Surgery

Machine Learning Approach to Predict Pain Outcomes Following Primary and Secondary Targeted Muscle Reinnervation in Amputees.

INTRODUCTION: Targeted Muscle Reinnervation (TMR) can prevent and treat neuropathic pain in amputees, but the degree of success varies. This study developed a Machine Learning (ML) model to predict the likelihood of sustained pain mitigation following primary and secondary TMR based on patient characteristics. METHODS: Patients who underwent TMR at a tertiary care center (2017-2024) were included....

Rhinoplasty Education During Residency: Discussion of Current Barriers, Challenges, and Opportunities for Improvement.

BACKGROUND: Rhinoplasty is a complex operation that warrants careful consideration of both functional and aesthetic principles. Despite its prevalence within plastic surgery and otolaryngology-head and neck surgery fields-its exposure and education are highly variable among training programs. The purpose of this study is to identify the various supplemental methods utilized outside of the operatin...

Performance Evaluation of a Commercial Deep Learning Software for Detecting Intracranial Hemorrhage in a Pediatric Population.

This study evaluates a commercially available AI tool (Aidoc) for intracranial hemorrhage (ICH) detection-originally trained on adults-in pediatric pa...

Rethinking Cardiopulmonary Bypass Management in The Digital Health Era.

Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorten recovery, and improve cosmetic and functional ou...

Identification of Glioma Phenotypic Subtypes From Multimodal MRI Data Using Hierarchical Multi-Kernel Learning.

BACKGROUND: Gliomas are the most common primary brain tumors, exhibiting significant phenotypic variability even within the same grade. Identifying gl...

Time-Resolved Fluorescence and Diffuse Reflectance (TRF-DR) Spectroscopy for Heterogeneous Breast Tissue Classification and Tumor Margin Assessment.

Re-excision rates remain high for early-stage breast cancer patients due to challenges in margin delineation during surgery, such as poorly defined tu...

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis.

AIM: Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine lea...

Graph Convolutional Networks Enable Fast Hemorrhagic Stroke Monitoring With Electrical Impedance Tomography.

OBJECTIVE: To develop a fast image reconstruction method for stroke monitoring with electrical impedance tomography with image quality comparable to c...

A Deep Learning-Based Human-Robot Collaborative Navigation Framework for Vascular Interventional Surgery.

BACKGROUND: Autonomous robotic surgery has demonstrated its potential for the optimal outcomes. However, vascular interventional surgery (VIS) with fl...

Identification of Reproducible CT-Image Based Radiomic Features That Predict Shoulder Arthroplasty Outcomes.

The goal of this radiomic analysis is to quantify the sensitivity of radiomic features on computed tomography (CT) image pre-processing parameters and...

Monitoring the lateral ventricles in the presence of intracranial hemorrhage using automated dual segmentation.

BACKGROUND: Segmentation of intracranial hemorrhage (ICH) alongside the brain's ventricles can provide crucial information in the management stroke or...

Machine Learning Based Prediction of Tibial Insert Thickness in Total Knee Arthroplasty From Intraoperative Knee Joint Laxity Data.

Total knee arthroplasty (TKA) represents the gold standard for relieving pain and restoring function in patients with end-stage knee osteoarthritis. S...

Effects of ABO-Incompatible Blood Transfusion on Immune Response and Rejection After Organ Transplantation.

BACKGROUND: Peri-operative blood transfusion is common during solid-organ transplantation, yet the impact of ABO-incompatible (ABOi) blood exposure on...

Machine learning model for fast prediction and uncertainty quantification of needle deflection during prostate biopsy.

BACKGROUND: Accurate needle placement is essential for prostate biopsy. Recently, transperineal prostate biopsies are receiving renewed interest due t...

Six-axis robotic extrusion of hybrid hydrogels for biomimetic airway model fabrication.

Respiratory diseases remain a major global health burden, motivating the need for improved experimental lung models that capture both anatomical geome...

Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.

BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap...

Multiclass classification of infections after cervical spine surgery in the elderly: a machine learning approach based on preoperative and perioperative data.

Analysis of Clinical Improvement at 90 Days After Varicose Vein Surgery Using Machine Learning.

Outcomes after intervention for chronic venous insufficiency (CVI) is difficult to predict. This study aimed to develop machine learning (ML) models t...

Prediction of mortality, bleeding, and ischaemic events in patients with cancer and acute coronary syndrome: a model development and validation study.

BACKGROUND: Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform nov...

Early Implications for Solid Organ Transplantation With the Use of Artificial Intelligence From a Bibliometric Perspective.

Artificial intelligence (AI) is increasingly transforming health care, particularly in solid organ transplantation, where it addresses complex challen...