Surgery

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

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Machine-learning models for the prediction of ideal surgical outcomes in patients with adult spinal deformity.

AIMS: Adult spinal deformity (ASD) surgery can reduce pain and disability. However, the actual surgi...

Artificial intelligence and machine learning in knee arthroplasty.

BACKGROUND: Artificial intelligence (AI) and its subset, machine learning (ML), have significantly i...

GALR1 and PENK serve as potential biomarkers in invasive non-functional pituitary neuroendocrine tumours.

BACKGROUND: Some nonfunctioning pituitary neuroendocrine tumor (NFPitNET) can show invasive growth, ...

Artificial Intelligence in Breast Reconstruction: A Narrative Review.

Breast reconstruction following mastectomy or sectorectomy significantly impacts the quality of life...

Human-Centered Sensor Technologies for Soft Robotic Grippers: A Comprehensive Review.

The importance of bio-robotics has been increasing day by day. Researchers are trying to mimic natur...

A Survey of Robotic Monocular Pose Estimation.

Robotic monocular pose estimation is an important part of neural monocular pose estimation-driven me...

Clinical Application of Artificial Intelligence Preoperative Planning System Combined with Expert Database Retrieval in Complex Revision Hip Surgery.

Accurate preoperative planning in revision hip arthroplasty is crucial for achieving successful outc...

Robotic-based Experimental Procedure for Colorimetric Gas Sensing Development.

This paper presents a robot-based experimental program aimed at developing an efficient and fast col...

Management of Dupuytren's Disease: A Multi-Centric Comparative Analysis Between Experienced Hand Surgeons Versus Artificial Intelligence.

: Dupuytren's fibroproliferative disease affecting the hand's palmar fascia leads to progressive fin...

Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique.

Surgical castration of males is carried out on a large scale in the US swine industry and the pain r...

Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.

Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. ...

Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged pa...

Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa.

Unplanned readmission within 30 days is a major challenge both globally and in South Africa. The aim...

An advanced robotic system incorporating haptic feedback for precision cardiac ablation procedures.

This study introduces an innovative master-slave cardiac ablation catheter robot system that employs...

Machine Learning Predicts Bleeding Risk in Atrial Fibrillation Patients on Direct Oral Anticoagulant.

Predicting major bleeding in nonvalvular atrial fibrillation (AF) patients on direct oral anticoagul...

Artificial Intelligence Based Augmented Reality Navigation in Minimally Invasive Partial Nephrectomy.

OBJECTIVE: To explore the role of artificial intelligence based augmented reality intraoperative rea...

Machine learning for temporary stoma after intestinal resection in surgical decision-making of Crohn's disease.

BACKGROUND: Crohn's disease (CD) often necessitates surgical intervention, with temporary stoma crea...

Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study.

This study evaluates the performance of deep learning models in the prediction of the end time of pr...

Constitutive neural networks for main pulmonary arteries: discovering the undiscovered.

Accurate modeling of cardiovascular tissues is crucial for understanding and predicting their behavi...

[MP-MRI in the evaluation of non-operative treatment response, for residual and recurrent tumor detection in head and neck cancer].

As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has inc...

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