Surgery

Deep learning assisted non-invasive lymph node burden evaluation and CDK4/6i administration in luminal breast cancer.

Precise lymph node evaluation is fundamental to optimize CDK4/6 inhibitor therapy in luminal breast ...

Comment on "Artificial Intelligence in Surgical Coding: Evaluating Large Language Models for Current Procedural Terminology Accuracy in Hand Surgery".

Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma.

Posterior pituitary tumors (PPTs) are rare neoplasms, but easily misdiagnosed as pituitary neuroendo...

LRRT*: A robotic arm path planning algorithm based on an improved Levy flight strategy with effective region sampling RRT.

Aiming at the problems of blind sampling points and slow planning speed of path planning Rapidly-exp...

Cerebral aneurysm surgical training in the neuroendovascular era and its impact on the production of comfortable aneurysm surgeons.

BACKGROUND: The increasing use of endovascular techniques has greatly decreased the number of intrac...

High-Dimensional Operator Learning for Molecular Density Functional Theory.

Classical density functional theory (cDFT) provides a systematic framework to predict the structure ...

Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept.

BACKGROUND: Recent advancements in Artificial Intelligence (AI) have transformed the healthcare fiel...

Investigating the effectiveness of an intraoperative decision support guided fluid therapy intervention on postoperative outcome of high-risk patients undergoing high-risk abdominal surgery: protocol for an international multicentre stepped-wedge cluster-randomised implementation trial.

BACKGROUND: Inappropriate fluid administration can impact patient outcome. Intraoperative advanced h...

AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.

INTRODUCTION: In older patients, postoperative delirium (POD) is a major complication that can resul...

Predicting mortality risk following major lower extremity amputation using machine learning.

OBJECTIVE: Major lower extremity amputation for advanced vascular disease involves significant perio...

Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis...

Model parameterization of robotic systems through the bio-inspired optimization.

The accurate modeling of dynamic systems, particularly robotic ones, is crucial in the industry. It ...

Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.

Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients ma...

A soft robotic total artificial hybrid heart.

End-stage heart failure is a deadly disease. Current total artificial hearts (TAHs) carry high morta...

Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures.

BACKGROUND: Radiographic assessment is crucial for the success of a hip arthroplasty procedure as a ...

Social bonding between humans, animals, and robots: Dogs outperform AIBOs, their robotic replicas, as social companions.

In the evolving landscape of technology, robots have emerged as social companions, prompting an inve...

Artificial intelligence in prediction of postpartum hemorrhage: a primer and review.

Postpartum hemorrhage (PPH) is a leading cause of maternal mortality worldwide, and the ability to p...

Deep learning approaches to surgical video segmentation and object detection: A scoping review.

INTRODUCTION: Computer vision (CV) has had a transformative impact in biomedical fields such as radi...

Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery.

The integration of artificial intelligence (AI) into surgical care is rapidly transforming healthcar...

Patient Satisfaction Following Top Surgery: A RealSelf Analysis Using Advanced Natural Language Processing.

BACKGROUND: Chest masculinization (top) surgery nearly tripled from 2016 to 2020 and is often the on...

Interpretable machine learning model for predicting anastomotic leak after esophageal cancer surgery via LightGBM.

BACKGROUND: Postoperative anastomotic leakage (AL) is a severe complication following esophageal can...