AI: From High Energy Physics to Medical Applications"

人工智能：从高能物理到医学应用》

• 批准号: 2760511
• 金额: --
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2760511
• 关键词: AI; Energy; Physics; Medical; Applications

Artificial Intelligence (AI) is becoming more commonplace in many fields. The team at the Universityof Liverpool for the ATLAS experiment at the Large Hadron Collider (LHC), have been using suchtechniques for many years to be applied to High Energy Physics (HEP) data analyses. A local companyto the city, AIMES, provides cloud solutions and services for its clients, and has been developingextensive expertise on data research in the medical field, using AI techniques for healthcareapplications.[1]The ATLAS aspect of this PhD involves the commissioning of and improvements to Machine Learning(ML) algorithms used for efficient identification of objects relevant for the analysis, including tauleptonand heavy-flavour jets. These techniques will be then applied in the future Higgs-pair analysisto improve their sensitivity.The AIMES project of this PhD is to evaluate the performance of convolutional neural networks toMagnetic Resonance Imaging (MRI) data. AIMES, in collaboration with Barts Hospital in London, haveaccess to a large database of MR images and have already developed Fully Convolutional Networks(FCNs) that can analyse them. The project work is to ultimately target the development of a validationmethodology for these networks and the reduction of the time needed by physicians to provideconsultation to patients.References[1] University of Liverpool, "Centre for Doctoral Training in Data Intensive Science: Research Projects- Artificial Intelligence and Machine Learning: Project 8": Available from:https://www.liverpool.ac.uk/centre-for-doctoral-training-for-innovation-in-data-intensivescience/research-projects/artificial-intelligence-and-machine-learning/project-8/ [Accessed on:28/11/22]

人工智能(AI)在许多领域变得越来越常见。利物浦大学的大型强子对撞机(LHC)ATLAS实验团队多年来一直在使用这种技术来应用于高能物理(HEP)数据分析。这座城市的一家当地公司AIMES为其客户提供云解决方案和服务，并利用医疗应用的人工智能技术在医疗领域的数据研究方面开发了广泛的专业知识。[1]该博士学位的ATLAS方面涉及机器学习(ML)算法的委托和改进，用于有效地识别与分析相关的对象，包括taulepton和重口味喷气式飞机。这些技术将被应用到未来的Higgs对分析中，以提高其灵敏度。本博士的AIMES项目旨在评估卷积神经网络对磁共振成像(MRI)数据的性能。Aimes与伦敦的巴茨医院合作，可以访问磁共振图像的大型数据库，并已经开发了可以分析它们的完全卷积网络(FCN)。项目工作的最终目标是为这些网络开发一种验证方法，并减少医生向患者提供咨询所需的时间。参考文献[1]利物浦大学，“数据密集科学博士培训中心：研究项目-人工智能和机器学习：项目8”：可用from:https://www.liverpool.ac.uk/centre-for-doctoral-training-for-innovation-in-data-intensivescience/research-projects/artificial-intelligence-and-machine-learning/project-8/[访问时间：28/11/22]