Conditional Perplexity Scoring for Large Language Model−Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation

Takanobu Hirosawa, Yukinori Harada, Ren Kawamura, Taro Shimizu

Open source

DOI
10.2196/98819
Published
2026-09-09
Container
JMIR Formative Research
Publisher
JMIR Publications Inc.
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.2196/98819,
  title = {Conditional Perplexity Scoring for Large Language Model−Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation},
  author = {Takanobu Hirosawa and Yukinori Harada and Ren Kawamura and Taro Shimizu},
  year = {2026},
  journal = {JMIR Formative Research},
  doi = {10.2196/98819},
  url = {https://doi.org/10.2196/98819}
}

RIS

TY  - JOUR
TI  - Conditional Perplexity Scoring for Large Language Model−Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation
AU  - Takanobu Hirosawa
AU  - Yukinori Harada
AU  - Ren Kawamura
AU  - Taro Shimizu
PY  - 2026
JO  - JMIR Formative Research
DO  - 10.2196/98819
UR  - https://doi.org/10.2196/98819
ER  - 

APA

Hirosawa, T., Harada, Y., Kawamura, R., & Shimizu, T. (2026). Conditional Perplexity Scoring for Large Language Model−Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation. JMIR Formative Research. https://doi.org/10.2196/98819

Source records