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Artificial Intelligence and Science of Patient Input: a Perspective from People with Multiple Sclerosis

Frontiers in immunology(2025)SCI 2区

Multiple Sclerosis International Federation

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Abstract
Artificial intelligence (AI) can play a vital role in achieving a shift towards predictive, preventive, and personalized medicine, provided we are guided by the science with and of patient input. Patient-reported outcome measures (PROMs) represent a unique opportunity to capture experiential knowledge from people living with health conditions and make it scientifically relevant for all other stakeholders. Despite this, there is limited uptake of the use of standardized outcomes including PROMs within the research and healthcare system. This perspective article discusses the challenges of using PROMs at scale, with a focus on multiple sclerosis. AI approaches can enable learning health systems that improve the quality of care by examining the care health systems presently give, as well as accelerating research and innovation. However, we argue that it is crucial that advances in AI - whether relating to research, clinical practice or health systems policy - are not developed in isolation and implemented 'to' people, but in collaboration 'with' them. This implementation of science with patient input, which is at the heart of the Global PROs for Multiple Sclerosis (PROMS) Initiative, will ensure that we maximize the potential benefits of AI for people with MS, whilst avoiding unintended consequences.
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artificial intelligence,patient reported outcomes,health outcomes,multiple sclerosis,ethics
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要点】:本文探讨了利用患者输入的科学,特别是在多发性硬化症(MS)领域,通过人工智能(AI)实现预测性、预防性和个性化医疗的挑战与机遇,强调AI的发展和应用应与患者共同合作。

方法】:文章采用视角分析的方法,结合患者报告的结果测量(PROMs)和AI技术,提出在研究和医疗系统中融入患者输入的科学。

实验】:本文未具体描述实验过程,但提到Global PROs for Multiple Sclerosis (PROMS) Initiative作为实施患者输入科学的实例,未提及具体的数据集名称和实验结果。