opportunity to join this transformation of modern medicine. If you are already familiar with some of the math and coding behind AI algorithms and want to develop your skills to solve healthcare problems, this specialization is for you. No prior medical knowledge is required! This program will give you hands-on experience applying advanced machine learning techniques to specific problems in modern medicine: - In Course 1, you will build image classification and segmentation models using convolutional neural networks to make diagnoses of lung and brain diseases. - In Course 2, you will build risk and survival models for cardiovascular diseases 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 basics of deep learning and give you an understanding of the nuances of AI applications in medicine. As a learner, you will be set up for success in this program if you are already familiar with the mathematics 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 intermediate knowledge of Python are essential. If you’re relatively new to machine learning or neural networks, we recommend 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 solve today’s biggest healthcare challenges is growing exponentially. Join us in this specialization and start your journey to shape the future of healthcare. Collapse