Hassan Shojaee-Mend, Reza Mohebbati, Mostafa Amiri, Alireza Atarodi
Evaluating the strengths and weaknesses of large language models in answering neurophysiology questions
Scientific reports
deep learning dl new technology assist prenatal ultrasound us detection congenital heart disease chd prenatal stage hence economicepidemiologic evaluation aka costutility analysis required assist policymakers deciding whether adopt new technology incremental costutility ratios cur adding dl assisted ultrasound dlus current provision us plus pulse oximetry pox calculated building spreadsheet model integrated demographic economic epidemiological health service utilization screening performance survival lifetime quality life data based standard formula curincrease intervention costsdecrease treatment costsaverted qaly losses adding dl uspox us screening data based realworld operational routine reports opposed research studies dl screening cost 145 usd based israeli us costs plus 2054 usd reading recording screens addition dl assisted us associated increased sensitivity 95 vs 581 resulted far fewer undiagnosed infants 16 vs 102 29 vs 154 560 659 births respectively adoption dlus add 1204 qalys increased screening costs 225 million usd largely offset decreased treatment costs 204 million usd therefore new dlus technology considered costeffective costing 1720 usd per qaly performance combinations sensitivity 80 specificity 90 adoption dlus either cost effective cost effective specificities greater 98 sensitivities 94 dlus pox said dominate us pox providing qalys lower cost exploratory cua calculations indicate feasibility dlus least costeffective