Objective

2

To investigate the perceptions of residents undergoing standardized residency training regarding the clinical application of artificial intelligence (AI) and provide insights for cultivating resident competency in the AI era.

Methods

2

A self-designed questionnaire was administered via the Questionnaire Star platform

covering dimensions such as awareness and attitudes toward AI

challenges and concerns regarding the clinical application of AI

and demands for medical education reform and competency cultivation in the AI era.

Results

2

Regarding AI awareness

468(37.35%) demonstrated understanding of common AI-assisted decision-making tools; 389(31.05%) had used AI-assisted tools such as AI-assisted medical imaging recognition system and AI-assisted decision-making system based on electronic medical record analysis; 653(52.11%) had used AI tools like ChatGPT and DeepSeek. Male residents showed significantly higher AI awareness than female counterparts (

P

<

0.05)

and significant regional differences were observed between Nantong and Suzhou (

P

<

0.001). Concerning perceptions of AI impact on traditional clinical skills

over 80% of residents believed that AI had either no impact or a positive impact on the cultivation of traditional clinical operation skills. Male residents held more positive views in this aspect compared to females (

P

<

0.05)

while no regional differences were observed

between Nantong and Suzhou (

P

>

0.05). Among the residents

1 038(82.84%) believed that AI could replace repetitive tasks and improve work efficiency

957(76.38%) felt it could support clinical decision-making and reduce diagnostic errors

889(70.95%) expressed concerns about data privacy and security

795(63.45%) worried that AI application might compromise the cultivation of clinical thinking ability

and 954(76.14%) expressed interest in receiving training on AI fundamental theory and cases of its medical applications.

Conclusions

2

AI will profoundly impact the healthcare sector and the training models for medical professionals. It is essential to strengthen the education on AI awareness

the training of AI application skills

and the cultivation of ethical responsibility of AI application during standardized residency training

and thus lay a solid foundational for cultivating the position competency of medical professionals in the AI era.