Surgery

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

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Evaluating the generalizability of video-based assessment of intraoperative surgical skill in capsulorhexis.

PURPOSE: Assessment of intraoperative surgical skill is necessary to train surgeons and certify them...

HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading.

Osteoporotic vertebral compression fractures (OVCFs) are prevalent in the elderly population, typica...

[Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].

BACKGROUND: The use of digital technologies is becoming increasingly important in medicine and is ha...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advance...

Performance of multimodal prediction models for intracerebral hemorrhage outcomes using real-world data.

BACKGROUND: We aimed to develop and validate multimodal models integrating computed tomography (CT) ...

Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach.

: Glioblastoma (GBM) is a highly aggressive primary central nervous system tumor with a median survi...

Zero-shot large language model application for surgical site infection auditing.

INTRODUCTION: Artificial intelligence, in particular large language models (LLM), may be able to ass...

A Machine Learning Method for Predicting Acute Kidney Injury in Patients with Intracranial Hemorrhage.

Intracranial hemorrhage (ICH) is a critical and urgent condition in clinical practice. Recent resear...

Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.

Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income cou...

UKF-based model parameter estimation to localize the seizure onset zone in ECoG.

Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...

A machine learning model using echocardiographic myocardial strain to detect myocardial ischemia.

Coronary functional assessment plays a critical role in guiding decisions regarding coronary revascu...

Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models.

PURPOSE: With the aging population, the demand for total hip arthroplasty (THA) and total knee arthr...

Data-driven identification of urgent surgical procedures for use in trauma outcomes measurement.

BACKGROUND: No standardized list of urgent-trauma-surgery exists for analysis in injury studies. If ...

Delirium in Critically Ill Geriatric Surgical Patients: A Systematic Review of Screening, Risk Factors, Diagnosis, and Management.

OBJECTIVE: This systematic review aims to evaluate optimal early screening strategies, significant r...

Artificial Intelligence and Musculoskeletal Surgical Applications.

Artificial intelligence (AI) has emerged as a transformative force in orthopedic surgery. Potentiall...

FDG-PET as a pre-operative biomarker for predicting and optimizing response to subcallosal cingulate area deep brain stimulation.

BACKGROUND: Deep brain stimulation targeting the subcallosal cingulate area (SCC-DBS) has emerged as...

Optimization of an artificial neural network for predicting stress in robot-assisted laparoscopic surgery based on EDA sensor data.

PURPOSE: This study aims to optimize tunable hyperparameters of the multilayer perceptron (MLP) setu...

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