Henry James Andrew
Institute of Biomedical Sciences, London, United Kingdom.
Society for Advanced Blood Management, Mount Royal, NJ, United States.
Front Artif Intell. 2023 Feb 28;6:985469. doi: 10.3389/frai.2023.985469. eCollection 2023.
Technologies abstract intelligence and provide predictor and precision insight in workflows that manage disorders, similar to cardiology and hematological disease. Positive perceptions of Artificial Intelligence (AI) that support Machine Learning (ML) and Deep Learning (DL) manage transformations with a safe system that improves wellbeing. In sections, workflow introduces an eXamination (X = AI) as an end-to-end structure to culture workstreams in a step-by-step design to manage populace health in a governed system.
To better healthcare outcomes, communities and personnel benefit from an explanation and an interpretive that elucidates workflow for citizens or practitioners to comprehend personalized platforms. Therefore, the author undertook structure and practice reviews and appraised perspectives that impact the management of AI in public health and medicine.
Figures for the management of AI workflow illustrate and inform on the model, structure, culture, assurance, process steps, values, and governance required for abstract insights in public health and medicine. The papers' end-to-end structure with explanans in a work culture interprets the step-by-step designs that manage the success of AI. Personalized care graphics offer an explanandum in the management of biological analytic value.
Healthcare leadership collaboratives plan population health with an upstream, workplace and workstream format. Secure workflow and safety wellbeing system requirements prove that genomics and AI improve medicine. Therefore, the paper discusses group understanding of current practice, ethics, policy, and legality.
"Culture, intelligent workflow, structure, and steps" improve wellbeing with personalized care and align a percept for national opportunities, regional control, and local needs. Personalized practice cultures support analytic systems to describe, predict, precision, and prescript medicine in population health management eXaminations.
技术提取智能,并在管理疾病的工作流程中提供预测和精准洞察,类似于心脏病学和血液学疾病。对支持机器学习(ML)和深度学习(DL)的人工智能(AI)的积极认知,通过一个改善健康的安全系统来管理变革。在各部分中,工作流程引入了一种检查(X = AI)作为一种端到端结构,以逐步设计的方式培养工作流程,从而在一个受治理的系统中管理人群健康。
为了获得更好的医疗保健结果,社区和人员受益于一种解释和阐释,该解释和阐释能阐明工作流程,以便公民或从业者理解个性化平台。因此,作者进行了结构和实践审查,并评估了影响公共卫生和医学中人工智能管理的观点。
人工智能工作流程管理的相关数据说明了并告知了公共卫生和医学中抽象洞察所需的模型、结构、文化、保障、流程步骤、价值观和治理。论文在工作文化中带有解释项的端到端结构解释了管理人工智能成功的逐步设计。个性化护理图表在生物分析价值管理中提供了一个被解释项。
医疗保健领导协作组织以上游、工作场所和工作流程的形式规划人群健康。安全的工作流程和安全健康系统要求证明基因组学和人工智能改善了医学。因此,本文讨论了群体对当前实践、伦理、政策和合法性的理解。
“文化、智能工作流程、结构和步骤”通过个性化护理改善健康,并使对国家机遇、区域控制和地方需求的认知保持一致。个性化实践文化支持分析系统在人群健康管理检查中描述、预测、精准和规范医学。