| 1 | 9/7 | Labor Day | 9/9 | Intro to class (Lab 0) |
| 2 | 9/14 | What’s different in health? modalities, imbalance, rare events, stakeholders, etc. (MP1 - omics) | 9/16 | Intro to clinical care and understanding clinical data |
| 3 | 9/21 | Classification methods in healthcare: diagnosis, prognosis, segmentation | 9/23 | Unsupervised methods for healthcare: subtype discovery, pattern discovery |
| 4 | 9/28 | Dimension reduction and visualization (MP2 – physiological signals) | 9/30 | Risk Stratification |
| 5 | 10/5 | Causal Inference in Healthcare | 10/7 | ConvNets & PyTorch tutorial |
| 6 | 10/12 | CNNs for medical imaging and signals (MP3 - medical imaging)(Lab 1) | 10/14 | Explanations and attributions (Deadline to form project groups) |
| 7 | 10/19 | Medical Image Segmentation Tutorial | 10/21 | Graphs and Networks in Healthcare (Lab 2) |
| 8 | 10/26 | Graph ML & Healthcare Applications | 10/28 | (Quiz1) (Project proposals) |
| 9 | 11/2 | Guest Lecture - ML for Automated Pain Assessment | 11/4 | Sequence modeling in healthcare - Part I |
| 10 | 11/9 | Sequence modeling in healthcare - Part II | 11/11 | Unsupervised deep learning for healthcare, self-supervised learning |
| 11 | 11/16 | Clinical NLP and representation learning (MP4 - medical text) | 11/18 | Guest Lecture - AI in Medical Device Industry (Project mid-reports) |
| 12 | 11/23 | Clinical foundation models | 11/25 | Guest Lecture - Medical AI evaluation and deployment |
| 13 | 11/30 | Medical AI model robustness | 12/02 | Guest Lecture - AI in Neurology |
| 14 | 12/7 | Uncertainty Quantification | 12/9 | Fairness in Medical AI |
| 15 | 12/14 | (Quiz2) | 12/16 | Project presentations |
| 16 | 12/21 | - | 12/23 | Reports due |