Developing synergies between transient astronomy and early medical intervention

人工智能（AI）在医疗保健领域的应用将在未来几十年内彻底改变医学和患者护理。医疗专业人员收集的数据量不断增长，他们需要大量的帮助来快速了解这些信息，以便进行关键的诊断测试。特别是，这些丰富的数字数据是否可以用于早期自动检测可能的问题，从而提醒医生进行更仔细的检查？天文学也正在经历由LIGO和LSST等STFC实验驱动的数据革命。这些实验正在打开天文学的时域，在不久的将来，天文学家每天将被数百万个瞬态事件淹没; LSST将平均每秒产生数百个瞬态！如此多事件的优先级将是我们成功的关键，天体物理学家已经在开发和应用人工智能技术，以帮助在“普通”瞬变海洋中找到最有趣的事件。该项目通过将瞬变天文学中开发的知识和专业知识应用于医疗问题的早期自动诊断，将这两个问题结合在一起。该项目是跨学科研究的前沿，汇集了来自国王学院医院的世界领先的心脏病专家和英国最好的瞬态天体物理学家。总之，我们希望在详细的时间序列患者数据（例如ECG）中找到早期诊断特征。这项试点活动将用于启动未来的研究，并增加从事此类有影响力研究的科学家数量。

The application of artificial intelligence (AI) to healthcare will revolutionise medicine and patient care over the coming decades. The wealth of data being collected by medical professionals keeps growing and they need significant help to quickly understand this information for their key diagnostic tests. In particular, can this wealth of digital data be used to automatically detect possible problems early, and thus alert doctors for closer inspection?Astronomy is also experiencing a data revolution driven by STFC experiments like LIGO and LSST. These experiments are opening up the time domain in astronomy and in the near-future astronomers will be deluged by millions of transient events a day; LSST will produce on average hundreds of transients per second! The prioritisation of so many events will be key to our success and astrophysicists are already developing and applying AI technology to help find the most interesting events within the ocean of "ordinary" transients. This project brings these two problems together by applying the knowledge and expertise developed in transient astronomy to the early automated diagnosis of medical problems. This project is at the forefront of interdisciplinary research bring world-leading cardiologists from King's College Hospital together with the best transient astrophysicists in the UK. Together, we hope to find early diagnostic signatures in detailed time-series patient data e.g. ECGs. This pilot activity will be used to prime-pump future investigations and grow the number of scientists engaged in such impactful research.