What type of study is this?

This is a Cross-Sectional Study study.

Physician Perspectives on Large Language Models in Healthcare: A Cross-Sectional Survey Study

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Cross-sectional survey evaluated physician perspectives on large language models in healthcare, indicating training needs and liability concerns.

Health care professionals reported varying levels of liability concerns regarding large language models in different settings, showing marked differences based on institutional access.
Training was highly requested among participants, with 94% highlighting a need for further education on clinical applications and risk management.
The survey included 306 physicians, revealing that accuracy was the top priority when evaluating large language models.
Younger physicians demonstrated more enthusiasm for large language models, yet expressed greater concerns about legal implications.

Hong et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

Cross-sectional survey evaluated physician perspectives on large language models in healthcare, indicating training needs and liability concerns.

Health care professionals reported varying levels of liability concerns regarding large language models in different settings, showing marked differences based on institutional access.
Training was highly requested among participants, with 94% highlighting a need for further education on clinical applications and risk management.
The survey included 306 physicians, revealing that accuracy was the top priority when evaluating large language models.
Younger physicians demonstrated more enthusiasm for large language models, yet expressed greater concerns about legal implications.

Hong et al. (2025) studied this question.

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