AI4HOPE: ARTIFICIAL INTELLIGENCE BASED HEALTH, OPTIMISM, PURPOSE, AND ENDURANCE IN PALLIATIVE CARE FOR DEMENTIA

痴呆症是由一系列直接或间接损害大脑的疾病和失调引起的。随着欧盟老龄化人口的增加，痴呆症正在成为一个严重的问题。数字卫生干预措施有可能改善姑息治疗的可及性和有效性。在姑息治疗领域，这些技术越来越多地被用于教育（例如在线学习、移动应用程序或虚拟现实工具）、症状管理、护理规划、决策和互动（例如专业人员和护理人员使用电话、互联网和计算机系统）。然而，大多数研究侧重于具有异质结果的特定干预，并且暴露于专业把关和有偏见的样本，这些样本由大多数健康的患者组成，没有考虑文化影响。由于了解和治疗得到改善，卫生技术更加有效和创新，患者安全得到改善，管理流行病爆发的能力和准备得到改善，以及与痴呆症患者和幸存者的生活质量有关的优先事项，治疗和痴呆症数据监测应该至关重要。本项目将重点关注：（一）更好地了解痴呆症，重点关注其后果，包括疼痛、痛苦以及健康决定因素、疾病和干预措施之间的因果联系，以便为决策提供证据基础；（二）确定整体干预措施（治疗和护理）并评估健康结果；iii)优化临床工作流程的创新数字工具；iv)为改进/量身定制的政策和法律框架提供科学证据，并为欧盟和全球层面的主要政策举措提供信息。我们通过整合数字干预措施作为预后不良的痴呆症患者的姑息治疗，并评估使用人工智能的数字健康干预措施的影响，准确地瞄准了这些价值方面。

Dementia is caused by a range of illnesses and disorders that damage the brain either directly or indirectly. With the rise of the ageing population in the EU, dementia is becoming a serious problem. Digital health interventions have the potential to improve the accessibility and effectiveness of palliative care. Palliative care is an area where these technologies are increasingly being evaluated for education (e.g. online learning, mobile applications or Virtual Reality tools), symptom management, care planning, decision-making, and interaction (e.g. professionals and caregivers using phones, internet and computer systems). However, most studies focus on a specific intervention with heterogeneous outcomes and are exposed to professional gatekeeping and biased samples consisting of patients who are mostly well and without considering cultural impacts. Due to improved understanding and treatment, more effective and innovative health technologies, improved patient safety and better ability and preparedness to manage epidemic outbreaks, along with priorities related to quality of life of dementia patients and survivors, treatment and dementia data monitoring should be crucial. This project will focus on: i) better understanding of dementia, focusing on their consequences, including pain, distress and causative links between health determinants, disease and interventions in order to provide evidence-base for policy-making, ii) identification of holistic intervention (treatment and care) and assessment of health outcomes, iii) innovative digital tools to optimize clinical workflows and iv) scientific evidence for improved/tailored policies and legal frameworks and to inform major policy initiatives at EU and global level. We target exactly those aspects of value by integrating digital interventions as palliative care of patients with poor prognosis of dementia and evaluating the impact of digital health interventions using Artificial Intelligence.