Improving community health-care screenings with smartphone-based AI technologies.
Improving community health-care screenings with smartphone-based AI technologies.
复制标题
利用基于智能手机的人工智能技术改善社区医疗保健筛查。
DOI：
10.1016/s2589-7500(21)00054-6
复制
发表时间：
2021-05
影响因子：
30.8
通讯作者：
Beratarrechea, Andrea
中科院分区：
文献类型：
--
作者：
Mantena, Sreekar;Celi, Leo Anthony;Keshavjee, Salmaan;Beratarrechea, Andrea
Non-communicable diseases cause the majority of global disease burden and mortality. However, in both high-income countries and low-income and middleincome countries (LMICs), a substantial number of patients remain unaware that they have these lifethreatening conditions. Previous studies have found that approximately half of adult diabetes cases worldwide are undetected, and a considerable proportion of patients with hypertension, lung disease, and other chronic conditions remain undiagnosed. 1 Early screening and diagnosis are crucial to enabling prompt treatment, preventing disease progression, and reducing morbidity and mortality. However, it is challenging to screen patients who might not have access to a physician or who live in rural areas that are a considerable distance from health-care facilities. In Tanzania, more than 80% of citizens will never see a doctor in their lifetime. 2 Even in many high-income countries such as the USA, a high proportion of the population is either uninsured or does not visit a primary care physician on a regular basis. 3 A key barrier to screening underserved and underresourced populations is poor access to appropriately sensitive diagnostic tools. Many diagnostic platforms are expensive, invasive, or require trained healthcare workers to operate, making them infeasible for deployment in resource-limited settings. Smartphone-based artificial intelligence (AI) technologies present a potential solution to this challenge. By collecting data from smartphone sensors and leveraging machine learning algorithms to analyse these data, such technologies enable inexpensive mobile screening of many medical conditions. In the past decade, access to smartphones has risen sharply, and modern smartphones are powerful computing devices, with advanced microprocessors, touchscreen displays, high-resolution cameras, and sensitive microphones. AI, when combined with smartphone technology, has the potential to enable diagnostic tests previously only possible in hospital settings.
