Understand AI in medicine, digital health, and wellbeing: clinical ML, multimodal AI & synthetic data to explainability
Sub Category
- Other Business
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Objectives
- Understand core AI methods—including machine learning, NLP, and deep learning—as applied to health and wellbeing domains.
- Analyze real-world clinical use cases using techniques like multimodal learning, transfer learning, and synthetic data.
- Evaluate challenges in medical AI such as data sparsity, bias, domain shift, and regulatory constraints.
- Design AI workflows integrating domain knowledge, annotation strategies, and human-in-the-loop learning.
- Apply concepts like causal inference and counterfactual reasoning to health interventions and clinical decisions.
- Explore emerging trends like foundation models, hybrid AI systems, and personalized digital health agents.
Pre Requisites
- No prior experience in healthcare or AI is strictly required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)