Kellogg, Dylan S. Teixeira, Miriam S. Witt, Michael
Introduction: Rural communities continue to face a shortage of emergency physicians despite the growing number of emergency medicine (EM) residencies. In rural areas, emergency physicians tend to be older, male, and White, and are less likely to have completed EM residency training or have board certification. There is also currently a higher rate o...
Weisman, Ashley K. Lentz, Skyler A. Vieth, Julie T. Kennedy, Joseph M. Bounds, Richard B.
Rural regions face emergency medicine (EM) physician shortages. Most training programs are located in cities and lack rural clinical experiences, didactics, and mentorship to excite and prepare residents for rural EM practice. There is limited data on optimal training methods for preparing residents for rural practice. To address this need for rura...
Krasner, Henry Yim, Leah Simanton, Edward
Published in
BMC medical education
The Myers-Briggs Type Indicator (MBTI) is a self-reported personality test that has continued to gain popularity and traction across industries. The MBTI assesses individuals within four dichotomous categories corresponding to ways to, ultimately, assign one of sixteen personality types. Prior studies indicate that physicians trended towards certai...
Dihan, Qais Chauhan, Muhammad Z Eleiwa, Taher K Brown, Andrew D Hassan, Amr K Khodeiry, Mohamed M Elsheikh, Reem H Oke, Isdin Nihalani, Bharti R VanderVeen, Deborah K
...
Published in
The British journal of ophthalmology
This was a cross-sectional comparative study. We evaluated the ability of three large language models (LLMs) (ChatGPT-3.5, ChatGPT-4, and Google Bard) to generate novel patient education materials (PEMs) and improve the readability of existing PEMs on paediatric cataract. We compared LLMs' responses to three prompts. Prompt A requested they write a...
Vaishya, Raju Iyengar, Karthikeyan P Patralekh, Mohit Kumar Botchu, Rajesh Shirodkar, Kapil Jain, Vijay Kumar Vaish, Abhishek Scarlat, Marius M
Published in
International orthopaedics
This study analyses the performance and proficiency of the three Artificial Intelligence (AI) generative chatbots (ChatGPT-3.5, ChatGPT-4.0, Bard Google AI®) and in answering the Multiple Choice Questions (MCQs) of postgraduate (PG) level orthopaedic qualifying examinations. A series of 120 mock Single Best Answer' (SBA) MCQs with four possible opt...
Valentine, Jake Poulson, Jonathan Tamayo, Jesus Valentine, Amanda Levesque, Jacqueline Jenks, Shane
Introduction: Effective medical education must balance clinical service demands for institutions and learning needs of trainees. The question of whether these are competing demands or can serve complementary roles has profound impacts on graduate medical education, ranging from funding decisions to the willingness of community-based hospitals and p...
Azzopardi, Matthew Ng, Benjamin Logeswaran, Abison Loizou, Constantinos Cheong, Ryan Chin Taw Gireesh, Prasanth Ting, Darren Shu Jeng Chong, Yu Jeat
Peer reviewed: True / Acknowledgements: DSJT acknowledges support provided by the Medical Research Council/Fight for Sight Clinical Research Fellowship (MR/T001674/1) and the Fight for Sight/John Lee, Royal College of Ophthalmologists Primer Fellowship (24CO4). / Publication status: Published / OBJECTIVE: To conduct a head-to-head comparative analy...
Williams, Kathleen S. Griffith, Tatiana Gaynor, Sean Johnson, Thomas Hayes, Alisa
Background: It is an unfortunate truth that Emergency Medicine (EM) physicians will, at some point, have contact with the medicolegal system. However, most EM residency training programs lack education on the legal system in their curriculum, leaving EM physicians unprepared for litigation. To fill this gap, we designed a high-yield and succinct med...
Roche, Heidi Knettel, Brandon A. Knettel, Christine Fallon, Timothy Dunn, Jessica
There is recognition in the field of emergency medicine (EM) that social determinants of health (SDoH) are key drivers of patient care outcomes. Leaders in EM are calling for curricula integrating SDoH assessment and intervention, public health, and multidisciplinary approaches to EM care throughout medical school and residency. This intersection of...
Sevgi, Mertcan Antaki, Fares Keane, Pearse A
Foundation models are the next generation of artificial intelligence that has the potential to provide novel use cases for healthcare. Large language models (LLMs), a type of foundation model, are capable of language comprehension and the ability to generate human-like text. Researchers and developers have been tuning LLMs to optimise their perform...