| 1 | 9/1 | Labor Day | 9/3 | Intro to class (Lab 0) |
| 2 | 9/8 | What’s different in health? modalities, imbalance, rare events, stakeholders, etc. (MP1 - omics) | 9/10 | Intro to clinical care and understanding clinical data |
| 3 | 9/15 | Classification methods in healthcare: diagnosis, prognosis, segmentation | 9/17 | Unsupervised methods for healthcare: subtype discovery, pattern discovery |
| 4 | 9/22 | Dimension reduction and visualization (MP2 – physiological signals) | 9/24 | TBD |
| 5 | 9/29 | TBD | 10/1 | Causal Inference in Healthcare |
| 6 | 10/6 | ConvNets & PyTorch tutorial (MP3 - medical imaging) | 10/8 | Deep learning for healthcare: Intro (Deadline to form project groups) |
| 7 | 10/13 | CNNs for medical imaging and signals | 10/15 | Digital health (Guest Lecture - TBA) |
| 8 | 10/20 | Explanations and attributions (Quiz1) | 10/22 | TBD (Project proposals) |
| 9 | 10/27 | Graphs and Networks in Healthcare (MP4 - medical text) | 10/29 | Graph ML & Healthcare Applications |
| 10 | 11/3 | Sequence modeling in healthcare - Part I | 11/5 | Sequence modeling in healthcare - Part II |
| 11 | 11/10 | AI in Medical Device Industry (Guest Lecture - TBA) | 11/12 | Unsupervised deep learning for healthcare, self-supervised learning (Project mid-reports) |
| 12 | 11/17 | Clinical foundation models | 11/19 | Medical AI evaluation and deployment |
| 13 | 11/24 | Ethical AI for healthcare (Guest Lecture - TBA) | 11/26 | Medical AI model robustness |
| 14 | 12/1 | Uncertainty Quantification | 12/3 | Fairness in Medical AI |
| 15 | 12/8 | TBD (Quiz2) | 12/10 | Project presentations |
| 16 | - | - | 12/17 | Reports due |