Institut de Biologie et Chimie des Protéines, Laboratoire de Biologie Tissulaire et Ingénierie Thérapeutique, UMR 5305 CNRS, Université Lyon 1, Lyon, France; Faculté d'Odontologie, Université Lyon 1, Lyon, France; Hospices Civils de Lyon, Centre de soins Dentaires, Lyon, France.
FARI - AI for the Common Good Institute, Free University of Brussels, Brussels, Belgium.
J Dent. 2022 Dec;127:104344. doi: 10.1016/j.jdent.2022.104344. Epub 2022 Oct 21.
Oral health is grounded in the United National (UN) 2030 Agenda for Sustainable Developement and its 17 Goals (SDGs), in particular SDG 3 (Ensure healthy lives and promote well-being for all at all ages). The World Health Organization (WHO) Global Strategy on Oral Health calls for prioritizing environmentally sustainable and less invasive oral health care, and planetary health. Artificial Intelligence (AI) has the potential to power the next generation of oral health services and care, however its relationship with the broader UN and WHO concepts of sustainability remains poorly defined and articulated. We review the double-edged relationships between AI and oral health, to suggest actions that promote a sustainable deployment of AI for oral health.
Concepts regarding AI, sustainability and sustainable development were identified and defined. A review of several double-edged relationship between AI and SDGs were exposed for the field of Oral Health.
Medline and international declarations of the WHO, the UN and the World Dental Federation (FDI) were screened.
One the one hand, AI may reduce transportation, optimize care delivery (SDG 3 "Good Health and Well-Being", SDG 13 "Climate Action"), and increase accessibility of services and reduce inequality (SDG 10 "Reduced Inequalities", SDG 4 "Quality Education"). On the other hand, the deployment, implementation and maintenance of AI require significant resources (SDG 12 "Responsible Consumption and Production"), and costs for AI may aggravate inequalities. Also, AI may be biased, reinforcing inequalities (SDG 10) and discrimination (SDG 5), and may violate principles of security, privacy and confidentiality of personal information (SDG 16).
Systematic assessment of the positive impact and adverse effects of AI on sustainable oral health may help to foster the former and curb the latter based on evidence.
If sustainability imperatives are actively taken into consideration, the community of oral health professionals should then employ AI for improving effectiveness, efficiency, and safety of oral healthcare; strengthen oral health surveillance; foster education and accessibility of care; ensure fairness, transparency and governance of AI for oral health; develop legislation and infrastructure to expand the use of digital health technologies including AI.
口腔健康是联合国(UN)2030 年可持续发展议程及其 17 个目标(SDGs)的基础,特别是目标 3(确保所有年龄段的所有人都享有健康的生活并促进福祉)。世界卫生组织(WHO)全球口腔健康战略呼吁优先考虑环境可持续和微创的口腔保健以及行星健康。人工智能(AI)有可能为下一代口腔卫生服务和护理提供动力,但它与更广泛的联合国和世卫组织可持续性概念之间的关系仍未得到明确界定和阐明。我们审查了 AI 与口腔健康之间的双重关系,以提出促进 AI 在口腔健康中的可持续应用的行动。
确定并定义了与 AI、可持续性和可持续发展相关的概念。审查了 AI 与 SDG 之间的几种双刃剑关系,以揭示口腔健康领域的情况。
筛选了 Medline 和世界卫生组织、联合国和世界牙科联合会(FDI)的国际宣言。
一方面,AI 可以减少运输、优化护理提供(目标 3“良好健康与福祉”,目标 13“气候行动”),并增加服务的可及性并减少不平等(目标 10“减少不平等”,目标 4“优质教育”)。另一方面,AI 的部署、实施和维护需要大量资源(目标 12“负责任的消费和生产”),并且 AI 的成本可能会加剧不平等。此外,AI 可能存在偏见,从而加剧不平等(目标 10)和歧视(目标 5),并可能违反个人信息安全、隐私和保密原则(目标 16)。
系统评估 AI 对可持续口腔健康的积极影响和不利影响有助于根据证据促进前者并遏制后者。
如果积极考虑可持续性要求,那么口腔卫生专业人员社区应该利用 AI 来提高口腔保健的有效性、效率和安全性;加强口腔健康监测;促进教育和护理的可及性;确保 AI 对口腔健康的公平性、透明度和治理;制定立法和基础设施,以扩大包括 AI 在内的数字健康技术的使用。