Surgery

Biophysical modeling and artificial intelligence for quantitative assessment of anastomotic blood supply in laparoscopic low anterior rectal resection.

PURPOSE: Fluorescence imaging is critical for intraoperative intestinal perfusion assessment in colo...

Risk Factors and Outcomes of Hemorrhagic Transformation in Acute Ischemic Stroke Following Thrombolysis: Analysis of a Single-Center Experience and Review of the Literature.

: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, provi...

Our tools redefine what it means to be us: perceived robotic agency decreases the importance of agency in humanity.

Past work has primarily focused on how the perception of robotic agency influences human-robot inter...

Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients.

The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...

Comment on "Optimized machine learning model for predicting unplanned reoperation after rectal cancer anterior resection".

Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography.

The coronary angiography-derived fractional flow reserve (FFR) curve, referred to as the Angio-FFR c...

Video-based multi-target multi-camera tracking for postoperative phase recognition.

PURPOSE: Deep learning methods are commonly used to generate context understanding to support surgeo...

New Mixed Reality Headset: First Exploratory Use in Intraocular Surgery and Telementoring.

INTRODUCTION: In this work, we aimed to explore the applicability of a mixed reality headset (MRH) i...

Peripheral blood immune landscape and NXPE3 as a novel biomarker for hypertensive intracerebral hemorrhage risk prediction and targeted therapy.

We employed bulk RNA-seq and scRNA-seq techniques to analyze the immune dysregulation in patients wi...

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single-center retrospective study in China.

PURPOSE: To assess the predictive capability of CT radiomics features for early recurrence (ER) of p...

SwinCVS: a unified approach to classifying critical view of safety structures in laparoscopic cholecystectomy.

PURPOSE: Laparoscopic cholecystectomy is one of the most commonly performed surgeries in the UK. Des...

Micro- and Nano-Bots for Infection Control.

Medical micro- and nano-bots (MMBs and MNBs) have attracted a lot of attention owing to their precis...

Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods.

Ovarian cancer surgery requires multiple radical resections with a high risk of complications. The ...

Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.

OBJECTIVE: The infiltration status of pulmonary ground-glass nodules (GGNs) exhibits significant var...

Artificial Intelligence Augmentation: Performance of GPT-4 and GPT-3.5 on the Plastic Surgery In-service Examination.

BACKGROUND: ChatGPT-3.5 scored in the 52nd percentile of the Plastic Surgery In-service Examination,...

Intelligent control of robotic X-ray devices using a language-promptable digital twin.

PURPOSE: Natural language offers a convenient, flexible interface for controlling robotic C-arm X-ra...

Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions.

Robotic technology is expected to transform rehabilitation settings, by providing precise, repetitiv...

Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers.

BACKGROUNDS: In recent years, numerous robotic devices, together with allied technologies, have been...

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation.

BACKGROUND: Postoperative acute kidney injury (AKI) is a significant risk associated with surgeries ...

Predicting anaerobic digestion stability in load-flexible operation using gas phase indicators and classification algorithms.

This study investigates early warning indicators for process instabilities in anaerobic digestion ca...

Effect of esketamine on the EC of remifentanil for suppression of choking cough during extubation.

Choking cough during awakening from anesthesia is common (15%-94%) and can cause severe discomfort a...