@article{IR,
      recid = {43658},
      author = {Kiriakedis, Satomi},
      title = {Artificial intelligence in urology: using ChatGPT-4 to  analyze 24-hour urine results and generate custom dietary  recommendations for nephrolithiasis},
      publisher = {Oregon Health and Science University},
      address = {2024},
      number = {IR},
      abstract = {The increasing incidence of nephrolithiasis underscores  the need for effective, accessible tools to aid urologists  in preventing recurrence. Despite dietary modification’s  crucial role in prevention, targeted dietary counseling  using 24-hour urine collections is underutilized. This  study evaluates ChatGPT-4, a multi-modal large language  model, in analyzing urine collection results and providing  custom dietary advice, exploring the potential for  artificial intelligence-assisted analysis and counseling.},
      url = {http://digitalcollections.ohsu.edu/record/43658},
      doi = {https://doi.org/10.6083/bpxhc43658},
}