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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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A quantitative study of pathologists' perceptions towards artificial intelligence-assisted diagnostic system.

Zichen Ye1, Qu Lu1, Jiahui Wang1

  • 1School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

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|October 17, 2025
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This summary is machine-generated.

Pathologists generally support artificial intelligence-assisted diagnostic systems (AIADS) for improved efficiency, but concerns about accuracy remain. Enhancing AI knowledge and user experience is key for wider adoption of AIADS in pathology.

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Area of Science:

  • Medical Informatics
  • Pathology
  • Artificial Intelligence

Background:

  • Pathologists' acceptance is crucial for integrating AI-assisted diagnostic systems (AIADS).
  • Limited research exists on pathologists' perceptions of AIADS, hindering effective AI implementation in pathology.

Purpose of the Study:

  • To explore pathologists' knowledge, attitudes, and practices regarding AIADS.
  • To identify factors influencing pathologists' willingness to use AIADS.
  • To provide insights for the effective integration of AI technology in pathology.

Main Methods:

  • A nationwide, cross-sectional online survey using a 5-point Likert scale.
  • Descriptive analysis and logistic regression to examine AIADS adoption factors.
  • Mediation analysis explored the role of attitude between knowledge and behavioral intention.

Main Results:

  • 224 pathologists surveyed; 37.9% had used AIADS.
  • Mean scores for knowledge, attitude, and behavioral intention were around 3.4-3.5.
  • Higher knowledge, positive attitudes, and prior AIADS use correlated with greater willingness to adopt AIADS.

Conclusions:

  • Most pathologists support AIADS for clinical diagnostics, citing speed and workload reduction.
  • Diagnostic accuracy is a primary concern, necessitating performance improvements.
  • Enhancing pathologists' knowledge, attitudes, and user experience is vital for AIADS adoption.