Clinical adoption of quantitative neuro-imaging AI based techniques

1)研究背景的简要描述，包括潜在影响近年来，在医学成像中使用人工智能（AI）取得了许多进展。然而，很少有人工智能工具能进入临床实践。目前博士项目的主要目标是研究误差的关键来源，并为定量神经成像人工智能工具开发不确定性措施。重点将放在神经肿瘤学、痴呆症、癫痫和多发性硬化症上，该项目的潜在影响包括促进临床采用人工智能辅助的体积分析，人工智能提高采集时间，以及将与定量MR测量相关的不确定性测量转化为临床。2)目的和目标目的：开发方法，增强基于人工智能的工具的临床翻译。目的:1。识别现有人工智能工具中的主要错误来源。自动体积分析不确定度测量方法的开发和验证。评估使用人工智能技术加速神经放射学收购的影响。3)研究方法的新颖性目前，许多神经成像领域的人工智能工具并没有传达其预测的不确定性程度。此外，人们还没有充分了解使用人工智能加速MR图像采集的影响。4)与EPSRC的战略和研究领域保持一致本项目与EPSRC在医疗保健技术方面的研究目标保持一致。从临床数据或图像中自动提取信息是EPSRC医学成像研究的一个高度优先的研究领域。5)是否涉及公司或合作者目前没有涉及公司或外部合作者。

1) Brief description of the context of the research including potential impactNumerous advancements have been made in recent years regarding the use of artificial intelligence (AI) in medical imaging. Nonetheless, very few AI tools make it into clinical practice. The primary goal of the current PhD project is to investigate key sources of error and develop uncertainty measures for quantitative neuroimaging AI tools. The focus will be on neuro-oncology, dementia, epilepsy and MS. Potential impacts of the project include the facilitation of clinical adoption of AI assisted volumetric analysis, AI enhanced acquisition times and the translation of uncertainty measures associated with quantitative MR measurements into the clinic. 2) Aims and ObjectivesAims: Development of methodology that will enhance clinical translation of AI based tools. Objective: 1. Identification of key sources of errors in existing AI tools.2. Development and validation of uncertainty measures for automated volumetric analyses.3. Evaluation of the implications of using AI technologies in the speed up of acquisitions in neuroradiology.3) Novelty of Research MethodologyAs of now, many AI tools in the field of neuroimaging do not convey their degree of uncertainty concomitant to the prediction. Furthermore, it is not sufficiently well understood what the impact is of using AI to speed up the acquisition of MR images. 4) Alignment to EPSRC's strategies and research areasThis project aligns with the EPSRC's research aims within healthcare technologies. Automated extraction of information from clinical data or images is a high priority research area of the EPSRC's research on medical imaging. 5) Any companies or collaborators involvedCurrently no companies or external collaborators involved.