Cargando…
Large Language Models and Medical Education: Preparing for a Rapid Transformation in How Trainees Will Learn to Be Doctors
Artificial intelligence has the potential to revolutionize health care but has yet to be widely implemented. In part, this may be because, to date, we have focused on easily predicted rather than easily actionable problems. Large language models (LLMs) represent a paradigm shift in our approach to a...
Autores principales: | Ravi, Akshay, Neinstein, Aaron, Murray, Sara G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Thoracic Society
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547030/ https://www.ncbi.nlm.nih.gov/pubmed/37795112 http://dx.doi.org/10.34197/ats-scholar.2023-0036PS |
Ejemplares similares
-
Harnessing Followership to Empower Graduate Medical Education
Trainees
por: Bunin, Jessica L, et al.
Publicado: (2022) -
Transformative experiences and A Young Doctor's Notebook
por: Marchalik, Daniel, et al.
Publicado: (2021) -
The “Baby Moses” Law: A Case for Improving Medicolegal Education for Pediatric Trainees
por: Valentine, Gregory C, et al.
Publicado: (2020) -
How to protect the protectors: 10 lessons to learn for doctors fighting the COVID-19 coronavirus
por: Udwadia, Zarir F., et al.
Publicado: (2020) -
What distinguishes a competent doctor in medical education?
por: Santos, Paulo, et al.
Publicado: (2017)