Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Would doctors dream of electric blood bankers? Large language model‐based artificial intelligence performs well in many aspects of transfusion medicine
17
Zitationen
3
Autoren
2023
Jahr
Abstract
When presented with transfusion medicine tasks in natural language, publicly available LLMs demonstrated a range of ability, but GPT-4 consistently scored very well in all tasks. Research is needed to assess the utility of LLMs in transfusion medicine practice. Transfusion Medicine physicians should consider their role alongside such technologies, and how they might be used for the benefit and safety of patients.
Ähnliche Arbeiten
A Multicenter, Randomized, Controlled Clinical Trial of Transfusion Requirements in Critical Care
1999 · 5.196 Zit.
Effects of tranexamic acid on death, vascular occlusive events, and blood transfusion in trauma patients with significant haemorrhage (CRASH-2): a randomised, placebo-controlled trial
2010 · 3.223 Zit.
Transfusion of Plasma, Platelets, and Red Blood Cells in a 1:1:1 vs a 1:1:2 Ratio and Mortality in Patients With Severe Trauma
2015 · 2.417 Zit.
A Multicenter, Randomized, Controlled Clinical Trial of Transfusion Requirements in Critical Care
1999 · 2.045 Zit.
Correction of the Anemia of End-Stage Renal Disease with Recombinant Human Erythropoietin
1987 · 2.019 Zit.