AI For Medical Treatment
Learn to apply AI for medical treatment decisions, from analyzing clinical trials to interpreting medical texts.
Learn to apply AI for medical treatment decisions, from analyzing clinical trials to interpreting medical texts.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI for Medicine Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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پښتو, বাংলা, اردو, 2 more
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What you'll learn
Analyze treatment effects using randomized control trial data
Develop medical question answering systems with NLP
Master machine learning interpretation for healthcare
Implement disease label extraction from clinical reports
Evaluate and interpret AI models in medical contexts
Apply statistical methods to treatment effect estimation
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course focuses on applying artificial intelligence to medical treatment decisions. Students learn to analyze data from randomized control trials, estimate treatment effects, and evaluate machine learning models in healthcare contexts. The curriculum covers advanced topics including medical question answering systems, natural language processing for clinical text, and interpretation of AI models in medical applications. Through hands-on projects, learners develop practical skills in using AI to improve patient treatment outcomes and automate medical data analysis.
Treatment Effect Estimation
Module 1 · 7 Hours to complete
Medical Question Answering
Module 2 · 7 Hours to complete
ML Interpretation
Module 3 · 7 Hours to complete
Fee Structure
Instructors
AI Product Manager and Expert in AI Education
Eddy Shyu is a highly experienced AI Product Manager at Cisco, and was previously the Curriculum Product Manager at DeepLearning.AI. With a strong foundation in AI education and product management, Eddy has played a pivotal role in developing a wide range of online courses on Artificial Intelligence. Over the course of his career, Eddy has designed and built around 40 AI-focused online courses, which are available on prestigious platforms like Coursera, DeepLearning.AI, Udacity, and Cisco Networking Academy. His courses have reached thousands of learners globally, helping them master critical AI concepts and technologies.With a background in both AI education and AI product management, Eddy’s expertise bridges the gap between cutting-edge AI technologies and the needs of learners and businesses alike. His work at Cisco and DeepLearning.AI has enabled organizations and individuals to leverage AI for practical applications in various industries, particularly healthcare, technology, and business.
AI for Medicine Expert and Instructor at DeepLearning.AI
Pranav Rajpurkar is an Instructor at DeepLearning.AI and a leading researcher in the field of AI for Medicine. He is currently a faculty member at Harvard University in the Department of Biomedical Informatics, where his research focuses on leveraging artificial intelligence (AI) and machine learning to address key challenges in clinical medicine. By developing novel algorithms and datasets, Pranav aims to drive AI technologies that can assist in medical decision-making, improving outcomes and transforming the healthcare landscape.Pranav is widely recognized for his contribution to the intersection of AI and healthcare. He is the co-host of the AI Health Podcast and co-editor of the Doctor Penguin AI Health Newsletter, where he discusses the latest trends and advancements in AI applications in medicine. His expertise has made him a sought-after educator, and he has played a pivotal role in instructing the Coursera course series on AI for Medicine. He also founded the AI for Healthcare Bootcamp Program, helping to train professionals in the rapidly growing field of AI in healthcare.
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