Surgery

OncoE25: an AI model for predicting postoperative prognosis in early-onset stage I-III colon and rectal cancer-a population-based study using SEER with dual-center cohort validation.

BACKGROUND: Although CRC incidence is declining overall, early-onset colorectal cancers are increasi...

Game-based learning in orthopaedics: A comprehensive review.

Game-based learning (GBL) has emerged as a transformative approach in medical education. It has a us...

Adolescent lumbar disc herniation: etiology, diagnosis, and treatment options.

Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult...

Artificial intelligence-based marks detection and incision guide line prediction model in esophageal endoscopic submucosal dissection: a multicenter study (with video).

BACKGROUND: Endoscopic submucosal dissection (ESD) was an important minimally invasive procedure for...

Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study.

Even though non-invasive prediction of endometriosis may seem technically feasible using sophisticat...

Memristive floating-point Fourier neural operator network for efficient scientific modeling.

Emerging artificial intelligence for science (AI-for-Science) algorithms, such as the Fourier neural...

Commentary on "radiomics and machine learning model for predicting overall survival in IDH wild-type glioblastoma after gross total resection: a multicenter study".

Real-time AI-based detection of excessive traction on the recurrent laryngeal nerve during robotic-assisted minimally invasive esophagectomy: a proof-of-concept study.

Recurrent laryngeal nerve (RLN) palsy often occurs due to excessive traction (ET) on the nerve durin...

The rise of robotics and AI-assisted surgery in modern healthcare.

The integration of robotics and artificial intelligence (AI) in surgery represents a transformative ...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

Preoperative prediction of severe short-term complications in patients with bladder cancer undergoing radical cystectomy.

BACKGROUND AND OBJECTIVE: Radical cystectomy (RC) is associated with a high risk of postoperative co...

Liquid white box model as an explainable AI for surgery.

Understanding surgical data in real-time will lead to improved feedback, learning, and performance f...

Development of a Machine Learning-Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study.

BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive ca...

Large Language Model-Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation.

BACKGROUND: Surgical consent forms convey critical information; yet, their complex language can limi...

A Full-Range Proximity-Tactile Sensor Based on Multimodal Perception Fusion for Minimally Invasive Surgical Robots.

Minimally invasive surgical robots have received widespread attention due to its numerous advantages...

Super-resolution for localizing electrode grids as small, deformable objects during epilepsy surgery using augmented reality headsets.

PURPOSE: Epilepsy surgery is a potential curative treatment for people with focal epilepsy. Intraope...

WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis.

OBJECTIVE: Endometriosis is a prevalent gynecological disease characterized by the ectopic growth of...

Digital transformation with the Hoobox OR© system: Optimising efficiency in the surgical theatre of a Brazilian hospital.

INTRODUCTION: The Hoobox OR© system is a digital automation platform designed to optimise communicat...

Prediction of Sepsis after Endourologic Kidney Stone Surgery: A Machine Learning Approach.

Sepsis secondary to urinary tract infection after kidney stone surgery is associated with considera...

Large-scale observational study of AI-based patient and surgical material verification system in ophthalmology: real-world evaluation in 37 529 cases.

BACKGROUND: Surgical errors in ophthalmology can have devastating consequences. We developed an arti...

Deep learning for differential diagnosis of parotid tumors based on 2.5D magnetic resonance imaging.

PURPOSE: Accurate preoperative diagnosis of parotid gland tumors (PGTs) is crucial for surgical plan...