Udemy - AI For Digital Health And Wellbeing
- Category Other
- Type Tutorials
- Language English
- Total size 1.0 GB
- Uploaded By freecoursewb
- Downloads 171
- Last checked 2 days ago
- Date uploaded 3 months ago
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Infohash : 81617BC7A3CEB260C69FB6019BB8031A01D97F17
AI For Digital Health And Wellbeing
https://WebToolTip.com
Published 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.04 GB | Duration: 1h 12m
Understand AI in medicine, digital health, and wellbeing: clinical ML, multimodal AI & synthetic data to explainability
What you'll learn
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.
Requirements
No prior experience in healthcare or AI is strictly required.
Files:
[ WebToolTip.com ] Udemy - AI For Digital Health And Wellbeing- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - AI and Digital Health
- 1 - Introduction to Medical Data.mp4 (57.7 MB)
- 2 - Data Standards and Sources.mp4 (84.3 MB)
- 3 - Data Quality and Governance.mp4 (37.8 MB)
- 4 - Statistical thinking in Health Data Science.mp4 (170.2 MB)
- 5 - Big Data and Real World Evidence.mp4 (50.4 MB)
- 10 - Transfer Learning and Pretrained Models in Medicine.html (0.0 KB)
- 11 - FewShot and ZeroShot Learning in Clinical Settings.html (0.0 KB)
- 12 - Active Learning and HumanintheLoop Annotation.html (0.0 KB)
- 13 - Causal Inference and Counterfactual Reasoning.html (0.0 KB)
- 14 - Hybrid Models in Healthcare.html (0.0 KB)
- 15 - Challenges in Clinical Machine Learning.html (0.0 KB)
- 6 - Core AI Techniques in Healthcare.mp4 (350.4 MB)
- 7 - Supervised vs Unsupervised Learning in Health AI.mp4 (226.6 MB)
- 8 - Multimodal Learning in Healthcare.mp4 (85.8 MB)
- 9 - Synthetic Health Data Innovation.html (0.0 KB)
- Bonus Resources.txt (0.1 KB)
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