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Robotic Surgical Procedures

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Most cited protocols related to «Robotic Surgical Procedures»

Evaluating Interdisciplinary Research Trends

Cited 6 times

There are various indicators used in the study to better demonstrate distribution of the literature. The total local citation score (TLCS) and the total global citation score (TGCS) were calculated in this study, which have been the key indicators capable of evaluating the relevance of each research paper in our sample [16 ]. TLCS refers to the number of times that a set of papers included in a collection has been cited by other papers within the same collection, whereas TGCS refers to the number of times that a set of papers included in a collection has been cited in the WoSCC [17 (link)]. In addition, the average global citation score (AGCS) is the mean value of TGCS. However, it should be noted that TLCS presents the important papers in a chosen research area, whereas TGCS mainly displays the effects of the papers related to a chosen research area on the papers in the WoSCC [18 (link)]. Distribution of the literature was presented using the HistCite tool, which is an analysis and visualization software that helps us to obtain information at the country and institution level [19 ]. Meanwhile, we divided the 21 years into 4 periods of time to exam the distribution at the country level.
Furthermore, interdisciplinarity and cross-disciplinarity have been buzzwords for the last few years, which are used to describe contributions from and collaborations among several or more disciplines. Interdisciplinary means that the content of research is not only a method or ability in a field but a field that involves more [20 (link)]. Through interdisciplinary research, we can more comprehensively understand the research content of a field. Interdisciplinary inevitably exists between disciplines, indicating that the scope involved in a certain field is constantly expanding [21 (link)]. Meanwhile, research areas constitute a subject categorization scheme that is shared by all Web of Science product databases. The literature indexed by WoSCC is assigned to at least 1 subject category, which is mapped to 1 research area [22 ]. VOSviewer—a software tool developed by Nees Jan van Eck and Ludo Waltman at Leiden University's Centre for Science and Technology Studies [23 (link)]—was employed to visualize the interdisciplinary collaboration on the basis of subject categorization of publication [24 (link)]. Each node represents a discipline, whereas the connection between nodes represents collaborations between disciplines. In addition, nodes with a close connection are assigned the same color to form their respective clusters. Furthermore, a co-occurrence matrix was generated by using the Bibliographic Item Co-occurrence Mining System (BICOMS) [25 (link)] to calculate the centrality, which includes degree centrality, closeness centrality, and betweenness centrality by using Ucinet6.6 [26 (link)]. Degree centrality is simply the number of tie of a given type that a node has; closeness is an inverse measure of centrality in the sense that large numbers indicate that a node is highly peripheral, whereas small numbers indicate that a node is more central; betweenness centrality is a measure of how often a given node falls along the shortest path between 2 other nodes [27 ]. Moreover, we analyzed the centrality in the different periods of time based on the top 5 centralities over the period from 1997 to 2017.
In addition, we used Cortext to visualize the evolution of individual disciplines and interdisciplinary clusters. The tubes layout represents the transformation of cluster of discipline over time [28 (link)-30 ]. The width of tubes represents the number of records in which they appear in the same cluster. Darker tubes mean more disciplines are shared between 2 consecutive time periods.
Finally, 3 stages were completed, as follows, regarding the analysis of research hotspots. First, BICOMS was employed to calculate the frequency of keywords. Subsequently, a total of 13,706 keywords were obtained and merged based on the following 4 criteria [31 (link)]: (1) merging some keywords into corresponding Medical Subject Headings terms using PubMed (eg, “gynaecology” and “lymphadenectomy” were merged into “gynecology” and “lymph node excision,” respectively); (2) unifying the uppercase and lowercase of some keywords (eg, “Laparoscopy” and “Bladder cancer” were changed to “laparoscopy” and “bladder cancer,” respectively); (3) standardizing the singular and plural of keywords (eg, “child” and “pediatric” were changed to “children” and “pediatrics,” respectively); and (4) merging some synonym keywords (eg, “minimal invasive surgery” and “MIS” were replaced by “minimally invasive surgery”). After merging, 90 keywords with frequencies not less than 40 were obtained.
Second, we used BICOMS to generate the 88×88 co-occurrence matrix of keywords with a frequency not less than 40. It is worth noting that we removed robotic surgery and surgical robot because they are our research object. Then, a social network map was drawn with respect to these 88 keywords by Ucinet6.6 and VOSviewer [26 (link),32 ,33 (link)], which intuitively reflects the relationship between keywords of high frequency. The relative size of nodes is proportional to the frequency of keywords, whereas the relative width of lines is proportional to the correlation between keywords [34 (link)].
Third, we detected the burst strength of the cleaned keywords and drew a temporal bar graph for high-burst strength keywords. Burst strength depicts the intensity of the burst, that is, how great the change is in the word frequency that triggered the burst. Kleinberg burst detection algorithm [35 (link)] can recognize the sudden increase of word frequency over time and detect the burst of keyword popularity effectively. We chose Science of Science (Sci2) [36 ], which can implement this algorithm to find out the burst terms in the processed data and calculate the burst strength. Finally, 48 keywords with a burst strength of not less than 4 were obtained. However, these keywords may only be core keywords to a certain extent. Further screening by word frequency can improve the quality of core keywords. The higher the number of keyword frequency, the more likely it is to become a hot topic in future. Then we drew a temporal visualization map of 26 keywords with a frequency no less than 40 and burst strength more than 4 by Sci2 [37 (link)]. Each keyword has its own starting and ending time, and the area of each bar reflects its burst strength.

Shen L., Wang S., Dai W, & Zhang Z. (2019). Detecting the Interdisciplinary Nature and Topic Hotspots of Robotics in Surgery: Social Network Analysis and Bibliometric Study. Journal of Medical Internet Research, 21(3), e12625.

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Publication 2019

Biological Evolution Bladder Neoplasm Child Darkness Laparoscopy Lymph Node Excision Maritally Unattached Minimally Invasive Surgical Procedures Operative Surgical Procedures Robotic Surgical Procedures

Robotic-Assisted Colorectal Procedures: Surgical Outcomes

Cited 6 times

This study was approved by the institutional review board. Data were abstracted into a retrospective database for analysis. Fifty consecutive robotic-assisted laparoscopic surgery (RALS) procedures were performed between August 2008 and September 2009 by an experienced laparoscopic colorectal surgeon (E.M.H.).
Docking time (DT) was defined as the time required to position the robot and secure the robotic arms to the corresponding port sites. The surgeon console time (SCT) was the actual time the surgeon spent at the robotic console during the procedure, which directly corresponded to the robotic portion of the procedure. The total operative time (OT) spanned the time from the first incision to the final closure. The surgical procedures included abdominoperineal resection (APR), anterior rectosigmoidectomy (AR), low anterior resection (LAR), and rectopexy (RP).
All the procedures were performed in a medial-to-lateral approach, with early identification and ligation of the inferior mesenteric artery and vein when indicated. The left ureter and hypogastric plexus were routinely identified and preserved. When required, the splenic flexure was taken down using conventional laparoscopic technique. The anastomoses were performed intracorporeally with the ECS29 circular stapling device (Endopath^® ILS; Ethicon Endo-Surgery, Cincinnati, OH, USA).
Patients who underwent pelvic radiation were routinely diverted with loop ileostomy. Demographic data including patient gender, age, body mass index (BMI), and American Society of Anesthesiologists (ASA) score were tabulated. Intraoperative parameters including DT, SCT, OT, and estimated blood loss (EBL) were analyzed as well as the patient’s hospital length of stay (LOS).

Bokhari M.B., Patel C.B., Ramos-Valadez D.I., Ragupathi M, & Haas E.M. (2010). Learning curve for robotic-assisted laparoscopic colorectal surgery. Surgical Endoscopy, 25(3), 855-860.

Publication 2010

Anesthesiologist Arm, Upper Endometriosis Ethics Committees, Research Gender Hemorrhage Hypogastric Plexus Index, Body Mass Laparoscopy Left Colic Flexure Ligation Loop Ileostomies Medical Devices Mesenteric Arteries, Inferior Operative Surgical Procedures Patients Pelvis Radiotherapy Resection, Abdominoperineal Robotic Surgical Procedures Surgeons Surgical Anastomoses Ureter Veins

Expertise-Based Randomized Comparison of Open and Robotic Radical Cystectomy

Cited 5 times

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Publication 2014

Fellowships Female Castrations Fibrosis Hysterectomy Intestines Lymphadenopathy Neoplasms Operative Surgical Procedures Patients Pelvis Prostatectomy Reconstructive Surgical Procedures Robotic Surgical Procedures Signs and Symptoms Surgeons Urinary Diversion Vascular Diseases Woman

Surgical Approaches for Clinical Stage IA Lung Cancer

Cited 4 times

The study population was derived from the NCD data on patients who underwent surgery for primary lung cancer between January 1, 2014 and December 31, 2015, at 887 surgical units. Records with incomplete data or unspecified patient status within 30 days after surgery were excluded. A total of 78,594 patients who underwent lung cancer resection, with complete data, were registered. Patients with clinical stage IB-IV (N = 30,590) and those who underwent robotic surgery (N = 83) were excluded. Finally, 47,921 patients with surgically treated clinical stage IA lung cancer were selected for analysis.
The NCD registry required the selection of either thoracotomy or VATS as the surgical approach for each lung cancer operation. Herein, we reclassified the surgical approach used in registered cases into thoracotomy or MIA. MIA was divided into complete VATS and VATS with mini-thoracotomy of 8 cm or less (VATS + mini-thoracotomy) [6 (link)] according to the definition of Swanson et al. [7 (link)]. The presence or absence of rib-spreading is not yet specified in the NCD registry.
Accordingly, the comorbidities should be entered in accordance with the established criteria [5 (link)]. The surgical characteristics were analyzed in terms of procedure, type of nodal dissection, blood loss, number of staples applied, maximum wound length, conversion to thoracotomy, and number of access ports [5 (link)]. Postoperative major morbidity was defined in accordance with the Society of Thoracic Surgeons risk model [6 (link), 8 (link), 9 (link)].

Ikeda N., Endo S., Fukuchi E., Nakajima J., Yokoi K., Chida M., Date H., Iwasaki A., Yokomise H., Sato M., Okumura M., Yamamoto H., Miyata H, & Kondo T. (2020). Current status of surgery for clinical stage IA lung cancer in Japan: analysis of the national clinical database. Surgery Today, 50(12), 1644-1651.

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Publication 2020

Dissection Hemorrhage Lung Cancer Malignant Neoplasms Operative Surgical Procedures Patients Pulmonary Surgical Procedures Robotic Surgical Procedures Staple, Surgical Surgeons Thoracic Surgery, Video-Assisted Thoracotomy Wounds

Analysis of JIGSAWS Robotic Surgery Dataset

Cited 4 times

Three robotic-assisted surgery simulation exercises (suturing, knot-tying and needle passing) were performed on a da Vinci surgical system at Johns Hopkins University [22 ]. Motion data collected from the da Vinci API were collected and made available online [30 ]. This study is an analysis of the published dataset.
The dataset includes kinematic data, video data, gestures and a GRS score. Data were collected from participants performing five trials of three exercises (suturing, knot-tying and needle passing) using the da Vinci surgical system. Kinematic data were collected directly from the da Vinci API. The GRS score is a modified OSATS scale assigned during each trial by a trained observer. Global rating scale data are provided as part of the JIGSAWS dataset and require no analysis. The GRS score has six scales including respect for tissue, suture/needle handling, time and motion, flow of operation, overall performance and quality of final product, measured from 1 to 5. [22 ].
Data were collected from eight participants (referred to in the dataset as B, C, D, E, F, G, H and I), who performed the three exercises. Each performance by a participant is referred to as a trial, for a maximum of 40 trials for each of the three exercises [22 ]. The developers of the dataset described corruption of data for some trials. Data for these trials are not available. The actual number of trials analyzed for each exercise is shown in Table 1 [22 ]. SD skill levels were based on participant self-classifications based on hours of experience as novice (< 10 h), intermediate (10–100 h) or expert (> 100 h) operators. There were four novices (B, G, H and I), two intermediates (C and F) and two experts (D and E) based on SD skill levels.Table 1

JIGSAWS dataset global rating scale scores according to skill level and task. Skill level is self-declared by the participant according to criteria in [12 (link)]

	Suturing	Knot-tying	Needle passing
Number of trials	39	36	28
Novice	17.5 ± 4.40	10.7 ± 4.19	16.0 ± 5.14
Intermediate	25.1 ± 4.09	17.1 ± 4.28	14.0 ± 6.05
Expert	16.3 ± 3.65	17.7 ± 3.02	12.4 ± 2.35
Correlation of self-declared skill levels with global rating scale scores^a	r = 0.104 p = 0.53	r = 0.55 p = 0.0005	r = − 0.293 p = 0.13

Global rating scale scores are reported as mean ± standard deviation

^aSpearman’s correlation

Lefor A.K., Harada K., Dosis A, & Mitsuishi M. (2020). Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set using Robotics Video and Motion Assessment Software. International Journal of Computer Assisted Radiology and Surgery, 15(12), 2017-2025.

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Publication 2020

Needles Robotic Surgical Procedures Sutures Tissues

Most recents protocols related to «Robotic Surgical Procedures»

Invasive Knee Joint Tracking Protocol

Not available on PMC !

Example 1

Provided herein is an exemplary embodiment of workflow for tracking and registering a knee joint using markers that are drilled into the in tibia and femur of the knee joint in the patient and protrude out from their placement site. The placement of the marker in order to track and register the bones of the knee joint is an invasive procedure that damages the tissue at and around the knee joint. The marker is used in marker-based tracking to track and register the knee joint and in robot-assisted surgical systems. Such invasive fixation of markers to bones may lead to complications, infections, nerve injury, and bone fracture. The marker fixation may reduce the flexibility during the procedure as the protruding markers may get in the way during the procedure. The surgical procedure may take longer to fix the marker into place than a markerless approach.

US11857271B2. Markerless navigation using AI computer vision (2024-01-02). Future Health Works Ltd. [GB]. Inventors: Thomas Harte [GB], Huy Quoc Phan [GB].

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Patent 2024

Bones Femur Fracture, Bone Infection Injuries Knee Joint Nervousness Operative Surgical Procedures Patients Robotic Surgical Procedures Tibia Tissues

Surgical Procedures Database Analysis

Categories of common surgical purposes and procedures were set across the fields and included transplantation surgery, trauma surgery, surgical oncology (operations of malignant disease), endoscopic and minimum invasive surgery, including robot-assisted surgery, and the number of corresponding programs were counted. As an example of advanced medical technologies, mediastinoscopic radical esophagectomy for esophageal cancer [5 (link)–7 (link)], transanal minimally invasive surgery (TAMIS) and transanal total mesorectal excision (TaTME) for rectal cancer [8 (link), 9 (link)], laparoscopic pancreaticoduodenectomy (Lap-PD) for pancreatic lesions [10 (link)], and minimally invasive cardiac surgery (MICS) for cardiovascular lesions [11 (link)] were selected, and their numbers were counted.

Shichinohe T., Date H., Hatano E., Kobayashi E., Hiramatsu M., Hirano S., Izawa Y, & Shirakawa Y. (2023). Cadaver surgical training and research using donated cadavers in the field of surgery in Japan: an overview of reports from 2012 to 2021. Surgery Today.

Publication 2023

Cardiovascular System Endoscopy Esophageal Cancer Esophagectomy Heart Laparoscopy Malignant Neoplasms Mediastinoscopy Minimally Invasive Surgical Procedures Operative Surgical Procedures Pancreas Pancreaticoduodenectomy Proctectomy Robotic Surgical Procedures Transanal Minimally Invasive Surgery Transplantation Wounds and Injuries

Surgical Approaches for Cardiac Myxoma Resection

In 25 patients (25/28, 89.29%), RHMs were excised through median sternotomy under cardiopulmonary bypass using aortic and bicaval cannulation (cardiac arrest in 23, beating heart in 2). To prevent detachment of the mass and intra-operative embolization, we minimized movement and compression of the heart during the surgery. Right atriotomy was performed in all 25 patients; of these, 2 cases were RVM, and ventricular tumors were approached across the tricuspid valve in 1 patient and through an extra right ventriculotomy in the other patient. The basic principle of excision was the complete resection of the tumor and its attached sites. The attachment sites of RHM are listed in Table 1. All myxomas were excised completely. The defect of the atrial septum and right atrial free wall after myxoma resection was repaired with a bovine or autologous pericardial patch when needed. Transesophageal echocardiography was performed at the end of the procedure to assess the presence of a residual tumor or interatrial shunting after septal reconstruction.
Of the remaining 3 patients, 2 underwent total endoscopic robotic RAM resection with da Vinci Surgical System (Intuitive Surgical, Sunnyvale, Calif, USA), and 1 underwent total thoracoscopic surgery for RAM resection. Both robotic and thoracoscopic surgeries are minimally invasive procedures for which the peripheral cardiopulmonary bypass was established via right internal jugular venous cannulation and femoral arterial and venous cannulations. In both these procedures, RAM was excised via right atriotomy on the beating heart without aortic occlusion. The principles for myxoma resection were the same as those for conventional surgeries with median sternotomy.

Liu Y., Li X., Liu Z., Jiang Y., Lu C., Ge S, & Zhang C. (2023). Clinical Characteristics and Surgical Outcomes of Right Heart Myxoma and Its Comparison with Left Heart Myxoma: A Single-Center Retrospective Study. Anatolian Journal of Cardiology, 27(3), 146-152.

Publication 2023

Aorta Arteries Atrial Septal Defects Atrium, Right Cannulation Cardiac Arrest Cardiac Tamponade Cardiopulmonary Bypass Cattle Dental Occlusion Echocardiography, Transesophageal Embolization, Therapeutic Endoscopy Femur Heart Heart Ventricle Jugular Vein Median Sternotomy Movement Myxoma Neoplasms Operative Surgical Procedures Patients Pericardium Reconstructive Surgical Procedures Residual Tumor Robotic Surgical Procedures Septum, Atrial Surgical Endoscopy Surgical Procedures, Thoracoscopic Valves, Tricuspid Veins

Autonomous Robotic Assembly of Modular Truss

The Built On-orbit Robotically assembled Gigatruss (BORG) concept is focused on testing autonomous robotic operations for assembling a hybrid truss structure consisting of deployed and strut-assembled elements. This mixed assembly approach combines the quick assembly time of a deployable structure with the small launch volume of a piece-by-piece assembly system.
The assembly uses a checkerboard scheme with deployable units connecting at corners and completing the structure with close-out elements to reduce strut redundancy. This approach will be tested at FASER by creating a 3 × 3 × 3 unit truss structure. Each deployable structure will be a cube 3 m on a side, resulting in a cubic truss 9 m on a side. The number of modules and dimensions used in this demonstration were chosen arbitrarily, as the design is scalable to any number of modules and dimensions.
For this construction, the BORG cube will be assembled by a team of heterogeneous robots. The DM unit will be used for precision manipulation and support of the structure throughout the assembly processes. The DM will be outfitted as an EE on the LRM, which provides gross movement capability. With a repeated assembly scheme, additional layers in every direction can be added to construct a larger free-standing BORG truss with no additional complexity.

Chapin S., Everson H., Chapin W., Quartaro A, & Komendera E. (2023). Built On-orbit Robotically assembled Gigatruss (BORG): A mixed assembly architecture trade study. Frontiers in Robotics and AI, 10, 1109131.

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Publication 2023

Genetic Heterogeneity Hybrids Movement Orbit Robotic Surgical Procedures Trusses

Postoperative ICU Monitoring After Abdominal Surgery

From July 2020 to February 2022, we performed a prospective observational study in a 22-bed ICU of a single tertiary hospital. All patients aged over 18 years who were admitted to the ICU after abdominal surgery performed under general anesthesia were eligible for inclusion, regardless of the surgical technique, such as laparotomy, laparoscopic or robotic surgery. If the patient underwent endovascular surgery or percutaneous transluminal angioplasty, they were excluded from enrollment. However, cases of open thrombectomy or emergent exploration due to abdominal aortic aneurysmal rupture were enrolled. Patients who met any one of these criteria were excluded from study enrollment: (1) those who had any contraindication or significant confounders of BIA, such as any prosthetic medical devices including an implanted cardiac defibrillator, pacemaker, or metallic intravascular device, or any bone fixation implants or limb amputation; (2) pregnant women; (3) those who underwent extracorporeal membrane oxygenation treatment before surgery; (4) those who were readmitted within 48 h after discharge from the ICU or died within 72 h after surgery; (5) those who were admitted to the ICU only for medical causes without surgery, and (6) those lacking or missing essential BIA data. Patients such as those receiving hemodialysis for end-stage renal disease or severe acute kidney injury that could be significant confounders of laboratory inflammation tests such as presepsin (18 (link), 19 (link)), were also excluded from the study analysis. Written informed consent was obtained from each patient and the recruiting data, including demographics, disease profile, and laboratory results, were reviewed retrospectively. This study was approved and carefully monitored by our Institutional Review Board (No. IRB; KC22RISI0346), and was performed in accordance with the 1964 Declaration of Helsinki and its later amendments.

Lee G.R, & Kim E.Y. (2023). Usefulness of phase angle on bioelectrical impedance analysis as a surveillance tool for postoperative infection in critically ill patients. Frontiers in Medicine, 10, 1111727.

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Publication 2023

Abdomen Amputation Aortic Aneurysm, Abdominal Aortic Aneurysm, Ruptured Bones Defibrillators Extracorporeal Membrane Oxygenation General Anesthesia Heart Hemodialysis Inflammation Kidney Failure, Acute Kidney Failure, Chronic Laparoscopy Laparotomy Medical Devices Metals Operative Surgical Procedures Pacemaker, Artificial Cardiac Patient Discharge Patients Percutaneous Transluminal Angioplasty Pregnant Women Prosthesis Robotic Surgical Procedures Thrombectomy

Top products related to «Robotic Surgical Procedures»

Da vinci surgical system by Intuitive Surgical

Sourced in United States

The da Vinci Surgical System is a robotic-assisted surgical device designed for minimally invasive procedures. It consists of a surgeon's console, a patient-side cart with four robotic arms, and a high-definition 3D vision system. The system allows the surgeon to perform complex surgical maneuvers with enhanced dexterity, precision, and control.

Da vinci si by Intuitive Surgical

Sourced in United States

The da Vinci Si is a surgical system designed to perform minimally invasive procedures. It consists of a surgeon's console, a patient-side cart with four robotic arms, and a high-definition 3D vision system. The system allows the surgeon to control the instruments with precision, flexibility, and control.

Da vinci si surgical system by Intuitive Surgical

Sourced in United States

The da Vinci Si Surgical System is a robotic-assisted surgical device designed for minimally invasive surgery. It is composed of a console where the surgeon sits and controls the robotic arms, and a patient-side cart with four robotic arms that hold the surgical instruments. The system allows the surgeon to perform complex surgical procedures with enhanced precision, flexibility, and control.

Da vinci xi surgical system by Intuitive Surgical

Sourced in United States

The da Vinci Xi Surgical System is a robotic surgical platform designed to assist surgeons in performing a variety of minimally invasive surgical procedures. The system consists of a surgeon's console, a patient-side cart with four robotic arms, and a vision system. The system enables the surgeon to operate with enhanced precision, flexibility, and control through smaller incisions than traditional open surgical procedures.

Da vinci si system by Intuitive Surgical

Sourced in United States

The Da Vinci Si system is a robotic surgical platform designed for minimally invasive procedures. It features a console, patient cart, and vision cart. The system allows for enhanced visualization, precision, and control during surgical interventions.

Da vinci xi system by Intuitive Surgical

Sourced in United States, Switzerland

The da Vinci Xi system is a surgical robot designed for use in minimally invasive procedures. It features a console, patient-side cart, and camera and instrument arms. The system allows the surgeon to control the instruments and camera from the console, providing greater precision and control during the procedure.

Da vinci xi by Intuitive Surgical

Sourced in United States

The Da Vinci Xi is a robotic surgical system designed for minimally invasive surgical procedures. It features a high-definition 3D vision system and wristed instruments that provide surgeons with enhanced dexterity and precision.

Da vinci robotic system by Intuitive Surgical

Sourced in United States

The da Vinci robotic system is a computer-assisted surgical device designed to facilitate complex surgical procedures. The system consists of a surgeon's console, a patient-side robot with four interactive robotic arms, and a high-definition 3D vision system. The core function of the da Vinci system is to translate the surgeon's hand movements into more precise and controlled movements of the surgical instruments within the patient's body.

Da vinci system by Intuitive Surgical

Sourced in United States

The da Vinci System is a surgical robot designed for minimally invasive surgery. It consists of a surgeon's console, a patient-side cart with four interactive robotic arms, a high-definition 3D vision system, and specialized surgical instruments. The system allows the surgeon to perform complex surgical procedures with enhanced precision, flexibility, and control.

Robotic xi surgical system by Intuitive Surgical

Sourced in Switzerland, United States

The Robotic Xi Surgical System is a surgical platform developed by Intuitive Surgical. The system is designed to assist surgeons in performing minimally invasive procedures. The core function of the Robotic Xi Surgical System is to provide surgeons with a set of tools and technologies to enhance their precision, dexterity, and control during complex surgical operations.

More about "Robotic Surgical Procedures"

Robotic surgical procedures, also known as computer-assisted or robot-assisted surgeries, have become increasingly prevalent in modern healthcare.
These advanced surgical techniques leverage the latest advancements in robotics and computer technology to enhance precision, dexterity, and access during complex medical interventions.
One of the pioneering robotic surgical systems is the Da Vinci Surgical System, developed by Intuitive Surgical.
The Da Vinci Si, Da Vinci Si Surgical System, Da Vinci Xi Surgical System, and Da Vinci Xi system are all variations of this innovative robotic platform, each offering unique features and capabilities to meet the diverse needs of medical professionals.
The Da Vinci robotic system, with its da Vinci Xi and da Vinci Si models, provides surgeons with enhanced control, improved visibility, and a more ergonomic operating experience.
These systems utilize a network of robotic arms, high-definition cameras, and intuitive user interfaces to facilitate minimally invasive surgical procedures, often with improved outcomes for patients.
Researchers and healthcare providers can explore the wealth of literature, preprints, and patents related to robotic surgical protocols and products using AI-driven platforms like PubCompare.ai.
These tools enable the optimization of research protocols, the identification of the best available products, and the streamlining of decision-making processes, ultimately leading to more informed and effective surgical interventions.
Whether you're a surgeon, a medical researcher, or a healthcare administrator, understanding the nuances and advancements in robotic surgical procedures can be crucial for delivering high-quality, patient-centered care.
By leveraging the power of technologies like the Da Vinci Surgical System and AI-driven platforms such as PubCompare.ai, you can stay at the forefront of this rapidly evolving field and make informed decisions that positively impact patient outcomes.