Karthik V. Sarma

@article{pierre2025you,
  title = {“{You're} {Not} {Crazy}”: {A} {Case} of {New-onset} {AI}-associated {Psychosis}},
  author = {Pierre, J. M. and Gaeta, B. and Raghavan, G. and Sarma, K. V.},
  journal = {Innovations in Clinical Neuroscience},
  volume = {22},
  number = {10-12},
  pages = {11},
  year = {2025},
}

@article{sarma_integrating_2026,
  title = {Integrating expert knowledge into large language models improves performance for psychiatric reasoning and diagnosis},
  volume = {355},
  issn = {0165-1781},
  doi = {10.1016/j.psychres.2025.116844},
  journal = {Psychiatry Research},
  author = {Sarma, K. V. and Hanss, K. E. and Halls, A. J. M. and Krystal, A. and Becker, D. F. and Glowinski, A. L. and Butte, A. J.},
  month = jan,
  year = {2026},
  pages = {116844},
}

@article{hanss2025jmir,
  author = {Hanss, K. E. and Sarma, K. V. and Glowinski, A. L. and Krystal, A. and Saunders, R. and Halls, A. J. M. and Gorrell, S. and Reilly, E.},
  title = {Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study},
  journal = {Journal of Medical Internet Research},
  volume = {27},
  number = {1},
  pages = {e69910},
  year = {2025},
  month = may,
  doi = {10.2196/69910},
}

@article{sarma_integrating_2023,
  title = {Integrating {Battlefield} {Documentation} into {Virtual} {Reality} {Medical} {Simulation} {Training}: {Virtual} {Battlefield} {Assisted} {Trauma} {Distributed} {Observation} {Kit} ({BATDOK})},
  volume = {188},
  copyright = {All rights reserved},
  issn = {0026-4075},
  shorttitle = {Integrating {Battlefield} {Documentation} into {Virtual} {Reality} {Medical} {Simulation} {Training}},
  url = {https://doi.org/10.1093/milmed/usad051},
  doi = {10.1093/milmed/usad051},
  number = {Supplement\_6},
  urldate = {2024-11-18},
  journal = {Military Medicine},
  author = {Sarma, K. V. and Barrie, M. G. and Dorsch, J. R. and Andre, T. W. and Polson, J. S. and Ribeira, R. J. and Andre, T. B. and Ribeira, R. J.},
  month = nov,
  year = {2023},
  pages = {110--115},
}

@article{Sarma2021,
  author = {Sarma, K. V. and Harmon, S. and Sanford, T. and Roth, H. R. and Xu, Z. and Tetreault, J. and Xu, D. and Flores, M. G. and Raman, A. G. and Kulkarni, R. and Wood, B. J. and Choyke, P. L. and Priester, A. M. and Marks, L. S. and Raman, S. S. and Enzmann, D. and Turkbey, B. and Speier, W. and Arnold, C. W.},
  doi = {10.1093/jamia/ocaa341},
  issn = {1067-5027},
  journal = {Journal of the American Medical Informatics Association},
  keywords = {deep learning,federated learning,generalizability,privacy,prostate},
  month = feb,
  publisher = {Oxford University Press (OUP)},
  title = {{Federated learning improves site performance in multicenter deep learning without data sharing}},
  url = {https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocaa341/6127556},
  year = {2021},
}