ChatGPT-4: Transforming Medical Education and Addressing Clinical Exposure Challenges in the Post-pandemic Era

Lower, Kirk; Seth, Ishith; Lim, Bryan; Seth, Nimish

doi:10.1007/s43465-023-00967-7

Cited by 22 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They enable the creation of diverse medical scenarios, complete with detailed patient histories and decision-making processes. 47 , 48 This advancement aids in improving the training efficiency of medical personnel, thereby enhancing the skills and capabilities of future healthcare professionals. Additionally, LLMs can generate new practice questions from existing exam databases, offering students a broader range of study materials.…”

Section: Resultsmentioning

confidence: 99%

The application of large language models in medicine: A scoping review

Meng,

Yan,

Zhang

et al. 2024

iScience

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

The application of large language models in medicine: A scoping review

Meng,

Yan,

Zhang

et al. 2024

iScience

View full text Add to dashboard Cite

“…Such deviations pose significant risks as they can potentially compromise patient safety and treatment efficacy. In surgical research, there are concerns that LLMs fabricate not only references [52,[58][59][60], but also data and results [46,55,61,62]. In order to uphold medical ethics, it is crucial to ensure that LLMs are meticulously trained and equipped to recognize and circumvent the creation of false or misleading medical information.…”

Section: Fabricated Content and "Hallucinations"mentioning

confidence: 99%

AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research

Pressman,

Borna,

Gomez-Cabello

et al. 2024

Healthcare

View full text Add to dashboard Cite

Introduction: As large language models receive greater attention in medical research, the investigation of ethical considerations is warranted. This review aims to explore surgery literature to identify ethical concerns surrounding these artificial intelligence models and evaluate how autonomy, beneficence, nonmaleficence, and justice are represented within these ethical discussions to provide insights in order to guide further research and practice. Methods: A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Five electronic databases were searched in October 2023. Eligible studies included surgery-related articles that focused on large language models and contained adequate ethical discussion. Study details, including specialty and ethical concerns, were collected. Results: The literature search yielded 1179 articles, with 53 meeting the inclusion criteria. Plastic surgery, orthopedic surgery, and neurosurgery were the most represented surgical specialties. Autonomy was the most explicitly cited ethical principle. The most frequently discussed ethical concern was accuracy (n = 45, 84.9%), followed by bias, patient confidentiality, and responsibility. Conclusion: The ethical implications of using large language models in surgery are complex and evolving. The integration of these models into surgery necessitates continuous ethical discourse to ensure responsible and ethical use, balancing technological advancement with human dignity and safety.

show abstract

“…• Orthopaedic Education during COVID-19: ChatGPT-4 was found to provide accurate medical advice for orthopedic scenarios, offering a valuable educational supplement during times of reduced clinical exposure. Its limitations in specialized fields were noted, but its overall proficiency indicates a promising role in medical education [53].…”

Section: Health Carementioning

confidence: 99%

Global Insights and the Impact of Generative AI-ChatGPT on Multidisciplinary: A Systematic Review and Bibliometric Analysis

Khan,

Koubaa

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

ChatGPT-4: Transforming Medical Education and Addressing Clinical Exposure Challenges in the Post-pandemic Era

Cited by 22 publications

References 12 publications

The application of large language models in medicine: A scoping review

The application of large language models in medicine: A scoping review

AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research

Global Insights and the Impact of Generative AI-ChatGPT on Multidisciplinary: A Systematic Review and Bibliometric Analysis

Contact Info

Product

Resources

About