首页|Medical School of Chinese People’s Liberation Army (PLA) Reports Findings in Rob otics (Advances in the Application of AI Robots in Critical Care: Scoping Review )
Medical School of Chinese People’s Liberation Army (PLA) Reports Findings in Rob otics (Advances in the Application of AI Robots in Critical Care: Scoping Review )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated, “In recent epochs, t he field of critical medicine has experienced significant advancements due to th e integration of artificial intelligence (AI). Specifically, AI robots have evol ved from theoretical concepts to being actively implemented in clinical trials a nd applications.” Our news editors obtained a quote from the research from the Medical School of C hinese People’s Liberation Army (PLA), “The intensive care unit (ICU), known for its reliance on a vast amount of medical information, presents a promising aven ue for the deployment of robotic AI, anticipated to bring substantial improvemen ts to patient care. This review aims to comprehensively summarize the current st ate of AI robots in the field of critical care by searching for previous studies , developments, and applications of AI robots related to ICU wards. In addition, it seeks to address the ethical challenges arising from their use, including co ncerns related to safety, patient privacy, responsibility delineation, and cost- benefit analysis. Following the scoping review framework proposed by Arksey and O’Malley and the PRISMA (Preferred Reporting Items for Systematic Reviews and Me ta-Analyses) guidelines, we conducted a scoping review to delineate the breadth of research in this field of AI robots in ICU and reported the findings. The lit erature search was carried out on May 1, 2023, across 3 databases: PubMed, Embas e, and the IEEE Xplore Digital Library. Eligible publications were initially scr eened based on their titles and abstracts. Publications that passed the prelimin ary screening underwent a comprehensive review. Various research characteristics were extracted, summarized, and analyzed from the final publications. Of the 59 08 publications screened, 77 (1.3%) underwent a full review. These studies collectively spanned 21 ICU robotics projects, encompassing their system development and testing, clinical trials, and approval processes. Upon an exper t-reviewed classification framework, these were categorized into 5 main types: t herapeutic assistance robots, nursing assistance robots, rehabilitation assistan ce robots, telepresence robots, and logistics and disinfection robots. Most of t hese are already widely deployed and commercialized in ICUs, although a select f ew remain under testing. All robotic systems and tools are engineered to deliver more personalized, convenient, and intelligent medical services to patients in the ICU, concurrently aiming to reduce the substantial workload on ICU medical s taff and promote therapeutic and care procedures. This review further explored t he prevailing challenges, particularly focusing on ethical and safety concerns, proposing viable solutions or methodologies, and illustrating the prospective ca pabilities and potential of AI-driven robotic technologies in the ICU environmen t. Ultimately, we foresee a pivotal role for robots in a future scenario of a fu lly automated continuum from admission to discharge within the ICU. This review highlights the potential of AI robots to transform ICU care by improving patient treatment, support, and rehabilitation processes.”
BeijingPeople’s Republic of ChinaAsi aClinical ResearchClinical Trials and StudiesCritical CareCritical Care MedicineEmerging TechnologiesHealth and MedicineMachine LearningNano-rob otRehabilitationRoboticsRobots
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