Your browser doesn't support javascript.
loading
Ethical and Professional Decision-Making Capabilities of Artificial Intelligence Chatbots: Evaluating ChatGPT's Professional Competencies in Medicine.
Lin, John C; Kurapati, Sai S; Younessi, David N; Scott, Ingrid U; Gong, Dan A.
Afiliação
  • Lin JC; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.
  • Kurapati SS; Departments of Ophthalmology and Public Health Sciences, Penn State College of Medicine, University Park, Hershey, PA USA.
  • Younessi DN; Feinberg School of Medicine, Northwestern University, Chicago, IL USA.
  • Scott IU; Departments of Ophthalmology and Public Health Sciences, Penn State College of Medicine, University Park, Hershey, PA USA.
  • Gong DA; Department of Ophthalmology, Harvard Medical School, 243 Charles Street, Boston, MA 02114 USA.
Med Sci Educ ; 34(2): 331-333, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38686158
ABSTRACT

Purpose:

We examined the performance of artificial intelligence chatbots on the PREview Practice Exam, an online situational judgment test for professionalism and ethics.

Methods:

We used validated methodologies to calculate scores and descriptive statistics, χ2 tests, and Fisher's exact tests to compare scores by model and competency.

Results:

GPT-3.5 and GPT-4 scored 6/9 (76th percentile) and 7/9 (92nd percentile), respectively, higher than medical school applicant averages of 5/9 (56th percentile). Both models answered 95 + % of questions correctly.

Conclusions:

Chatbots outperformed the average applicant on PREview, suggesting their potential for healthcare training and decision-making and highlighting risks of online assessment delivery.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Med Sci Educ Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Med Sci Educ Ano de publicação: 2024 Tipo de documento: Article