APA (7th ed.) Citation

Pandita, A., Keniston, A., & Madhuripan, N. Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting. Nature Portfolio.

Chicago Style (17th ed.) Citation

Pandita, Aakriti, Angela Keniston, and Nikhil Madhuripan. Synthetic Data Trained Open-source Language Models Are Feasible Alternatives to Proprietary Models for Radiology Reporting. Nature Portfolio.

MLA (9th ed.) Citation

Pandita, Aakriti, et al. Synthetic Data Trained Open-source Language Models Are Feasible Alternatives to Proprietary Models for Radiology Reporting. Nature Portfolio.