Enhancing Multidisciplinary Team Meetings via AI-Enabled Data Assimilation

多学科团队会议（MDTs）涉及多个成员讨论他们的相关数据进行协作决策。mdt改善了结果，但它们需要耗费大量时间和资源，需要复杂的数据准备、整合、呈现和总结。该项目旨在创新人工智能算法，以自动准备、集成、可视化和汇总MDT数据。医院是mdt的绝佳缩影，其中图像数据通常是讨论的中心。这个项目期望产生一个软件框架来增强协作决策和效率。这将有利于医疗保健行业，并广泛适用于其他行业的mdt。

Multidisciplinary team meetings (MDTs) involve multiple members discussing their relevant data for collaborative decision-making. MDTs improve outcomes, but they are time and resource intensive with complex data preparation, integration, presentation and then summarisation. The project aims to innovate in artificial intelligence algorithms to automatically prepare, integrate, visualise, and summarise MDT data. A Hospital is an excellent microcosm for MDTs where image data are usually the centrepiece for discussion. This project expects to produce a software framework to enhance collaborative decision-making and efficiency. This should benefit healthcare industry and have wide applicability for MDTs across other industries.