Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and shorter hospital stay. However, the added benefit of the robotic platform over conventional laparoscopy is a matter of ongoing investigation.
This research was aimed to explore the application value of intelligent algorithm-based digital images in Da Vinci robot-assisted treatment of patients with gastric cancer surgery. 154 patients were included as the research objects, with 89 cases in the control group underwent laparoscopic surgery, and 65 cases in the experimental group underwent robotic surgery. According to the propensity score,...
Jellyfish have attracted worldwide attention owing to their fantastic moving styles, which also inspired development in soft robotics to meet the dema...
BACKGROUND: Robotic-assisted cardiovascular interventional surgery is an effective means to reduce the exposure of X-ray radiation to surgeons. Howeve...
Fully insertable robotic imaging devices represent a promising future of minimally invasive laparoscopic vision. Emerging research efforts in this fie...
BACKGROUND: The Senhance Digital Laparoscopy System (Asensus Surgical Inc, Morrisville, NC, United States), which was introduced for the first time in...
BACKGROUND: Delays in admitting high-risk emergency surgery patients to the intensive care unit result in worse outcomes and increased health care cos...
Surgical margin analysis (SMA), an essential procedure to confirm the complete excision of cancerous tissue in tumor resection surgery, requires intra...
Cell deformability is a useful feature for diagnosing various diseases (e.g., the invasiveness of cancer cells). Existing methods commonly inflict pre...
To determine the stone-free rates (SFR) with robot-assisted mini-endoscopic combined intrarenal surgery (mini-ECIRS) and evaluate the impact of intra...
Automated robotic testing is an emerging testing approach for mobile apps that can afford complete black-box testing. Compared with other automated te...
Machine Learning (ML) has been widely used in predicting the mode of childbirth and assessing the potential maternal risks during pregnancy. The prima...
The aim of this study was to investigate the therapeutic effect of minimally invasive aspiration on intracerebral hemorrhage (ICH) and the value of ar...
In the framework of the backstepping algorithm, this article proposes a new function approximation technique (FAT)-based compound learning control law...
BACKGROUND: Commercialised laparoscopic surgical robotic systems require a large operating room and can only be used in large hospitals. If the roboti...
BACKGROUND: Artificial intelligence (AI) applications aiming to support surgical decision-making processes are generating novel threats to ethical sur...
In recent decades, robot-assisted surgery has been proven superior at providing more accurate outcomes than the conventional one, particularly in mini...
In order to explore the construction and implementation effect of a procedural nursing system for laparoscopic surgery in general surgery based on dee...
Intercostal cavernous hemangioma is extremely rare among benign vascular tumors. Achieving a definitive diagnosis preoperatively by radiographic exami...