Artificial intelligence across oncologic theranostics: evidence for patient stratification, dosimetry, and adaptive radiopharmaceutical therapy.

Banala M, Ezuddin S, Foley M, Kuker R

DOI: 10.3389/fnume.2026.1935247
Published: 2026
Container: Frontiers in nuclear medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnume.2026.1935247,
  title = {Artificial intelligence across oncologic theranostics: evidence for patient stratification, dosimetry, and adaptive radiopharmaceutical therapy.},
  author = {Banala M and Ezuddin S and Foley M and Kuker R},
  year = {2026},
  journal = {Frontiers in nuclear medicine},
  doi = {10.3389/fnume.2026.1935247},
  url = {https://doi.org/10.3389/fnume.2026.1935247}
}

RIS

TY  - JOUR
TI  - Artificial intelligence across oncologic theranostics: evidence for patient stratification, dosimetry, and adaptive radiopharmaceutical therapy.
AU  - Banala M
AU  - Ezuddin S
AU  - Foley M
AU  - Kuker R
PY  - 2026
JO  - Frontiers in nuclear medicine
DO  - 10.3389/fnume.2026.1935247
UR  - https://doi.org/10.3389/fnume.2026.1935247
ER  -

APA

M, B., S, E., M, F., & R, K. (2026). Artificial intelligence across oncologic theranostics: evidence for patient stratification, dosimetry, and adaptive radiopharmaceutical therapy.. Frontiers in nuclear medicine. https://doi.org/10.3389/fnume.2026.1935247

Source records

pubmed · retrieved 2026-09-27T08:38:52.885Z