Surgery

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

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Machine learning adjusted sequential CUSUM-analyses are superior to cross-sectional analysis of excess mortality after surgery.

BACKGROUND: The assessment of clinical outcome quality, particularly in surgery, is crucial for heal...

(1)
Nov 2024 39546949
Artificial intelligence algorithms enhance urine cytology reporting confidence in postoperative follow-up for upper urinary tract urothelial carcinoma.

PURPOSE: In Taiwan, the incidence of urothelial carcinoma of the upper urinary tract (UTUC) is high ...

(2)
Nov 2024 39509034
Integrating AI into Breast Reconstruction Surgery: Exploring Opportunities, Applications, and Challenges.

Background: Artificial intelligence (AI) has significantly influenced various sectors, including hea...

(1)
Nov 2024 39545210
Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures.

Text-to-image models powered by artificial intelligence offer a promising tool for enhancing patient...

Nov 2024 40561443
Artificial intelligence based assessment of minimally invasive surgical skills using standardised objective metrics - A narrative review.

INTRODUCTION: Many studies display significant heterogeneity in the reliability of artificial intell...

Nov 2024 39561477
Multi-label text classification via secondary use of large clinical real-world data sets.

Procedural coding presents a taxing challenge for clinicians. However, recent advances in natural la...

(1)
Nov 2024 39505974
Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer.

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (M...

Nov 2024 39506051
Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy.

BACKGROUND: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although ...

(1)
Nov 2024 39501646
Convolutional neural network-based classification of craniosynostosis and suture lines from multi-view cranial X-rays.

Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial su...

Nov 2024 39496759
Development and validation of a novel AI framework using NLP with LLM integration for relevant clinical data extraction through automated chart review.

The accurate extraction of surgical data from electronic health records (EHRs), particularly operati...

(2)
Nov 2024 39500759
Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery.

Leveraging its ability to handle large and complex datasets, artificial intelligence can uncover sub...

Nov 2024 39501233
A Multi-Task Based Deep Learning Framework With Landmark Detection for MRI Couinaud Segmentation.

To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommo...

(2)
Nov 2024 39559826
Efficient brain tumor grade classification using ensemble deep learning models.

Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The ana...

Nov 2024 39487431
Active Machine Learning for Pre-procedural Prediction of Time-Varying Boundary Condition After Fontan Procedure Using Generative Adversarial Networks.

The Fontan procedure is the definitive palliation for pediatric patients born with single ventricles...

Oct 2024 39480609
Deep Learning Approaches for the Assessment of Germinal Matrix Hemorrhage Using Neonatal Head Ultrasound.

Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagn...

Oct 2024 39517949
Artificial Intelligence-Assisted Surgical Scene Recognition: A Comparative Study Among Health Care Professionals.

OBJECTIVE: To compare the ability of a deep-learning platform (the MACSSwin-T model) with health car...

Oct 2024 39474680
Management of experimental workflows in robotic cultivation platforms.

In the last decades, robotic cultivation facilities combined with automated execution of workflows h...

Oct 2024 39486480
Seizure Sources Can Be Imaged from Scalp EEG by Means of Biophysically Constrained Deep Neural Networks.

Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability o...

Oct 2024 39473085
Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter Study.

RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications i...

Oct 2024 39462736
Predicting Portal Pressure Gradient in Patients with Decompensated Cirrhosis: A Non-invasive Deep Learning Model.

BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to...

Oct 2024 39466491
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