Artificial intelligence as a pragmatic adjunct to molecular classification in endometrial cancer
Gunvanti Rathod, Pragnesh Parmar · 2026
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Description
Gunvanti Rathod and Pragnesh Parmar argue in 2026 that smart image tools can widen access to molecular typing for womb cancer. Typing tumors by gene faults now guides prognosis and care, yet gene tests stay scarce in poorer regions. Computer models can learn to guess gene type from standard stained slides that labs already make. Early studies show those guesses can match lab typing for key groups.
The authors frame the tools as a bridge, not a swap, for full gene testing. Slide-based screening could flag which cases most need costly confirmatory tests. That triage role matters most where budgets are tight and experts are few. The piece lays out gains, limits, and the care needed before such tools guide real choices.
Catalog record
| CREATOR | Gunvanti Rathod, Pragnesh Parmar |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 8426 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |