An original design of remote robot-assisted intubation system

Wang, Xinyu; Tao, Yuanfa; Tao, Xiandong; Chen, Jianglong; Jin, Yifeng; Shan, Zhengxiang; Tan, Jiyuan; Cao, Qixin; Pan, Tiewen

doi:10.1038/s41598-018-31607-y

Cited by 26 publications

(16 citation statements)

References 24 publications

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“…[34][35][36] Future of ML in anesthesiology: Clinical skills such as central venous catheter placement are not easily replaced by computers or robots, but clinical decision-making will have ML-driven applications in addition to our presence. 37,38 The models for the ML should apply multiple variables for developing the algorithms tailored for individual patients, e.g., disparate ethnic groups or residents of different regions may have unique physiologies and environmental factors impacting their clinical presentations.…”

Section: Technology Innovations In Anesthesiologymentioning

confidence: 99%

Technology Innovations in Anesthesiology

Schnetz¹,

Kaynar²,

Esper³

et al. 2021

ASA Monitor

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Section: Technology Innovations In Anesthesiologymentioning

confidence: 99%

Technology Innovations in Anesthesiology

Schnetz¹,

Kaynar²,

Esper³

et al. 2021

ASA Monitor

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“…91 More recently, a research group from China developed a mechanical robot designed specifically for intubation. 92 This research group conducted an experimental animal study demonstrating that a mechanical robot remotely controlled could allow individual with no experience with endotracheal intubation to achieve a higher first-pass rate and overall success rate by the robot system than with the standard direct laryngoscopy. 92 However, the total intubation time using the mechanical robot was longer compared with the other group using a direct laryngoscopy (75 vs 53 seconds; P < .01).…”

Section: Computer Assistance Of Intravenous Resuscitation Was One Of the First Clinical Interventions Attemptedmentioning

confidence: 99%

“…92 This research group conducted an experimental animal study demonstrating that a mechanical robot remotely controlled could allow individual with no experience with endotracheal intubation to achieve a higher first-pass rate and overall success rate by the robot system than with the standard direct laryngoscopy. 92 However, the total intubation time using the mechanical robot was longer compared with the other group using a direct laryngoscopy (75 vs 53 seconds; P < .01). 92 Robotic assistance with regional anesthesia has been tried via ultrasound-guided nerve block and placement of perineural catheter performed on a phantom using the DaVinci System, with the same constraints mentioned above for intubations.…”

Section: Computer Assistance Of Intravenous Resuscitation Was One Of the First Clinical Interventions Attemptedmentioning

confidence: 99%

Autonomous Systems in Anesthesia: Where Do We Stand in 2020? A Narrative Review

Zaouter

Joosten

Rinehart

et al. 2020

Anesthesia &Amp; Analgesia

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BIS = bispectral index; CDS = clinical decision support system; EEG = electroencephalogram; HSS = hybrid sedation system; MIMO = multiple input multiple output; SISO = single input single output; TCI = target-controlled infusion BACKGROUND: THE RATIONALE FOR ROBOTS IN ANESTHESIA Robots now surround our daily activities, doing everything from cleaning our homes to flying airplanes, and they exist in fields ranging from industry to medicine.In science fiction, we tend to conceptualize "robots" as human-shaped automata, but in general, a "robot" generally refers to any mechanical system capable of interacting with the environment with directed interventions.In medicine, automation offers precision therapy in combination with a high level of reproducibility. These features make robots appealing in the medical fields, and they have been used in the field of anesthesia for several decades assisting clinicians. 1,2 However, many well-tested autonomous systems and known to be safe have not been adopted yet into clinical practice on a daily basis. When we consider that repetitive execution of trivial technical tasks is subject to vigilance decrement in humans, as well as the fact that human providers may suffer from fatigue, boredom, and bias, there is a strong rationale for the role such systems may play in clinical care. 3,4 Using robots to assist in the acquisition of patient data, simple decision-making, and manual tasks may leave physicians freer to focus efficiently on tasks requiring human intelligence and judgment. 5 As most of us are aware, almost every facet of our society is becoming, for better or worse, progressively more technology-dependent. Technological advancement has made autonomous systems, also known as robots, an integral part of our life in several fields, including medicine. The application of robots in anesthesia could be classified into 3 types of robots. The first ones are pharmacological robots. These robots are based on closed-loop systems that allow betterindividualized anesthetic drug titration for optimal homeostasis during general anesthesia and sedation. Recent evidence also demonstrates that autonomous systems could control hemodynamic parameters proficiently outperforming manual control in the operating room. The second type of robot is mechanical. They enable automated motorized reproduction of tasks requiring high manual dexterity level. Such robots have been advocated to be more accurate than humans and, thus, could be safer for the patient. The third type is a cognitive robot also known as decision support system. This type of robot is able to recognize crucial clinical situation that requires human intervention. When these events occur, the system notifies the attending clinician, describes relevant related clinical observations, proposes pertinent therapeutic options and, when allowed by the attending clinician, may even administer treatment. It seems that cognitive robots could increase patients' safety. Robots in anesthesia offer not only the possibility to free the attending cl...

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“…Do et al (2016) proposed a mechatronic tracheostomy tube for automated tracheal suctioning. Wang et al (2018) developed a remote robotassisted intubation system to improve the success rate of the pre-hospital intubation and rescue model. Most of the studies on the tracheotomy system localize the position between the endotracheal tube and the carina.…”

Section: Introductionmentioning

confidence: 99%

Pilot Study of Trans-oral Robotic-Assisted Needle Direct Tracheostomy Puncture in Patients Requiring Prolonged Mechanical Ventilation

et al. 2020

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COVID-19 can induce severe respiratory problems that need prolonged mechanical ventilation in the intensive care unit. While Open Tracheostomy (OT) is the preferred technique due to the excellent visualization of the surgical field and structures, Percutaneous Tracheostomy (PT) has proven to be a feasible minimally invasive alternative. However, PT's limitation relates to the inability to precisely enter the cervical trachea at the exact spot since the puncture is often performed based on crude estimation from anatomical laryngeal surface landmarks. Besides, there is no absolute control of the trajectory and force required to make the percutaneous puncture into the trachea, resulting in inadvertent injury to the cricoid ring, cervical esophagus, and vessels in the neck. Therefore, we hypothesize that a flexible mini-robotic system, incorporating the robotic needling technology, can overcome these challenges by allowing the trans-oral robotic instrument of the cervical trachea. This approach promises to improve current PT technology by making the initial trachea puncture from an “inside-out” approach, rather than an “outside-in” manner, fraught with several technical uncertainties.

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An original design of remote robot-assisted intubation system

Cited by 26 publications

References 24 publications

Technology Innovations in Anesthesiology

Technology Innovations in Anesthesiology

Autonomous Systems in Anesthesia: Where Do We Stand in 2020? A Narrative Review

Pilot Study of Trans-oral Robotic-Assisted Needle Direct Tracheostomy Puncture in Patients Requiring Prolonged Mechanical Ventilation

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