Surgery

A Concentric Tube Steerable Drilling Robot for Minimally Invasive Spinal Fixation of Osteoporotic Vertebrae.

Spinal fixation with rigid pedicle screws have shown to be an effective treatment for many patients....

Novel Solution for Using Neural Networks for Kidney Boundary Extraction in 2D Ultrasound Data.

: Kidney ultrasound (US) imaging is a significant imaging modality for evaluating kidney health and ...

Laparoscopic continent cutaneous urinary diversion using a modified Yang-Monti technique in an adult: A case report including 5-year follow-up.

Continuous cutaneous urinary diversion is challenging when the appendix is physically unavailable. T...

Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta.

BACKGROUND: Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) diso...

Neural prosthesis control restores near-normative neuromechanics in standing postural control.

Current lower-limb prostheses do not provide active assistance in postural control tasks to maintain...

Chewing gum prophylaxis for postoperative nausea and vomiting in the intensive care unit: a pilot randomised controlled trial.

To test the effectiveness of chewing gum in the prophylaxis of postoperative nausea and vomiting (P...

Randomized controlled phase III trial to investigate superiority of robot-assisted gastrectomy over laparoscopic gastrectomy for clinical stage T1-4aN0-3 gastric cancer patients (JCOG1907, MONA LISA study): a study protocol.

BACKGROUND: Laparoscopic gastrectomy (LG) is considered a standard treatment for clinical stage I ga...

Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease.

BACKGROUND: Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracere...

A Comparison of Endoscope-Assisted and Open Frontoorbital Distraction for the Treatment of Unicoronal Craniosynostosis.

BACKGROUND: Frontoorbital distraction osteogenesis (FODO) is an established surgical technique for p...

Using Machine Learning to Select Breast Implant Volume.

BACKGROUND: In breast augmentation surgery, selection of the appropriate breast implant size is a cr...

Anaphylactic Shock to Intravenous Indocyanine Green During a Robotic Right Colectomy.

Intravenous indocyanine green (IV ICG) is regarded as a safe immunofluorescence agent used to assess...

Remote teaching system for robotic surgery and its validation: results of a randomized controlled study.

BACKGROUND: Currently, only a limited number of remote assistance modalities are utilized in the bas...

Detection and classification of adult epilepsy using hybrid deep learning approach.

The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by...

Microsurgery Robots: Applications, Design, and Development.

Microsurgical techniques have been widely utilized in various surgical specialties, such as ophthalm...

Effect of having and switching multiple avatars on the operator's right to talk and receive social support.

People with communication difficulties encounter several challenges in their daily online interactio...

Robotic en bloc resection for T4 left-sided colon cancer-A video vignette.

Comparison of clinical efficacy of da Vinci robot-assisted lung cancer surgery with two-, three- and four-hole approaches.

Orifice reduction strategies for da Vinci robotic surgery have been a hot topic of research in recen...

Feasibility of robotic multivisceral resections in colorectal cancer patients: a NSQIP-based study.

Multivisceral robotic surgery may be an alternative to sequential procedures in select patients with...

Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.

BACKGROUND: With Surgomics, we aim for personalized prediction of the patient's surgical outcome usi...

Aggregate Formation and Antibody Stability in Infusion Bags: The Impact of Manual and Robotic Compounding of Monoclonal Antibodies.

Monoclonal antibodies (mAbs) can be damaged during the aseptic compounding process, with aggregation...

A multimodal deep learning model for predicting severe hemorrhage in placenta previa.

Placenta previa causes life-threatening bleeding and accurate prediction of severe hemorrhage leads ...