Surgery

New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and predict short-term outcomes.

Maintaining Privacy in Artificial Intelligence-driven Bioinformatics: An Inquiry into the Suitability of Australia's Laws.

Since its humble origins in 1950, artificial intelligence (AI) has experienced exponential growth. In 2020 it seems that there is an AI for just about every aspect of life - from targeted advertising to minimally invasive surgery. It is generally thought that advancements in AI lead to advancements in human life. However, AI is an unprecedented form of technology with the ability to exceed human e...

[Launching Robot-Assisted Laparoscopic Surgery for Rectal Cancer in Our Hospital-Short-Term Results].

Robot-assisted laparoscopic surgery(RALS)for rectal cancer has been covered by National Health Insurance in Japan since April 2018. We launched RALS i...

[A Case of Port-Site Herniation from an Eight mm Port after Robot-Assisted Distal Gastrectomy].

A 63-year-old-woman was diagnosed with gastric cancer cStage ⅠA after ESD, and then, underwent robot-assisted distal gastrectomy. She vomited on the p...

The Future Directions of Research in Cardiac Anesthesiology.

This article provides an overview of knowledge gaps that need to be addressed in cardiac anesthesia, including mitigating the inflammatory effects of ...

Robotic transhiatal esophagectomy.

Horgan et al. described the first robotic-assisted transhiatal esophagectomy in 2003. Although there is debate regarding the oncologic appropriateness...

A structured training pathway to implement robot-assisted minimally invasive esophagectomy: the learning curve results from a high-volume center.

To ensure safe implementation of robot-assisted minimally invasive esophagectomy (RAMIE), the learning process should be optimized. This study aimed t...

Robot-assisted cervical esophagectomy: first clinical experiences and review of the literature.

Pulmonary complications, and especially pneumonia, remain one of the most common complications after esophagectomy for esophageal cancer. These compli...

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagectomy (RAMIE) and open transthoracic esophagectomy (O...

Technical details of the hand-sewn and circular-stapled anastomosis in robot-assisted minimally invasive esophagectomy.

The circular mechanical and hand-sewn intrathoracic anastomosis are most often used in robot-assisted minimally invasive esophagectomy (RAMIE). The ai...

Robot-assisted minimally invasive esophagectomy (RAMIE): tips and tricks from the bedside assistant view-expert experiences.

The role of bedside assistants in robot-assisted minimally invasive esophagectomy is important. It includes knowledge of the procedure, knowledge of t...

Intelligent rehabilitation assistant system to promote the early functional recovery of the elderly patients with femoral neck fracture after hemiarthroplasty (HA): A protocol for a randomized controlled trial.

BACKGROUND: Femoral neck fracture is a common type of hip fracture, which has a high morbidity and mortality. Surgical treatment is the first choice. ...

[Clinical research of a continuous auscultation recorder based on artificial intelligence].

To investigate the feasibility and clinical significance of a continuous auscultation recorder of bowel sounds based on artificial intelligence in mo...

Robot-Assisted Nephrectomy Using the Newly Developed Single-Port Robotic Surgical System: A Feasibility Study in Porcine Model.

To evaluate the feasibility and safety of the single-port robotic platform by performing nephrectomy in live porcine model. Robotic nephrectomy was...

VR and machine learning: novel pathways in surgical hands-on training.

PURPOSE OF REVIEW: Surgical training has dramatically changed over the last decade. It has become not only the way to prepare surgeons for their every...

Using Artificial Intelligence to Measure Facial Expression following Facial Reanimation Surgery.

Social interactions are largely dependent on the interpretation of information conveyed through facial expressions. Although facial reanimation seeks ...

Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.

Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conjunction with radiographic imaging techniques, have...

[Robot-assisted radical cystectomy with neobladder formation].

INTRODUCTION: Robot-assisted radical cystectomy (RARC) with intracorporeal neobladder formation is a complex surgical procedure.

3D computational cannula fluorescence microscopy enabled by artificial neural networks.

Computational cannula microscopy (CCM) is a high-resolution widefield fluorescence imaging approach deep inside tissue, which is minimally invasive. R...

[Identification of the relative age of iron gall ink in handwriting by capillary electrophoresis using the Fe(Ⅱ)/Fe(Ⅲ) ratio].

Identifying the relative age of iron gall ink in the handwriting on a questioned file is highly significant for court science, because it serves as im...