- Image Segmentation
- Machine Learning
- natural language extraction
- time-to-event modeling
- model interpretation
AI for Medicine
Completed by Mohamed Elashri
June 3, 2020
Approximately 2 months at 10 hours a week to completeMohamed Elashri's account is verified. Coursera certifies their successful completion of DeepLearning.AI AI for Medicine Specialization.
Course Certificates Completed
AI for Medical Diagnosis
AI for Medical Prognosis
AI For Medical Treatment
What you will learn
Diagnose diseases from x-rays and 3D MRI brain images
Predict patient survival rates more accurately using tree-based models
Estimate treatment effects on patients using data from randomized trials
Automate the task of labeling medical datasets using natural language processing
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
AI for Medical Diagnosis
DeepLearning.AI
Taught by: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani & Eddy Shyu
Completed by: Mohamed Elashri by April 29, 2020
AI for Medical Prognosis
DeepLearning.AI
Taught by: Pranav Rajpurkar, Bora Uyumazturk & Eddy Shyu
Completed by: Mohamed Elashri by May 3, 2020
4 weeks, 4-5 hours/week
AI For Medical Treatment
DeepLearning.AI
Taught by: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani & Eddy Shyu
Completed by: Mohamed Elashri by June 3, 2020
3 weeks, 5-6 hours/week