Surgery

The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We dev...

Surgical technique for mesorectal division during robot-assisted laparoscopic tumor-specific mesorectal excision (TSME) for rectal cancer using da Vinci Si surgical system: the simple switching technique (SST).

In a narrow pelvic cavity, performing sufficient tumor-specific mesorectal excision (TSME) is diffic...

Residents' Views on the Impact of Robotic Surgery on General Surgery Education.

OBJECTIVE: The use of the da Vinci Robot has been fast growing in general surgery in the United Stat...

A comparison of the effects and usability of two exoskeletal robots with and without robotic actuation for upper extremity rehabilitation among patients with stroke: a single-blinded randomised controlled pilot study.

BACKGROUND: Robotic rehabilitation of stroke survivors with upper extremity dysfunction may yield di...

First clinical experience with single-port robotic transanal minimally invasive surgery (SP rTAMIS) for benign rectal neoplasms.

BACKGROUND: The new da Vinci Single-Port (SP) robot is a single-arm four-channel robotic system well...

Adoption of Single-Port Robotic Prostatectomy: Two Alternative Strategies.

To demonstrate two distinct methods for adopting the single-port (SP) robotic surgery system for ro...

Artificial Intelligence and Its Role in Identifying Esophageal Neoplasia.

Randomized trials have demonstrated that ablation of dysplastic Barrett's esophagus can reduce the r...

Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research int...

Improvement in early continence after introduction of periurethral suspension stitch in robotic prostatectomy.

Early urinary incontinence remains a major source of morbidity for patients undergoing robotic prost...

Natural language processing with machine learning to predict outcomes after ovarian cancer surgery.

OBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured f...

Feasibility, safety and efficacy of argon beam coagulation in robot-assisted partial nephrectomy for solid renal masses ≤ 7 cm in size.

One of the most important steps of the partial nephrectomy (PN) is hemostatic control of tumor bed w...

Resection of the medial wall of the cavernous sinus in functioning pituitary adenomas: Technical note and outcomes in a matched-cohort study.

BACKGROUND: Parasellar dural invasion can be associated with treatment failure after excision of fun...

Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.

PURPOSE: Automatic surgical skill assessment is an emerging field beneficial to both efficiency and ...

Evidence-based evolution of our robot-assisted laparoscopic prostatectomy (RALP) technique through 13,000 cases.

Robot-assisted laparoscopic radical prostatectomy (RALP) has become the standard of surgical care in...

Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.

Deep learning (DL) is a widely applied mathematical modeling technique. Classically, DL models utili...

Robotic hepatic resection in postero-superior region of liver.

OBJECTIVE: Laparoscopic hepatectomy in the posterosuperior hepatic region is technically challenging...

Using conditional generative adversarial networks to reduce the effects of latency in robotic telesurgery.

The introduction of surgical robots brought about advancements in surgical procedures. The applicati...

The impact of surgical learning curve on survival - reopening the door for minimally invasive surgery in the management of cervical cancer?

Uptake and accessibility of surgical robotics in England.

BACKGROUND: The distribution, utilisation and accessibility of surgical robotics in England is unkno...

Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study.

PURPOSE: Accurate prediction of postoperative remission is beneficial for effective patient-physicia...

Artificial intelligence and surgical innovation: lower limb arthroplasty.

The number of patients requiring hip and knee arthroplasty continues to rise each year. Patients are...