Karthika Manjush, Sreedharan Jithin K, Shevade Madhuragauri, Mathew Chris Sara, Ray Santosh
Faculty of Medical and Health Sciences, Liwa College, Abu Dhabi, United Arab Emirates.
Department of Respiratory Therapy, University of Doha for Science and Technology, Doha, Qatar.
Front Digit Health. 2024 Dec 23;6:1502434. doi: 10.3389/fdgth.2024.1502434. eCollection 2024.
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties. AI algorithms are widely studied in areas like mechanical ventilation, sleep medicine, lung ultrasound, and pulmonary function diagnostics and the results are found to be promising. The quality of patient care and safety can be greatly enhanced if respiratory care professionals fully understand the concept and importance of AI, as they are already incorporating various aspects of this technology into their clinical practice. Awareness of AI in the clinical field is essential during this phase; hence, it is desirable to establish widely accepted standards presented in a clear and accessible language. This article aims to describe the existing and prospective role of AI in the field of respiratory care and allied areas.
人工智能（AI）的发展彻底改变了我们日常生活的诸多方面，对包括医疗保健在内的各个领域都产生了深远影响。尽管医疗保健领域的人工智能概念在20世纪70年代初就已提出，但这项技术在医疗保健中的整合仍处于发展阶段。尽管存在障碍，但在当前这十年中，人工智能在医学领域的各种专业中的应用日益增加，以提高精准医学、预测诊断、治疗效果和预后；这包括呼吸医学、重症监护及其相关专业。人工智能算法在机械通气、睡眠医学、肺部超声和肺功能诊断等领域得到了广泛研究，结果很有前景。如果呼吸护理专业人员充分理解人工智能的概念和重要性，患者护理质量和安全性将得到极大提高，因为他们已经将这项技术的各个方面融入到临床实践中。在这个阶段，临床领域对人工智能的认识至关重要；因此，希望以清晰易懂的语言建立广泛接受的标准。本文旨在描述人工智能在呼吸护理及相关领域的现有和未来作用。
