AI for Medicine
About this course
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. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the Deep Learning Specialization.
67/100
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What you'll learn
- build and train machine learning models for diagnostic tasks
- develop predictive models for patient prognosis
- apply AI techniques to recommend personalized treatments
- handle and preprocess healthcare datasets like electronic health records
- evaluate model performance with metrics relevant to clinical settings
- recognize and mitigate bias and ethical concerns in medical AI applications
Course objectives
- apply deep‑learning methods to concrete medical problems
- understand the nuances of AI deployment in healthcare contexts
- gain practical experience with real‑world medical data
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