Beyond Technology Acceptance: Calibrating Risk Perception in AI‐Assisted Endoscopy

Q: What does this research mean for the field?

Effective integration of AI-assisted endoscopy requires calibrating user risk perception, moving beyond standard technology acceptance metrics. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Yawei Li; Dun Wan; Yi Ding

doi:10.1111/jgh.70564

September 6, 2026Journal of Gastroenterology and Hepatology

Beyond Technology Acceptance: Calibrating Risk Perception in AI‐Assisted Endoscopy

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Key Points

To examine how endoscopists perceive clinical and technical risk when utilizing artificial intelligence systems, moving beyond basic technology adoption toward safe clinical integration.
Conceptual and theoretical evaluation of risk calibration frameworks within computer-aided gastrointestinal endoscopy.
Analysis of clinician decision-making and cognitive reliance without empirical dataset generation.
Technology adoption frameworks alone fail to address overreliance or unwarranted skepticism toward automated diagnostic prompts.
Appropriate calibration of risk perception aligns endoscopist vigilance with actual algorithm performance boundaries to minimize diagnostic errors.

Implication

Conceptual analysis examines risk perception in AI-assisted endoscopy, highlighting the need for calibrated clinician trust to optimize diagnostic safety.

Discussion

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd74958e84d0ff5b45c80 https://doi.org/10.1111/jgh.70564

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Beyond Technology Acceptance: Calibrating Risk Perception in AI‐Assisted Endoscopy

Key Points

Implication

Discussion

Cite This Study

Beyond Technology Acceptance: Calibrating Risk Perception in AI‐Assisted Endoscopy

Key Points

Implication

Discussion

Cite This Study

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