Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: As unshaven hair transplantation grows in popularity, terminology has become inconsistent across publications and advertising. This creates confusion for patients and clinicians and undermines informed consent. OBJECTIVE: To map usage, identify confusion sources, and propose definitions for the spectrum of "Unshaven" follicular unit excision (FUE) approaches. METHODS: The authors perfo...
BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of elective aortobifemoral artery bypass for aortoiliac arterial occlusive disease based on variables at the time of preoperative clinical presentation utilizing 5,912 patients in the Vascular Quality Initiative (VQI). METHODS: Multivariable Cox regression time-dependent analysis was performed for the out...
BACKGROUND: Postoperative atrial fibrillation (POAF) is a common complication following coronary artery bypass grafting (CABG) and is associated with ...
OBJECTIVE: Postoperative delirium (POD) is a common and severe complication following heart valve replacement (HVR) with cardiopulmonary bypass (CPB),...
INTRODUCTION: Accurate preoperative imaging is essential for improving the treatment of small lung cancers. Precise identification of non-invasive ade...
PURPOSE: To evaluate and compare the responses of ChatGPT and Google Gemini to common patient questions about scaphoid fracture and scaphoid nonunion,...
OBJECTIVE: To develop educational artificial intelligence (AI)-generated videos for patients undergoing strabismus surgery and assess patient percepti...
This systematic review and meta-analysis examines the design of studies comparing the performance of artificial intelligence (AI) with that of healthc...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication linked to adverse outcomes, highlighting the need for new diagnosti...
PURPOSE: This study conducts a comprehensive bibliometric analysis regarding the application of ultrasound biomicroscopy in glaucoma research over the...
Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), is a significant complication in surgical patients. Ar...
This study aimed to develop and externally validate machine learning (ML)-based models to characterize surgical classification patterns between hyster...
The aim of the study was to evaluate the concordance between radiological imaging modalities and pathological findings and to test whether neoadjuvant...
To develop and evaluate machine learning (ML) models that infer preoperative cognitive function from intraoperative electroencephalography (EEG). This...
AIM: This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically ...
Artificial intelligence has made significant strides in predicting major adverse cardiovascular events (MACE) in patients with acute myocardial infarc...
To evaluate the feasibility and application value of a transfer learning-based artificial intelligence (AI) system for wound recognition and suture po...
Percutaneous nephrostomy is widely used in kidney access surgeries. Despite its prevalence in urological interventions, it presents two operational ch...
BACKGROUND: Moments of intraoperative struggling, termed as surgical struggle, are common yet variably labeled and poorly defined. Existing literature...
BACKGROUND: Laparoscopic Cholecystectomy (LC) is the standard surgical treatment for symptomatic benign gallbladder diseases. Bile Duct Injury (BDI) i...