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毕马威:2024精准医疗的新时代:生成式人工智能对精准医疗领域的前所未有的影响研究报告(中译版)(17页).pdf

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1、A new era of precision The unprecedented impact of generative AIIntroductionPrecision medicine(PM),a paradigm-shifting model in healthcare and life sciences,is focused on delivering tailored treatments and prevention strategies to individual patients.As this important clinical discipline continues t

2、o evolve,artificial intelligence(AI),and more specifically generative AI,will likely serve as the cornerstone of innovation and accelerator of progress.The use of AI in patient risk assessments,screening,and diagnosis are showing the most progress to date.However,AI-driven treatment decisions are wh

3、ere we see the most opportunity.Healthcare providers and ancillary technical experts(e.g.,data scientists,machine learning engineers,etc.)can use AI to analyze complex data patterns,determine optimal patient treatment paradigms,anticipate treatment responses,and deliver personalized healthcare exper

4、iences.On the operational front,AIs potential to enhance research-based and clinically based healthcare operations is significant.However,there are challenges that need to be addressed,including ensuring data privacy,managing ethical implications,obtaining regulatory approvals,and securing infrastru

5、cture investments.Further,there is a need to foster trust among healthcare professionals and patients regarding AIs reliability and transparency,which will require robust validation studies.This paper delves into AIs current role across the PM landscape.We address the challenges impeding broader ado

6、ption and provide insights into potential AI-driven solutions based on emerging learning models through illustrative case studies.Federated learning,in particular,will play a pivotal role in constructing a robust,scalable,and privacy-preserving PM ecosystem.2 2023 KPMG LLP,a Delaware limited liabili

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本文主要讨论了精准医疗(PM)中人工智能(AI)的应用,特别是生成性AI。文章指出,AI在患者风险评估、筛查和诊断方面显示出最大的进步,但在AI驱动的治疗决策方面具有最大的潜力。文章详细介绍了AI在PM患者连续体中的当前角色,包括生物标志物发现、患者分层和药物再利用等应用。文章还讨论了AI在运营方面的潜力,包括增强基于研究和临床的医疗保健运营,但同时也指出了需要解决的数据隐私、伦理影响、监管批准和基础设施投资等挑战。文章还强调了在医疗保健专业人员和患者中建立对AI可靠性和透明度的信任的重要性。
精准医疗如何利用AI进行风险评估? AI如何帮助提高新生儿遗传疾病的诊断速度和准确性? 精准医疗中AI在哪些方面展现出最大的潜力?
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