Search papers, labs, and topics across Lattice.
MIT Critical Data, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States
MIT CSAIL3
0
3
3
Dropping echocardiogram data nearly doubles error rates in cardiac AI models, revealing critical modality dependencies that could impact clinical decisions.
Quantum kernels unlock signal in medical image embeddings where classical methods fail, suggesting a new path for extracting value from medical foundation models.
You can boost medical image super-resolution fidelity by over 3dB just by swapping in a domain-specific VAE, no fancy diffusion architecture needed.
