What question did this study set out to answer?

To assess the current status of medical training and formulate an actionable framework for integrating artificial intelligence into medical school curricula.

October 20, 2019JMIR Medical EducationOpen Access

Introducing Artificial Intelligence Training in Medical Education

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To assess the current status of medical training and formulate an actionable framework for integrating artificial intelligence into medical school curricula.
Conducted a curricular needs assessment regarding the role of data-driven technology and machine interaction in modern clinical practice.
Synthesized critical educational domains, focusing on clinical utility, algorithmic limitations, healthcare economics, and medicolegal accountability.
Identified critical educational gaps in preparing future clinicians for medicine-machine interaction, algorithmic transparency, and liability.
Proposed a longitudinal curricular framework that embeds artificial intelligence principles seamlessly across preclinical and clinical medical training.

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Implication

Educational framework proposes structured artificial intelligence training in medical curricula, highlighting the necessity of clinician literacy in algorithmic decision-making.

Cite This Study

Paranjape et al. (2019) studied this question.

synapsesocial.com/papers/69d815a73eff0c9dfaae3467 https://doi.org/10.2196/16048

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Implication

Educational framework proposes structured artificial intelligence training in medical curricula, highlighting the necessity of clinician literacy in algorithmic decision-making.

Introducing Artificial Intelligence Training in Medical Education

Key Points

Discussion

Implication

Cite This Study

Introducing Artificial Intelligence Training in Medical Education

Key Points

Discussion

Implication

Cite This Study

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