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A comprehensive survey of foundation models in medicine
Foundation models (FMs) are large-scale deeplearning models that are developed using
large datasets and self-supervised learning methods. These models serve as a base for …
large datasets and self-supervised learning methods. These models serve as a base for …
Foundation Models in Radiology: What, How, Why, and Why Not
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep
learning models capable of interpreting and generating both textual and imaging data. Such …
learning models capable of interpreting and generating both textual and imaging data. Such …
End-to-end reproducible AI pipelines in radiology using the cloud
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a
significant portion of the published literature lacks transparency and reproducibility, which …
significant portion of the published literature lacks transparency and reproducibility, which …
Machine learning enabled prediction of digital biomarkers from whole slide histopathology images
Current predictive biomarkers generally leverage technologies such as immunohis-
tochemistry or genetic analysis, which may require specialized equipment, be time-intensive …
tochemistry or genetic analysis, which may require specialized equipment, be time-intensive …
Prognostic value of FDX1, the cuprotosis key gene, and its prediction models across imaging modalities and histology
Background Cuprotosis has been identified as a novel way of cell death. The key regulator
ferredoxin 1 (FDX1) was explored via pan-cancer analysis, and its prediction models were …
ferredoxin 1 (FDX1) was explored via pan-cancer analysis, and its prediction models were …
[PDF][PDF] The Prognostic Value of Foundational Radiomics and Clinical Features in Locally Advanced Non-Small Cell Lung Cancer in NRG Oncology Trial RTOG 0617
T Upadhaya, EM McKenzie, IJ Chetty, KM Atkins - iccr2024.org
This study investigated the feasibility of the foundational radiomics technique on the
downstream task of predicting overall survival outcomes in patients with locally advanced …
downstream task of predicting overall survival outcomes in patients with locally advanced …