返回
Using augmented intelligence to improve long term outcomes
DOI:10.1097/MCC.0000000000001185.png)
摘要
En 中文
Purpose of reviewFor augmented intelligence (AI) tools to realize their potential, critical care clinicians must ensure they are designed to improve long-term outcomes. This overview is intended to align professionals with the state-of-the art of AI.Recent findingsMany AI tools are undergoing preliminary assessment of their ability to support the care of survivors and their caregivers at multiple time points after intensive care unit (ICU) discharge. The domains being studied include early identification of deterioration (physiological, mental), management of impaired physical functioning, pain, sleep and sexual dysfunction, improving nutrition and communication, and screening and treatment of cognitive impairment and mental health disorders.Several technologies are already being marketed and many more are in various stages of development. These technologies mostly still require clinical trials outcome testing. However, lacking a formal regulatory approval process, some are already in use.Recent findingsMany AI tools are undergoing preliminary assessment of their ability to support the care of survivors and their caregivers at multiple time points after intensive care unit (ICU) discharge. The domains being studied include early identification of deterioration (physiological, mental), management of impaired physical functioning, pain, sleep and sexual dysfunction, improving nutrition and communication, and screening and treatment of cognitive impairment and mental health disorders.Several technologies are already being marketed and many more are in various stages of development. These technologies mostly still require clinical trials outcome testing. However, lacking a formal regulatory approval process, some are already in use.SummaryPlans for long-term management of ICU survivors must account for the development of a holistic follow-up system that incorporates AI across multiple platforms. A tiered post-ICU screening program may be established wherein AI tools managed by ICU follow-up clinics provide appropriate assistance without human intervention in cases with less pathology and refer severe cases to expert treatment.
Keyword:
artificial intelligence
critical care outcomes
long-term care
psychology
social
survivors
期刊
IF:
3.4
论文数:
1.9K
被引数:
3.8K
机构
引用论文
Alcohols as Chain Transfer Agents in Nonhydrodewaxing of Hydrocracking Tail Oil醇作为非加氢脱蜡的链转移剂在加氢裂化尾油中的应用
Microstructure and wear resistance of the CuSn19Ti10/diamond composite coatings on copper substrate by laser cladding铜基体激光熔覆CuSn19Ti10/金刚石复合涂层的组织与耐磨性
Providing immediate digital mental health interventions and psychotrauma support during political crises
LANCET PSYCHIATRY
IF24.8
Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial使用心理人工智能 (Tess) 缓解抑郁和焦虑症状: 随机对照试验
JMIR MENTAL HEALTH
IF5.8
Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring用于远程医疗的无标记射频室内监测: 步态分析,室内定位,跌倒检测,震颤分析,生命体征和睡眠监测
SENSORS
IF3.5


