Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture.

Capsular contracture is a prevalent and severe complication that affects the postoperative outcomes of patients who receive silicone breast implants. At present, prosthesis replacement is the major treatment for capsular contracture after both breast augmentation procedures and breast reconstruction following breast cancer surgery. However, the mechanism(s) underlying breast capsular contracture r...

Sep 9 2023 38292203

Visual modalities-based multimodal fusion for surgical phase recognition.

Surgical workflow analysis is essential to help optimize surgery by encouraging efficient communication and the use of resources. However, the performance of phase recognition is limited by the use of information related to the presence of surgical instruments. To address the problem, we propose visual modality-based multimodal fusion for surgical phase recognition to overcome the limited diversit...

Sep 9 2023 37774560
Clean visual field reconstruction in robot-assisted laparoscopic surgery based on dynamic prediction.

Robot-assisted minimally invasive surgery has been broadly employed in complicated operations. However, the multiple surgical instruments may occupy a...

Sep 9 2023 37713788
Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study.

BACKGROUND: Accurate projections of procedural case durations are complex but critical to the planning of perioperative staffing, operating room resou...

Sep 8 2023 38875567
Perioperative, renal function and oncological outcomes of robot-assisted radical nephroureterectomy for patients with upper tract urothelial carcinoma.

PURPOSE: To report perioperative, renal function and oncological outcomes of robot-assisted radical nephroureterectomy (RNU) for patients with upper t...

Sep 7 2023 37676283
A robot-assisted laparoscopic revision of an artificial urinary sphincter in a patient with spinal cord injury.

This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bladder neck sited artificial urinary sphincter (AUS)...

Sep 6 2023 37591670
International survey on opinions and use of robot-assisted and laparoscopic minimally invasive pancreatic surgery: 5-year follow up.

BACKGROUND: Evidence on the value of minimally invasive pancreatic surgery (MIPS) has been increasing but it is unclear how this has influenced the vi...

Sep 6 2023 37739876
Safety and feasibility of single-port surgery for posterior retroperitoneal adrenalectomy using the da Vinci SP robotic system: a retrospective cohort study.

BACKGROUND: This study demonstrates our experience of single-port robotic posterior retroperitoneal adrenalectomy (RPRA) using the da Vinci SP robot s...

Sep 6 2023 37672110
Robotic calvarial bone sampling.

The aim of this study was to assess the feasibility of complex unicortical calvarial harvesting by using the Cold Ablation Robot-Guided Laser Osteotom...

Sep 6 2023 37806905
A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning.

Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when it also causes secondary intraventricular hemorrhag...

Sep 6 2023 37310835
Learning-Based Multimodal Information Fusion and Behavior Recognition of Vascular Interventionists' Operating Skills.

The operating skills of vascular interventionists have an important impact on the effect of surgery. However, current research on behavior recognition...

Sep 6 2023 37363852
Machine Learning Algorithms to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage: A Systematic Review and Meta-analysis.

Delayed cerebral ischemia (DCI) is a common and severe complication after subarachnoid hemorrhage (SAH). Logistic regression (LR) is the primary metho...

Sep 5 2023 37667079
iOCT-guided simulated subretinal injections: a comparison between manual and robot-assisted techniques in an ex-vivo porcine model.

The purpose of this study is to compare robot-assisted and manual subretinal injections in terms of successful subretinal blistering, reflux incidence...

Sep 5 2023 37670151
Extraperitoneal robot-assisted radical prostatectomy with the Hugo™ RAS system: initial experience of a tertiary center with a high background in extraperitoneal laparoscopy surgery.

PURPOSE: The Hugo™ RAS system is a novel robotic platform with innovative features. However, there are currently no available data on extraperitoneal ...

Sep 5 2023 37668717
Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review.

BACKGROUND: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. It is a promising tool combined with conventional ...

Sep 5 2023 37670316
Metaverse Surgical Planning with Three-dimensional Virtual Models for Minimally Invasive Partial Nephrectomy.

The recent integration of new virtual visualization modalities with artificial intelligence and high-speed internet connection has opened the door to ...

Sep 4 2023 37673751
Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press.

Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to ...

Sep 4 2023 37665543
Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation.

BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct observational feedback by experts is rarely provided...

Sep 1 2023 37655892
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