Large language models for generating medical examinations: systematic review
Background Writing multiple choice questions (MCQs) for the purpose of medical exams is challenging. It requires extensive medical knowledge, time and effort from medical educators.
Yaara Artsi +5 more
doaj +1 more source
A strategy for cost-effective large language model use at health system-scale
Large language models (LLMs) can optimize clinical workflows; however, the economic and computational challenges of their utilization at the health system scale are underexplored.
Eyal Klang +11 more
doaj +1 more source
How reproducible are data-driven subtypes of Alzheimer's disease atrophy? [PDF]
Prevot E +3 more
europepmc +1 more source
Data-Driven Insights in Healthcare. [PDF]
Prybutok VR, Prybutok GL.
europepmc +1 more source
Data-Driven System Matrix Manipulation Enabling Fast Functional Imaging in Tomography. [PDF]
Hu P, Tong X, Lin L, Wang LV.
europepmc +1 more source
The Data-Driven Definition of "Complication" in Medicine. [PDF]
Danilov GV +7 more
europepmc +1 more source
Susceptibility to Disinformation: A Data-Driven Typology Based on COVID-19 Hoaxes and Pro-Russian Propaganda. [PDF]
Klicperova-Baker M, Jelinek M, Kveton P.
europepmc +1 more source
Data-driven discovery of digital twins in biomedical research. [PDF]
Métayer C, Ballesta A, Martinelli J.
europepmc +1 more source
Data-driven p-norms for estimating transmission loss coefficients in power systems. [PDF]
Montoya OD +2 more
europepmc +1 more source
Data-driven denoising in spinal cord fMRI with principal component analysis. [PDF]
Hemmerling KJ +4 more
europepmc +1 more source

