Application of Robot Manipulator for Cardiopulmonary Resuscitation

Jung, Jaesug; Kim, Jeeseop; Kim, Sang-Hyun; Kwon, Woon Yong; Na, Sang Hoon; Kim, Kyung Soo; Suh, Gil Joon; Yoo, Byeong Wook; Choi, Jin Woo; Lee, Jung Chan; Park, Jaeheung

doi:10.1007/978-3-319-50115-4_24

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Robots have enough power to achieve high-quality CPR, which could overcome the shortcomings of manual CPR and mechanical CPR devices. Recently, Jung et al [ 31 ] developed an automated robotic CPR system that performs CPR automatically, analyzes the patient’s condition, and relays the information to the CPR system. In the initial state of the CPR process, the robot manipulator determines the optimal compression position by adjusting the point of pressure and, guided by end-tidal carbon dioxide levels, periodically and repeatedly delivers adequate speed and depth for performing CPR.…”

Section: Resultsmentioning

confidence: 99%

“…In the initial state of the CPR process, the robot manipulator determines the optimal compression position by adjusting the point of pressure and, guided by end-tidal carbon dioxide levels, periodically and repeatedly delivers adequate speed and depth for performing CPR. The combined CPR system can accurately capture the compression condition of patients, overcome the blank periods when medical personnel alternately perform CPR, and increase the probability of cardiac resuscitation [ 31 , 32 ].…”

Section: Resultsmentioning

confidence: 99%

“…However, there was a notable improvement in the neurological deficit scores observed 48 hours after resuscitation, suggesting a potential benefit in postresuscitation neurological outcomes [ 32 ]. Another study indicated that robot-assisted CPR outperformed traditional manual CPR methods, achieving higher resuscitation success rates in patients without specific injuries [ 31 ]. The anticipated benefits of incorporating robot-assisted CPR into clinical settings extend beyond merely improving resuscitation success rates.…”

Section: Resultsmentioning

confidence: 99%

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Advances in the Application of AI Robots in Critical Care: Scoping Review

Li,

Wang,

Wang

et al. 2024

J Med Internet Res

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Background In recent epochs, the field of critical medicine has experienced significant advancements due to the integration of artificial intelligence (AI). Specifically, AI robots have evolved from theoretical concepts to being actively implemented in clinical trials and applications. The intensive care unit (ICU), known for its reliance on a vast amount of medical information, presents a promising avenue for the deployment of robotic AI, anticipated to bring substantial improvements to patient care. Objective This review aims to comprehensively summarize the current state 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 concerns related to safety, patient privacy, responsibility delineation, and cost-benefit analysis. Methods Following the scoping review framework proposed by Arksey and O’Malley and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-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 literature search was carried out on May 1, 2023, across 3 databases: PubMed, Embase, and the IEEE Xplore Digital Library. Eligible publications were initially screened based on their titles and abstracts. Publications that passed the preliminary screening underwent a comprehensive review. Various research characteristics were extracted, summarized, and analyzed from the final publications. Results Of the 5908 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 expert-reviewed classification framework, these were categorized into 5 main types: therapeutic assistance robots, nursing assistance robots, rehabilitation assistance robots, telepresence robots, and logistics and disinfection robots. Most of these are already widely deployed and commercialized in ICUs, although a select few 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 staff and promote therapeutic and care procedures. This review further explored the prevailing challenges, particularly focusing on ethical and safety concerns, proposing viable solutions or methodologies, and illustrating the prospective capabilities and potential of AI-driven robotic technologies in the ICU environment. Ultimately, we foresee a pivotal role for robots in a future scenario of a fully automated continuum from admission to discharge within the ICU. Conclusions This review highlights the potential of AI robots to transform ICU care by improving patient treatment, support, and rehabilitation processes. However, it also recognizes the ethical complexities and operational challenges that come with their implementation, offering possible solutions for future development and optimization.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Advances in the Application of AI Robots in Critical Care: Scoping Review

Li,

Wang,

Wang

et al. 2024

J Med Internet Res

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Multi-faceted role of artificial intelligence (AI) in cardiopulmonary resuscitation (CPR): a narrative review

Kumari,

Asim

et al. 2024

AI Ethics

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Advances in the Application of AI Robots in Critical Care: Scoping Review (Preprint)

Li,

Wang,

Wang

et al. 2023

Preprint

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UNSTRUCTURED In recent epochs, the field of critical medicine has seen a plethora of advancements due to the advent of artificial intelligence. Foremost among these is the evolution of artificial intelligence robot, which has progressed from the conceptual phase to implementation in clinical trials and applications. The Intensive Care Unit (ICU), a highly information-based medical facilities, is one of the most auspicious platforms for robotic AI applications and poised to derive substantial benefits. However, the reports of AI robotic usage in ICUs remains scarce. This review undertakes an extensive literature exploration of the development and usage of AI robots in ICUs, classifying them into five broad categories based on functionality and deployment scenarios: therapeutic assistance robots, nursing assistance robots, rehabilitation assistance robots, telepresence robots, logistics and disinfection robots. Moreover, it encapsulates ethical conundrums associated with AI robot utilization in ICU scenarios such as safety apprehensions, patient privacy and confidentiality, delineation of responsibility and cost-benefit issues. We propose plausible strategies to circumvent these issues and offer suggestions for the broader application of AI robots in ICUs.

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Application of Robot Manipulator for Cardiopulmonary Resuscitation

Cited by 3 publications

References 11 publications

Advances in the Application of AI Robots in Critical Care: Scoping Review

Advances in the Application of AI Robots in Critical Care: Scoping Review

Multi-faceted role of artificial intelligence (AI) in cardiopulmonary resuscitation (CPR): a narrative review

Advances in the Application of AI Robots in Critical Care: Scoping Review (Preprint)

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