Department of Smart Healthcare, Indian Institute of Technology Jodhpur, Karwar, India.
All India Institute of Medical Sciences Jodhpur, Jodhpur, India.
Front Public Health. 2022 Sep 30;10:880034. doi: 10.3389/fpubh.2022.880034. eCollection 2022.
A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic and deadly diseases. Particularly, maternal and neonatal morbidity due to various non-communicable and nutrition related diseases is a serious public health issue that leads to several deaths every year. These diseases affecting either mother or child can be hospital-acquired, contracted during pregnancy or delivery, postpartum and even during child growth and development. Many of these conditions are challenging to detect at their early stages, which puts the patient at risk of developing severe conditions over time. Therefore, there is a need for early screening, detection and diagnosis, which could reduce maternal and neonatal mortality. With the advent of Artificial Intelligence (AI), digital technologies have emerged as practical assistive tools in different healthcare sectors but are still in their nascent stages when applied to maternal and neonatal health. This review article presents an in-depth examination of digital solutions proposed for maternal and neonatal healthcare in low resource settings and discusses the open problems as well as future research directions.
对于中低收入国家的医院和医疗从业者来说，一个重大的挑战是缺乏足够的医疗设施，无法及时对慢性和致命疾病进行医学诊断。特别是，由于各种非传染性疾病和营养相关疾病导致的孕产妇和新生儿发病率高，是一个严重的公共卫生问题，每年导致许多人死亡。这些影响母亲或儿童的疾病可能是在医院获得的，也可能是在怀孕期间或分娩期间、产后甚至在儿童生长发育期间感染的。其中许多疾病在早期很难被发现，这使得患者随着时间的推移有发展为严重疾病的风险。因此，需要进行早期筛查、检测和诊断，这可以降低孕产妇和新生儿的死亡率。随着人工智能（AI）的出现，数字技术已经成为不同医疗保健领域的实用辅助工具，但在应用于孕产妇和新生儿健康方面仍处于起步阶段。本文深入探讨了针对资源匮乏环境下孕产妇和新生儿医疗保健提出的数字解决方案，并讨论了存在的问题和未来的研究方向。
