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

这项拟议的研究将回答以下问题：1.导致放射学误差的感知和认知机制是什么？2.人类干预和人工智能(AI)训练方案在减少误差方面的有效性？3.一个专门定制的医学图像数据库如何影响诊断精度？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的健康和福祉战略研究挑战非常一致：社会科学视角对于理解有助于辐射感知和决策的心理因素以及评估认知培训的影响至关重要。为了与ESRC的战略指导一致，该提案还跨越了其他研究委员会的职权范围，包括医学研究委员会。这一研究方案有可能改变放射训练，改进心理学和计算机科学及其应用方面的方法。研究使用者(放射科医生)将参与研究的所有阶段，研究结果最终将影响医学界的政策。这项工作将产生可广泛实施的新的放射学培训方案。放射学准确度的提高将挽救疾病患者的生命，并通过避免不准确诊断的压力来改善健康患者的福祉。

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.