AI for Medical Diagnosis
This course is part of AI for Medicine.
This comprehensive course focuses on applying artificial intelligence to medical diagnosis, specifically in analyzing medical imaging data. Students learn to develop CNN models for chest X-ray classification, implement evaluation metrics for diagnostic accuracy, and perform MRI image segmentation. The curriculum combines deep learning techniques with medical domain knowledge, teaching practical skills in handling medical data while addressing unique challenges like class imbalance and patient data privacy.
4.7
(1,956 ratings)
75,094 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 4 more
Powered by
What you'll learn
Build CNN models for medical image classification
Implement diagnostic evaluation metrics and ROC analysis
Develop 3D MRI image segmentation techniques
Handle class imbalance in medical datasets
Apply data augmentation for medical imaging
Skills you'll gain
This course includes:
1.57 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This course provides comprehensive training in applying AI to medical diagnosis through three key modules. Starting with disease detection using computer vision on chest X-rays, students progress to implementing evaluation metrics for diagnostic models, and finally tackle 3D MRI image segmentation. The curriculum emphasizes practical implementation while addressing healthcare-specific challenges like handling patient data, ensuring diagnostic accuracy, and implementing appropriate evaluation metrics.
Disease Detection with Computer Vision Module 1
Module 1 · 8 Hours to complete
Evaluating Models Module 2
Module 2 · 4 Hours to complete
Image Segmentation on MRI Images Module 3
Module 3 · 7 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: AI for Medicine
Instructors
AI Researcher Pioneers Medical Decision Support Systems Through Algorithm Development and Education
Pranav Rajpurkar is a distinguished AI researcher and Assistant Professor at Harvard University's Department of Biomedical Informatics, where he leads groundbreaking research in medical AI applications. With degrees from Stanford University, including a Ph.D. co-advised by Andrew Ng and Percy Liang, he has made significant contributions to developing expert-level deep learning algorithms for medical imaging across specialties including radiology, cardiology, and pathology. As an educator, he created and instructed the popular Coursera AI for Medicine Specialization, which has enrolled over 24,000 students. His work extends beyond academia through co-hosting The AI Health Podcast and co-editing the Doctor Penguin AI Health Newsletter. Through his research lab at Harvard, he focuses on developing AI algorithms, datasets, and interfaces that bridge computer vision, natural language processing, and structured health data, while exploring effective clinician-AI collaboration models
AI Product Manager and Curriculum Developer
Eddy Shyu is an accomplished AI Product Manager at Cisco and previously served as the Curriculum Product Manager at DeepLearning.AI. With a robust portfolio of approximately 40 online courses focused on artificial intelligence, Eddy has made significant contributions to platforms such as Coursera, Udacity, and Cisco Networking Academy. His expertise spans various AI applications, including medical diagnosis and prognosis, advanced computer vision, and natural language processing. Eddy's courses are designed to provide learners with practical skills and in-depth knowledge necessary to excel in the rapidly evolving field of AI.Eddy's commitment to education is reflected in his work on several high-impact courses like "AI for Medical Treatment," "Advanced Learning Algorithms," and "Natural Language Processing with Attention Models." He aims to demystify complex AI concepts, making them accessible to a broad audience. His background in both product management and curriculum development allows him to create engaging learning experiences that cater to diverse learner needs. Through his innovative approach, Eddy Shyu continues to shape the landscape of AI education, empowering students and professionals to harness the power of artificial intelligence effectively.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.