Counting who was not tested: artificial intelligence extraction of genomic and treatment data from hospital records

Paramita Chatterjee, Matthew A Reyna, Ravi B Parikh

Open source

DOI: 10.1016/s1470-2045(26)00449-3
Published: 2026-09
Container: The Lancet Oncology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/s1470-2045-26-00449-3,
  title = {Counting who was not tested: artificial intelligence extraction of genomic and treatment data from hospital records},
  author = {Paramita Chatterjee and Matthew A Reyna and Ravi B Parikh},
  year = {2026},
  journal = {The Lancet Oncology},
  doi = {10.1016/s1470-2045(26)00449-3},
  url = {https://doi.org/10.1016/s1470-2045(26)00449-3}
}

RIS

TY  - JOUR
TI  - Counting who was not tested: artificial intelligence extraction of genomic and treatment data from hospital records
AU  - Paramita Chatterjee
AU  - Matthew A Reyna
AU  - Ravi B Parikh
PY  - 2026
JO  - The Lancet Oncology
DO  - 10.1016/s1470-2045(26)00449-3
UR  - https://doi.org/10.1016/s1470-2045(26)00449-3
ER  -

APA

Chatterjee, P., Reyna, M. A., & Parikh, R. B. (2026). Counting who was not tested: artificial intelligence extraction of genomic and treatment data from hospital records. The Lancet Oncology. https://doi.org/10.1016/s1470-2045(26)00449-3

Source records

crossref · retrieved 2026-09-26T19:47:13.428Z