Surgery

An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal.

The public transportation sector generates large volumes of sensor data that, if analyzed adequately...

Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations.

Mud loss during drilling operations poses a significant problem in the oil and gas industry due to i...

Gait training using powered robotic exoskeleton for a person with spinal cord injury: a case report.

INTRODUCTION: Robotic Exoskeleton-assisted gait training is an emerging approach in spinal cord inju...

Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection.

Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable publ...

The evolution of research in orthopedic robotic surgery: global trends and future directions.

Robotic surgery enhances precision in orthopedic and trauma procedures like joint replacements and b...

AI-enhanced bioprocess technologies: machine learning implementations from upstream to downstream operations.

Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.

Intracranial haemorrhage (ICH) is a crucial medical emergency that entails prompt assessment and man...

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive r...

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of mode...

Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks.

Advances in robotic surgery are being driven by the convergence of technologies such as artificial i...

Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study.

BACKGROUND: High intraoperative blood pressure variability (HIBPV) is significantly associated with ...

Effects and neural mechanisms of a brain-computer interface-controlled soft robotic glove on upper limb function in patients with subacute stroke: a randomized controlled fNIRS study.

BACKGROUND AND PURPOSE: The brain-computer interface-based soft robotic glove (BCI-SRG) holds promis...

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients.

BACKGROUND: Coronary artery disease (CAD) remains a leading cause of global mortality, with stroke c...

Predicting outcomes following endovascular aortoiliac revascularization using machine learning.

Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease...

Systematic review of commercial artificial intelligence tools for the detection and volume quantification in intracerebral hemorrhage.

OBJECTIVES: This systematic review evaluates commercial imaging-based artificial intelligence (AI) s...

EXPEDITION: an Exploratory deep learning method to quantitatively predict hematoma progression after intracerebral hemorrhage.

OBJECTS: This study aims to develop an Exploratory deep learning method to quantitatively predict he...

Analyzing pediatric forearm X-rays for fracture analysis using machine learning.

PURPOSE: Forearm fractures constitute a significant proportion of emergency department presentations...

Flexible robotic platforms for surgical applications in microgravity environments: a comprehensive systematic review of minimally invasive mechatronic systems and the impact of artificial intelligence on behalf of the Center for Space Systems (C-SET) & TROGSS-The Robotic Global Surgical Society.

The advent of minimally invasive surgery (MIS) in the 1990s marked a transformative shift in surgica...

A Dynamic Machine Learning Model to Predict Angiographic Vasospasm After Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND AND OBJECTIVES: The goal of this study was to develop a highly precise, dynamic machine l...

The Digital Standardized Patient: An Artificial Intelligence Coach for Cultural Dexterity in Surgical Care.

BACKGROUND: Cultural dexterity, defined as the ability to effectively respond to diverse patient bac...

Will your next surgeon be a robot? Autonomy and AI in robotic surgery.

State-of-the-art surgery is performed robotically under direct surgeon control. However, surgical ou...