Surgery

Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy.

Knee arthroscopy is a minimally invasive surgery used in the treatment of intra-articular knee patho...

Isolated Hepatic Metastasis of Prostate Cancer with Variable F-fluociclovine Uptake by PET/CT Imaging.

A 74-year-old man presented with rapid rising prostate-specific antigen (PSA) 2 years after treatmen...

Cervical-transoral robotic nasopharyngectomy: A preclinical study.

BACKGROUND: We performed a preclinical study to assess the feasibility of the cervical-transoral rob...

Towards near real-time assessment of surgical skills: A comparison of feature extraction techniques.

BACKGROUND AND OBJECTIVE: Surgical skill assessment aims to objectively evaluate and provide constru...

A machine learning approach to predict surgical learning curves.

BACKGROUND: Contemporary surgical training programs rely on the repetition of selected surgical moto...

Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.

Background and Purpose- Hematoma volume measurements influence prognosis and treatment decisions in ...

The digital surgeon: How big data, automation, and artificial intelligence will change surgical practice.

Exponential growth in computing power, data storage, and sensing technology has led to a world in wh...

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.

BACKGROUND: Current guidelines recommend surgical resection as the first-line option for patients wi...

Robotic Cardiac Surgery Part II: Anesthetic Considerations for Robotic Coronary Artery Bypass Grafting.

Coronary artery bypass grafting represents one of the most commonly performed cardiac surgeries worl...

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the d...

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.

In patients with obstructive coronary artery disease, the functional significance of a coronary arte...

Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos.

The present study aimed to conduct a real-time automatic analysis of two important surgical phases, ...

Segment IV approach for difficult laparoscopic cholecystectomy.

Although achieving the critical view of safety (CVS) is useful for avoiding vasculobiliary injury du...

The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study.

BACKGROUND: Postoperative pancreatic fistula remains an unsolved challenge after pancreatoduodenecto...

Novel approaches for glioblastoma treatment: Focus on tumor heterogeneity, treatment resistance, and computational tools.

BACKGROUND: Glioblastoma (GBM) is a highly aggressive primary brain tumor. Currently, the suggested ...

Autoantibodies production and immunological abnormalities after bariatric surgery.

OBJECTIVE: Bariatric surgery is a widely used procedure for the treatment of obesity. Our aim is to ...

Comparison of the initial operative experience of a single surgeon carrying out robot-assisted laparoscopic pyeloplasty, laparoendoscopic single-site pyeloplasty and conventional laparoscopic pyeloplasty.

Transanal total mesorectal excision for rectal cancer: a multicentric cohort study.

BACKGROUND: Transanal total mesorectal excision (taTME) has recently emerged as a promising novel su...

An artificial neural network ensemble approach to generate air pollution maps.

The objective of this research is to propose an artificial neural network (ANN) ensemble in order to...

Surgical experience of using the endoscope manipulator robot EMARO in totally extraperitoneal inguinal hernia repair: A case report.

Robot-assisted surgery has advanced rapidly since the 1980s. However, new equipment is still needed ...

Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines.

BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular car...