Back to search

Article

The Utility of Artificial Intelligence as an Example of Large Language Models in Healthcare Education. Dr. Sergio Grunbaum

2024-05-02

Abstract excerpt

En la era digital actual, la inteligencia artificial (IA) ha emergido como una fuerza transformadora en diversos campos, y la educación en salud no es una excepción. En este artículo, exploraremos el papel crucial de la inteligencia artificial, particularmente los Modelos de Lenguaje Grandes (LLMs), en la evolución de la educación en salud(1). En la era digital contemporánea, la inteligencia artificial (IA) ha sur...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
38fe8903-a59e-5a4c-92c7-2550ca34f376
DOI
10.14293/pr2199.000846.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The Utility of Artificial Intelligence as an Example of Large Language Models in Healthcare Education. Dr. Sergio GrunbaumDOI 10.14293/pr2199.000846.v1
Artificial General Intelligence (AGI) for Medical Education and TrainingSemantic proximity
Modern Artificial Intelligence and Large Language Models in Graduate Medical Education: A Scoping Review of Attitudes, Applications & PracticeSemantic proximity
The Inefficacy of Artificial Intelligence Large Language Models in Healthcare: A Clinical and Statistical PerspectiveSemantic proximity
The Inefficacy of Artificial Intelligence Large Language Models in Healthcare: A Clinical and Statistical PerspectiveSemantic proximity
Performance Comparison of a Neuro-Symbolic Large Language Model System Versus Conventional AI Models and Human Experts in Cholangitis ManagementSemantic proximity
Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust FrameworkSemantic proximity
Current status of artificial intelligence utilization in medical education: A cross-sectional survey of medical students and facultySemantic proximity
Characterizing large language model generative artificial intelligence variability in the production of objective structured clinical examination stationsSemantic proximity
Which curriculum components do medical students find most helpful for evaluating AI outputs?Semantic proximity
Artificial Intelligence in Medical Education: Current Applications and a Proposed Comprehensive Integration FrameworkSemantic proximity
Large language models could change the future of behavioral healthcare: A proposal for responsible development and evaluationSemantic proximity
Large language models could change the future of behavioral healthcare: A proposal for responsible development and evaluationSemantic proximity
Select a neighboring publication to make it the new centre.