TY - JOUR
T1 - Practical applications of artificial intelligence chatbots in obstetrics and gynecology medical education
AU - Morosky, Christopher M.
AU - Baecher-Lind, Laura
AU - Chen, Katherine T.
AU - Fleming, Angela
AU - Sims, Shireen Madani
AU - Morgan, Helen Kang
AU - Royce, Celeste S.
AU - Sonn, Tammy
AU - Stephenson-Famy, Alyssa
AU - Sutton, Jill
AU - Schaffir, Jonathan
AU - Bhargava, Rashmi
N1 - Publisher Copyright:
© 2025 Elsevier Inc.
PY - 2025/7
Y1 - 2025/7
N2 - Generative artificial intelligence chatbots are sophisticated conversational artificial intelligence tools that have the capability to interpret natural language inputs and produce responses that closely resemble human speech. Artificial intelligence chatbots hold significant promise in revolutionizing medical education by offering invaluable support across various educational domains, including teaching, learning, and assessment. Their practical applications span a wide spectrum, from aligning learning objectives and simplifying administrative tasks to facilitating feedback, aiding faculty development, and supporting mentorship initiatives. However, alongside their potential benefits, concerns exist regarding data privacy, inherent biases, and occasional errors termed “hallucinations,” underscoring the imperative for a cautious and informed approach to their integration within educational settings. It therefore becomes essential for medical educators and academic institutions to proactively engage with artificial intelligence technologies like chatbots, not only to leverage their benefits but also to critically assess and address associated challenges such as bias, privacy, and misinformation. By thoughtfully integrating artificial intelligence tools, medical educators can determine where these technologies are most beneficial, implement safeguards against potential harms, and explore innovative applications to enhance medical education.
AB - Generative artificial intelligence chatbots are sophisticated conversational artificial intelligence tools that have the capability to interpret natural language inputs and produce responses that closely resemble human speech. Artificial intelligence chatbots hold significant promise in revolutionizing medical education by offering invaluable support across various educational domains, including teaching, learning, and assessment. Their practical applications span a wide spectrum, from aligning learning objectives and simplifying administrative tasks to facilitating feedback, aiding faculty development, and supporting mentorship initiatives. However, alongside their potential benefits, concerns exist regarding data privacy, inherent biases, and occasional errors termed “hallucinations,” underscoring the imperative for a cautious and informed approach to their integration within educational settings. It therefore becomes essential for medical educators and academic institutions to proactively engage with artificial intelligence technologies like chatbots, not only to leverage their benefits but also to critically assess and address associated challenges such as bias, privacy, and misinformation. By thoughtfully integrating artificial intelligence tools, medical educators can determine where these technologies are most beneficial, implement safeguards against potential harms, and explore innovative applications to enhance medical education.
KW - ChatGPT
KW - artificial intelligence
KW - biases
KW - chatbot
KW - data privacy
KW - faculty development
KW - feedback
KW - hallucinations
KW - informed approach
KW - integration
KW - large language models
KW - learning objectives
KW - medical education
KW - mentorship
KW - responsible use
KW - teaching
UR - https://www.scopus.com/pages/publications/105004811473
U2 - 10.1016/j.ajog.2025.04.021
DO - 10.1016/j.ajog.2025.04.021
M3 - Review article
C2 - 40254284
AN - SCOPUS:105004811473
SN - 0002-9378
VL - 233
SP - 4
EP - 11
JO - American journal of obstetrics and gynecology
JF - American journal of obstetrics and gynecology
IS - 1
ER -