Results of the large language model (LLM) on the synthetic patient dataset
| Category | Subcategory | Accuracy rate |
|---|---|---|
| Patient age | < 60 years | 82.7% |
| ≥ 60 years | 85.7% | |
| Disease type | Adenocarcinoma | 83.7% |
| Squamous cell carcinoma | 92.3% |
Results of the large language model (LLM) on the synthetic patient dataset
| Category | Subcategory | Accuracy rate |
|---|---|---|
| Patient age | < 60 years | 82.7% |
| ≥ 60 years | 85.7% | |
| Disease type | Adenocarcinoma | 83.7% |
| Squamous cell carcinoma | 92.3% |
KD: Conceptualization, Investigation, Data curation, Supervision, Visualization, Software, Resources, Formal analysis. SF: Writing—original draft, Writing—review & editing, Formal analysis. FM: Formal analysis, Conceptualization, Project administration. GL: Methodology, Data curation, Formal analysis, Investigation. JZ: Data curation, Investigation, Validity. YQ: Software, Methodology, Validity.
The authors declare that they have no conflicts of interest.
Not applicable for this study, which does not include actual patient data.
The patient who provided the image for Figure 1 consented to contribute this data in a retrospective study approved by Johns Hopkins University’s Ethics Committee and Institutional Review Board. The related authorization information is as follows: Ethic Committee Name: JHU IRB, Approval Code: IRB-1 (retrospective patient data) Approval Date: 3/18/2020.
Consent for publication has been obtained.
To request the datasets for this study, please contact the corresponding author.
Not applicable.
© The Author(s) 2024.