From Bytes to Bedside
The rapid evolution of generative artificial intelligence (AI) is poised to transform medicine and medical education. Large language models (LLMs) have begun to demonstrate capabilities in reasoning, diagnosis, documentation, and patient communication that can rival or exceed those of clinicians. In medical education, AI is reshaping how students learn and how faculty teach-offering individualized, context-sensitive guidance at scale. This article outlines the current state of AI integration in health care, examines how systems can responsibly implement it to enhance patient care and education, and raises critical questions about ethics and safety as we harness its transformative potential.
Authors
- Abigail Ford Winkel (ORCID: https://orcid.org/0000-0001-6149-5842)
- Marc M. Triola (ORCID: https://orcid.org/0000-0002-6303-3112)
- Olivia Myrick
- Maria Smith
Institutions
- NYU Langone Health (US)
- New York University (US)
Publication Details
- Journal
- Clinical Obstetrics & Gynecology
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1097/grf.0000000000000982
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00