AI-powered portable MRI abnormality detection (APPMAD)

人工智能驱动的便携式 MRI 异常检测 (APPMAD)

• 批准号: MR/Z503812/1
• 负责人: Thomas Booth
• 金额: $ 31.62万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FZ503812%2F1
• 关键词: AI; powered; portable; MRI; abnormality

We combine a range of research capabilities (new portable MRI scanner and our AI tools), and draw on multi- and interdisciplinary teams (clinicians and scientists from different faculties and different hospitals as well as a patient with relevant lived experience), to conduct early-stage translational medical research with the potential for patient benefit.Two technological developments underpin the proposed work.First, we developed an Artificial Intelligence (AI) tool that can accurately sort magnetic resonance imaging (MRI) brain scans into normal and abnormal (i.e., there appears to be disease). The AI "triage" tool that we built allows radiologists to report abnormal brain scans preferentially before normal scans which results in faster management of patients with disease. The downstream effect of our AI tool is to reduce the effects of disease, and related healthcare costs.Second, recent technology allows MRI scans to be performed using a small, portable MRI scanner that does not require a dedicated hospital room with a fixed MRI scanner. Furthermore, unlike fixed MRI scans, it is also safe to use the portable MRI scanner next to metalwork. As such the portable MRI scanner can be used in GP surgeries, Community Diagnostic Hubs or wheeled to the bedside of a patient in an Intensive Care Unit who may be very unwell and therefore at high risk for transfer to the standard MRI department. The portable MRI scanner is also very cheap to buy and to run when compared to a fixed MRI. The "trade off" is that the images obtained are not as clear as the scans obtained in fixed MRI scanners. Nonetheless, the clarity of the images for relatively simple tasks such as sorting patients into normal and abnormal is sufficient - if abnormal, patients can be prioritised for onward referral for standard (fixed) MRI where the superior images can be used for more complex assessments.Our aim is to use an AI trick called "transfer learning" to combine knowledge from our AI tool for triage (which was built for standard MRI scans) with a small number of research scans from the portable scanner in order to build an accurate portable MRI AI "triage" tool.Our proposal will plausibly provide the initial evidence required to support the next translational research step that would bring the portable MRI AI "triage" tool to the clinic. Potential use-cases for translation are considerable. Because putting an intensive care patient inside a standard MRI scanner is both hazardous and laborious, a bedside portable scanner with an AI "triage" tool might indicate to the treating team whether it is sensible and necessary to proceed to standard MRI.Additionally, the portable scanner would allow an initial triage in the community where patients have nonspecific clinical features. For example, many types of headache are a common problem but rarely associated with an abnormality. Community triage with an AI "triage" tool would plausibly allow more rapid onward referral for targeted imaging in those with an abnormality, for example, specialised MR imaging for possible brain tumour patients.The research has immense potential to contribute to hospital and community medicine in countries like the UK. We also emphasise that low-income countries with almost no access to standard MRIs might benefit disproportionately from such a tool, as the portable scanner is cheap (~£200k compared to ~£1-2M for a standard MRI scanner).

我们结合了一系列的研究功能（新的便携式MRI扫描仪和我们的AI工具），并借鉴了多个和跨学科的团队（来自不同能力的临床医生和科学家，不同的医院，不同的医院以及具有相关的现场经验的患者），从而进行早期翻译的医学研究，以实现患者的潜力。排序磁共振成像（MRI）脑扫描成正常和异常（即，似乎存在疾病）。我们建立的AI“分类”工具允许放射科医生在正常扫描之前优先报告脑部扫描异常，从而更快地治疗疾病患者。我们AI工具的下游效果是减少疾病的影响和相关的医疗保健成本。第二，最近的技术允许使用小型的便携式MRI扫描仪进行MRI扫描，该扫描仪不需要带有固定MRI扫描仪的专用医院室。此外，与固定的MRI扫描不同，也可以安全地使用金属制品旁边的便携式MRI扫描仪。因此，便携式MRI扫描仪可用于GP手术，社区诊断枢纽，或者将其转向重症监护病房的患者的床边，他们可能非常不适，因此有很高的风险转移到标准MRI部门。与固定的MRI相比，便携式MRI扫描仪也很便宜和运行。 “权衡”是，所获得的图像并不像固定MRI扫描仪中获得的扫描那样清晰。 Nonetheless, the clarity of the images for relatively simple tasks such as sorting patients into normal and abnormal is sufficient - if abnormal, patients can be prioritised for onward referral for standard (fixed) MRI where the superior images can be used for more complex assessments.Our aim is to use an AI trick called "transfer learning" to combine knowledge from our AI tool for triage (which was built for standard MRI scans) with a small number of research scans from the便携式扫描仪为了构建准确的便携式MRI AI“分类”工具。我们的提案将合理地提供支持下一个翻译的研究步骤所需的初始证据，以将便携式MRI MRI AI“ Triage”工具带到诊所。潜在的翻译用例相当大。因为将重症监护患者放入标准的MRI扫描仪内是危险和实验室，所以带有AI“ Triage”工具的床头便携式扫描仪可能会向治疗团队表明是否敏感并且有必要进行标准MRI.Additionditionally。便携式扫描仪将允许在患者具有非特定阶段的社区中最初的Triage。例如，许多类型的标题是一个常见的问题，但很少与异常相关。具有AI“分类”工具的社区分类将可能更快地转介到异常患者中的针对性成像，例如，专门的MR成像用于可能的脑肿瘤患者。该研究具有巨大的潜力，可以为英国等国家 /地区的医院和社区医学做出贡献。我们还强调，几乎无法获得标准MRI的低收入国家可能会从这种工具中受益不成比例地受益，因为便携式扫描仪很便宜（标准MRI扫描仪的价格〜2万英镑，而左右约1-2亿英镑）。