Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Emmanouil Giorgakis, Hailey Hardgrave, Nicholas Callais, Allison Wells · 2024
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Description
Kidney transplant teams increasingly biopsy a donor organ before implanting it, and a machine learning tool now offers to read such tissue without a biopsy. Emmanouil Giorgakis and co-authors raise a caution about that tool in this 2024 commentary. Organ shortage has pushed centers to accept kidneys from older or sicker donors, with decent results. A pre-implant biopsy helps judge such an organ and match it to a recipient.
The virtual biopsy promises the same judgment without the needle. The authors argue that at aggressive centers — those that already accept riskier organs — the tool could backfire. If its scores push teams to decline borderline kidneys, discards could rise instead of fall. Real biopsies have their own flaws, from weak samples to harm. The piece weighs a new aid against the cost of wasted organs.
Catalog record
| CREATOR | Emmanouil Giorgakis, Hailey Hardgrave, Nicholas Callais, Allison Wells |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 10 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |