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The Potential of Artificial Intelligence, Machine Learning, and Novel Analytic Methods to Promote Successful Aging

机译:人工智能,机器学习和新型分析方法的潜力促进成功衰老

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Abstract The Gerontological Society of America is celebrating its75th anniversary and in those75 years the world has undergone an amazing technological revolution. During this period, computers transformed from systems that once filled entire rooms to much more powerful devices that fit in our pockets. We have seen the introduction of wireless technologies, augmented and virtual reality, smart home devices, autonomous vehicles, and much more. This session focuses on a new technological advance that has the potential to support the health, wellbeing, and independence of older adults and caregivers: artificial intelligence (AI). This session will present applications of AI, Machine Learning (ML), and other novel analytic methods and how they have the potential to impact the lives of older adults in a variety of context. As AI is increasingly being involved in workplace hiring, the first talk focuses on older adults’ attitudes toward the role of AI in this decision making process. Next, novel ML approaches applied to social media are discussed in terms of understanding the needs of Alzheimer’s caregivers. Next, ML techniques are discussed in terms of developing biomarkers that can be applied in diagnosis and assessment of therapeutic responses by detecting mood, which may have important implications for older adults living with dementia. Then, the potential role of AI is discussed in terms of developing reminder systems to promote older adults’ adherence to technology-based health activities. Finally, novel analytic approaches are discussed in terms of harnessing digital metrics to detect the risk of cognitive decline.
机译:摘要美国的庸医学会正在庆祝第75周年,在这75年里,世界经历了一个惊人的技术革命。在此期间,计算机从曾经填充整个房间的系统转换为适合我们口袋的更强大的设备。我们已经看到了介绍了无线技术,增强和虚拟现实,智能家居设备,自动车辆等等。本届会议侧重于新的技术进步,有可能支持老年人和护理人员的健康,福祉和独立:人工智能(AI)。本次会议将呈现AI,机器学习(ML)和其他新型分析方法的应用以及它们在各种背景下如何影响老年人的生命。由于AI越来越多地参与工作场所招聘,第一次谈话侧重于老年人对AI在这一决策过程中的作用的态度。接下来,在理解Alzheimer的照顾者的需求方面讨论了应用于社交媒体的新型ML方法。接下来,就发展生物标志物讨论了ML技术,这些生物标志物通过检测心情可能对治疗性反应进行诊断和评估,这可能对患有痴呆症的老年人具有重要意义。然后,在发展提醒系统方面讨论了AI的潜在作用,以促进老年人对基于技术的健康活动的遵守来促进。最后,根据利用数字指标讨论了新的分析方法,以检测认知下降的风险。

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