Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Foundation models for tabular medical detection: a robust and generalizable framework for clinical decision support
Related
- An interactive class-agnostic detection framework for generalizable colony counting
- An open structure-guided RNA foundation model for generalizable prediction
- A generalizable Hi-C foundation model for chromatin architecture, single-cell and multiomics analysis across species
- Internal Controls Decision Guide: Five-Step Framework to Act at 95% Detection
- Reliable Detection, Unreliable Clinical Decision-making: Artificial Intelligence Models in Burn Assessment
BibTeX
@article{fayez2026foundation,
title = {{Foundation models for tabular medical detection: a robust and generalizable framework for clinical decision support}},
author = {Mustafa Adil Fayez and Safaa Saad Salim},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-73565-w},
url = {https://www.nature.com/articles/s41598-026-73565-w},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Foundation models for tabular medical detection: a robust and generalizable framework for clinical decision support
AU - Mustafa Adil Fayez
AU - Safaa Saad Salim
PY - 2026
DA - 2026/10/01
JO - Scientific Reports
DO - 10.1038/s41598-026-73565-w
UR - https://www.nature.com/articles/s41598-026-73565-w
SN - 2045-2322
ER -