Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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A Biomimetic Adhesive Disc for Robotic Adhesion Sliding Inspired by the Net-Winged Midge Larva.

Net-winged midge larvae (Blephariceridae) are known for their remarkable ability to adhere to and cr...

Rapid On-Site Histology of Lung and Pleural Biopsies Using Higher Harmonic Generation Microscopy and Artificial Intelligence Analysis.

Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reduci...

Applications of Artificial Intelligence in Facial Plastic and Reconstructive Surgery: A Narrative Review.

Artificial intelligence (AI) has made invaluable contributions to the technologic advancements acro...

Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery.

BACKGROUND: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various ...

Activation of a Soft Robotic Left Ventricular Phantom Embedded in a Closed-Loop Cardiovascular Simulator: A Computational and Experimental Analysis.

PURPOSE: Cardiovascular simulators are used in the preclinical testing phase of medical devices. The...

Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio-inspired Electronic Eyes and Neuromorphic Image Sensors.

In robotics, particularly for autonomous navigation and human-robot collaboration, the significance ...

Paranoid About Androids: A Review of Robotics in Radiology.

In tandem with the ever-increasing global population, the demand for diagnostic radiology service pr...

The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management.

INTRODUCTION AND AIMS: The future of oral oncology is significantly influenced by the incorporation ...

Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis.

INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degene...

Non-invasive brain-machine interface control with artificial intelligence copilots.

Motor brain-machine interfaces (BMIs) decode neural signals to help people with paralysis move and c...

Comparative Scoping Review: Robot-Assisted Upper Limb Stroke Rehabilitation in Low- and Middle-Income Countries Versus High-Income Nations.

OBJECTIVE: To examine robotic interventions for upper limb rehabilitation poststroke, focusing on ge...

Sensor technology and machine learning to guide clinical decision making in plastic surgery.

Subjective clinical evaluations are deeply rooted in medical practice. Recent advances in sensor tec...

Automation of biochemical assays using an open-sourced, inexpensive robotic liquid handler.

High Throughput Screening is crucial in pharmaceutical companies for efficient testing in drug disco...

Machine Learning for Prediction of Postoperative Delirium in Adult Patients: A Systematic Review and Meta-analysis.

PURPOSE: This meta-analysis aimed to evaluate the performance of machine learning (ML) models in pre...

Effectiveness of robotic rehabilitation for gait and balance in people with multiple sclerosis: a systematic review.

This review investigated the effectiveness of robotic-assisted gait training (RAGT) in improving gai...

Features selection in a predictive model for cardiac surgery-associated acute kidney injury.

BackgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is related to increased morbidity...

Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics.

DNA damage is a critical factor in the onset and progression of cancer. When DNA is damaged, the num...

Building and testing of a robotic intervention framework to enhancing the social engagement of children with autism spectrum disorder.

PURPOSE: Humanoid robot intervention programmes for children with autism spectrum disorder (ASD) are...

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