Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation

Lohitha Gumma, Bhargavi Gumma

Open source

DOI: 10.1007/s00210-026-05700-3
Published: 2026-08-04
Container: Naunyn-Schmiedeberg's Archives of Pharmacology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00210-026-05700-3,
  title = {Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation},
  author = {Lohitha Gumma and Bhargavi Gumma},
  year = {2026},
  journal = {Naunyn-Schmiedeberg's Archives of Pharmacology},
  doi = {10.1007/s00210-026-05700-3},
  url = {https://doi.org/10.1007/s00210-026-05700-3}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation
AU  - Lohitha Gumma
AU  - Bhargavi Gumma
PY  - 2026
JO  - Naunyn-Schmiedeberg's Archives of Pharmacology
DO  - 10.1007/s00210-026-05700-3
UR  - https://doi.org/10.1007/s00210-026-05700-3
ER  -

APA

Gumma, L., & Gumma, B. (2026). Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation. Naunyn-Schmiedeberg's Archives of Pharmacology. https://doi.org/10.1007/s00210-026-05700-3

Source records

crossref · retrieved 2026-09-26T15:52:20.300Z