Jolana Kopsa Těšinová, Karolína Dobiášová
The challenges of telemedicine in the Czech Republic from an expert perspective
Casopis lekaru ceskych
analysis electronic medical records scale learn clinical experience currently challenging integration artificial intelligence ai specifically foundational large language models llms analysis pipeline may overcome current limitations modest input sizes inaccuracies biases incomplete knowledge bases explore effectiveness using llm generating realistic clinical data llms summarizing synthesizing information model system simulating randomized clinical trial rct epilepsy demonstrate potential inductive reasoning via medical chart review llmgenerated simulated rct based rct treatment antiseizure medication cenobamate including placebo arm fullstrength drug arm evaluated llmbased pipeline versus human reader simulation based realistic seizure diaries treatment effects reported symptoms clinical notes generated llms multiple different neurologist writing styles simulated cohort 240 patients divided 11 placebo drug arms utilization llms generation clinical notes synthesis data notes aiming evaluate efficacy safety cenobamate seizure control either human evaluator aipipeline ai human analysis focused identifying number seizures symptom reports treatment efficacy statistical analysis comparing 50responder rate median percentage change placebo drug arms well side effect rates arm ai closely mirrored human analysis demonstrating drugs efficacy marginal differences 3 identifying drug efficacy reported symptoms study showcases potential llms accurately simulate analyze clinical trials significantly highlights ability llms reconstruct essential trial elements identify treatment effects recognize reported symptoms within realistic clinical framework findings underscore relevance llms future clinical research offering scalable efficient alternative traditional data mining methods without need specialized medical language training