Surgery

Decision analysis and reinforcement learning in surgical decision-making.

BACKGROUND: Surgical patients incur preventable harm from cognitive and judgment errors made under t...

Toward automatic C-arm positioning for standard projections in orthopedic surgery.

PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative flu...

A Novel Robotic Endoscopic Device Used for Operative Hysteroscopy.

To trial the use of a novel endoscopic robot that functions using concentric tube robots, enabling 2...

Negshell casting: 3D-printed structured and sacrificial cores for soft robot fabrication.

Soft robot fabrication by casting liquid elastomer often requires multiple steps of casting or skill...

Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network.

Millions of somatic mutations have recently been discovered in cancer genomes. These mutations in ca...

[Potential for improvement by new resection and imaging techniques in TUR-B].

Transurethral resection of bladder tumors (TURB) is the cornerstone in urological care of bladder ca...

Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism.

PURPOSE: Ischemic priapism is a urological emergency that requires prompt intervention to preserve e...

Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension.

BACKGROUND: Models that predict postoperative complications often ignore important intraoperative ev...

Deep Learning for Improved Risk Prediction in Surgical Outcomes.

The Norwood surgical procedure restores functional systemic circulation in neonatal patients with si...

Compensatory motion scaling for time-delayed robotic surgery.

BACKGROUND: Round trip signal latency, or time delay, is an unavoidable constraint that currently st...

A novel model for predicting the outcome of intracerebral hemorrhage: Based on 1186 Patients.

OBJECTIVE: To establish a model for predicting the outcome according to the clinical and computed to...

Untethered Single Cell Grippers for Active Biopsy.

Single cell manipulation is important in biosensing, biorobotics, and quantitative cell analysis. Al...

Investigating exploration for deep reinforcement learning of concentric tube robot control.

PURPOSE: Concentric tube robots are composed of multiple concentric, pre-curved, super-elastic, tele...

Comparison of FreeHand robot-assisted with human-assisted laparoscopic fundoplication.

OBJECTIVE: To compare the safety, operative time and feasibilty of FreeHand robot (FreeHand Ltd, Gui...

Reply to Mutlu Ates and Yigit Akin's Letter to the Editor re: Giuseppe Simone, Umberto Anceschi, Gabriele Tuderti, et al. Robot-assisted Partial Adrenalectomy for the Treatment of Conn's Syndrome: Surgical Technique, and Perioperative and Functional Outcomes. Eur Urol 2019;75:811-6.

Time-Driven activity-based costing identifies opportunities for process efficiency and cost optimization for robot-assisted laparoscopic pyeloplasty.

BACKGROUND: Robot-assisted laparoscopic pyeloplasty (RALP) is a commonly performed procedure in chil...

Classification of hyperspectral endocrine tissue images using support vector machines.

BACKGROUND: Thyroidectomy is one of the most commonly performed surgical procedures. The region of t...

Lomboaortic Lymphadenectomy in Gynecological Oncology: Laparotomy, Laparoscopy or Robot-Assisted Laparoscopy?

BACKGROUND: The outcomes of paraaortic lymphadenectomy were compared for the treatment of gynecologi...

Lower Incidence of Postoperative Acute Kidney Injury in Robot-Assisted Partial Nephrectomy Than in Open Partial Nephrectomy: A Propensity Score-Matched Study.

Acute kidney injury (AKI) after partial nephrectomy is attributed to parenchymal reduction and isch...

Biologically inspired swimming robotic frog based on pneumatic soft actuators.

Research on soft robots and swimming robots has been widely reported and demonstrated. However, none...

Artificial intelligence in gastroenterology: where are we heading?

Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various m...