Surgery

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 pros...

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 ...

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

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 t...

Machine Learning Predictions for Assessing Hard-to-Place Deceased Donor Kidneys.

RATIONALE & OBJECTIVE: Nearly 20% of deceased donor kidneys in the United States are placed "out-of-...

Head-to-Head Comparison of 2 Artificial Intelligence Computer-Aided Triage Solutions for Detecting Intracranial Hemorrhage on Noncontrast Head CT.

BACKGROUND AND PURPOSE: This study aims to provide a comprehensive comparison of the performance and...

AI Tools in Plastic Surgery: A Scoping Review.

BACKGROUND: The use and standardization of innovative artificial intelligence (AI) tools continue to...

Computer-Guided Biopsy of Osteosclerotic Jaw Lesion Using 3D-Printed Surgical Guides: A Fully Digital Workflow.

Osteosclerotic jaw lesions, often incidentally detected on routine radiographs, are rarely biopsied ...

[Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].

BACKGROUND: Artificial intelligence (AI) in surgical disciplines has the potential to support all ar...

An interpretable machine learning model for predicting survival in pancreatic cancer via SHAP: a multicenter study.

BACKGROUND: Existing pancreatic cancer prediction models still have significant limitations until no...

Artificial intelligence versus classical scoring systems: a comparative analysis of stone-free prediction after percutaneous nephrolithotomy.

This study aimed to compare the predictive performance of traditional stone scoring systems with a l...

ESM-AnatTractNet: Advanced deep learning model of true positive eloquent white matter tractography to improve preoperative evaluation of pediatric epilepsy surgery.

Accurate preoperative identification of true positive white matter pathways involved in critical elo...

Comparison of the accuracy of Robotic arm and Dynamic Navigation in the placement of mandibular dental implants: An in-vitro study.

OBJECTIVE: To compare the spatial accuracy between Robotic Computer-Assisted implant Surgery (R-CAIS...

Evaluating the methodological suitability of partial dependence plots and Shapley additive explanations for population-level interpretation of machine learning models in total joint arthroplasty.

BACKGROUND: Total joint arthroplasty (TJA) complications necessitate the development of accurate ris...

Use of Electrocardiograms to Identify Coronary Artery Disease: Cross-Validation of an Artificial Intelligence Model.

BACKGROUND: The current gold standard for the diagnosis of coronary artery disease (CAD) is invasive...

A Systematic Review of Applications, Challenges, and Future Trajectories of Artificial Intelligence in Cosmetic Surgery.

The global demand for cosmetic procedures is accelerating, with over 1.6 million aesthetic surgical ...

Medicolegal Implications and Current Landscape of Artificial Intelligence in Plastic Surgery.

Artificial intelligence (AI) is increasingly integrated into plastic and reconstructive surgery. It ...

Organ preservation in rectal cancer: an endoscopist's perspective on current evidence and future directions.

Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to mai...

Artificial Intelligence in Plastic Surgery: Current Status, Limitations, and Future Directions.

Artificial intelligence (AI) has become pervasive in and beyond plastic surgery. Myriad applications...

Prediction of intracerebral hemorrhage hematoma expansion: value of a novel deep learning system score.

OBJECTIVE: To develop and validate a deep learning system (DLS) model predicting hematoma expansion ...

Machine learning models for predicting futile recanalisation after endovascular treatment in patients with large core infarction.

BACKGROUND: Predicting futile recanalisation following endovascular treatment (EVT) in patients with...