Psychological Approaches to Radiological Training: Assessing cognitive mechanisms underlying medical-image perception and developing a novel training

本研究将回答以下问题：1.导致放射学错误的感知和认知机制是什么？2.人工干预和人工智能（AI）训练协议在减少错误方面有多有效？3.专门定制的医学图像数据库如何影响诊断准确性？拟议工作的目标是通过提高医学图像感知的准确性对公众健康产生积极影响。这项研究与ESRC的健康与福祉战略研究挑战保持一致：社会科学的视角对于理解有助于放射感知和决策的心理因素以及评估认知训练的影响至关重要。根据ESRC的战略导向，该提案还跨越了其他研究理事会的职权范围，包括医学研究理事会。这项研究计划有可能改变放射培训和先进的方法，在心理学和计算机科学以及它们的应用。研究用户（放射科医生）将参与研究的所有阶段，研究结果将最终影响医学界的政策。这项工作将导致新的放射训练协议，可以广泛实施。提高放射学的准确性将挽救患者的生命，并通过避免不准确诊断的压力来改善健康患者的健康状况。

The proposed research will answer the following questions:1. What are the perceptual and cognitive mechanisms that contribute to radiological errors?2. How effective are human-intervention and artificial intelligence (AI) training protocols in mitigating errors?3. How can a specially tailored medical image database impact diagnostic accuracy?The goal of the proposed work is to make a positive impact on public health through improved accuracy in medical image perception. This research is well aligned with the ESRC's Strategic Research Challenge of Health and Wellbeing: a social science perspective is crucial for understanding the psychological factors that contribute to radiological perception and decision making and for assessing the impacts of cognitive training. In line with ESRC strategic steers, the proposal also straddles other research council remits, including the Medical Research Council. This research programme has the potential to transform radiological training and advance methods in both psychology and computer science as well as their applications. The research users (radiologists) will be involved in all stages of the research, and the findings will ultimately influence policy within the medical community. This work will result in novel radiological training protocols that can be widely implemented. Enhanced radiological accuracy will save the lives of patients with illnesses and improve the wellbeing of healthy patients by avoiding the stress of inaccurate diagnoses.