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Previously submitted to: JMIR Cancer (no longer under consideration since Jul 10, 2025)

Date Submitted: Apr 9, 2025

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Automated Detection of Lymphadenopathy in Breast MRI Using a Large-Language Model

  • Nitin Chetla; 
  • Tamer Hage; 
  • Swapna Vaja; 
  • Shivam Patel; 
  • Mihir Tandon; 
  • Sai Samayamanthula; 
  • Harshita Kacham; 
  • Luis Rodriguez; 
  • Kunal Sukhija

ABSTRACT

As was selected, this is a submission for a research letter (total max word count 750 words), and thus no abstract is required. Thank you.


 Citation

Please cite as:

Chetla N, Hage T, Vaja S, Patel S, Tandon M, Samayamanthula S, Kacham H, Rodriguez L, Sukhija K

Automated Detection of Lymphadenopathy in Breast MRI Using a Large-Language Model

JMIR Preprints. 09/04/2025:75745

DOI: 10.2196/preprints.75745

URL: https://preprints.jmir.org/preprint/75745

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