Surgery

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

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A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach.

This study introduces a high-resolution wind nowcasting model designed for aviation applications at ...

Using a Deep Learning Model to Predict Postoperative Visual Outcomes of Idiopathic Epiretinal Membrane Surgery.

PURPOSE: This study assessed the performance of various deep learning models in predicting the posto...

Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning.

OBJECTIVES: This study aimed to develop an automated skills assessment tool for surgical trainees us...

Robotic Microcapsule Assemblies with Adaptive Mobility for Targeted Treatment of Rugged Biological Microenvironments.

Microrobots are poised to transform biomedicine by enabling precise, noninvasive procedures. However...

Foot trajectory as a key factor for diverse gait patterns in quadruped robot locomotion.

Four-legged robots are becoming increasingly pivotal in navigating challenging environments, such as...

A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.

PURPOSE: This paper presents a deep learning approach to recognize and predict surgical activity in ...

Artificial intelligence in gastrointestinal cancers: Diagnostic, prognostic, and surgical strategies.

GI (Gastrointestinal) malignancies are one of the most common and lethal cancers globally. The dawn ...

Haptic Shared Control Framework with Interaction Force Constraint Based on Control Barrier Function for Teleoperation.

Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-t...

FocusUNet: Pioneering dual attention with gated U-Net for colonoscopic polyp segmentation.

The detection and excision of colorectal polyps, precursors to colorectal cancer (CRC), can improve ...

Postoperative fever after elective minimally invasive resection for gastric and colorectal cancer: incidence, risk factors and characteristics.

PURPOSE: To analyze the incidence and risk factors of postoperative fever (POF) in gastrointestinal ...

Machine Learning Approach for Sepsis Risk Assessment in Ischemic Stroke Patients.

BackgroundIschemic stroke is a critical neurological condition, with infection representing a signif...

Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma.

This study aimed to develop and validate machine learning (ML) models to predict the occurrence of d...

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into p...

Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients.

BACKGROUND: Hypotension is associated with organ injury and death in surgical and critically ill pat...

Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy.

Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is ess...

Hepatoid adenocarcinoma of the stomach with ideal response to neoadjuvant chemo-immunotherapy: a case report.

Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer characterized by hi...

Changes in hematoma volume following aneurysmal subarachnoid hemorrhage and its impact on patient prognosis.

OBJECTIVE: This study aims to investigate the effects of preoperative intracerebral hematoma volume ...

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