Surgery

Machine learning prediction of early reoperation following lower extremity tumor resection and endoprosthetic reconstruction: A PARITY trial secondary analysis.

AI-Driven Integration of Deep Learning with Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction: Progress and Perspectives.

This Perspective article explores the transformative role of artificial intelligence (AI) in predict...

Letter to the editor regarding artificial intelligence in perioperative medicine education: A feasibility test of case-based learning.

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery afte...

Novel artificial intelligence algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty improves accuracy and surgical duration.

BACKGROUND: Robotic Total Knee Arthroplasty (rTKA) has become increasingly popular. Intraoperative m...

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistent...

Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?

The potential of deep learning to predict renal obstruction using kidney ultrasound images has been ...

Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for ...

Artificial intelligence and robotic surgery in clinical medicine: progress, challenges, and future directions.

Technological innovations in medicine are increasingly expected to replicate the diagnostic, decisio...

Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization.

The evolution of surgical techniques aims to augment surgeons' capabilities through digital guidance...

Novel risk factors and personalized risk calculator for predicting proximal junctional kyphosis after adult spinal deformity surgery.

AIMS: Proximal junctional kyphosis (PJK) is a prevalent and detrimental complication associated with...

Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis.

BACKGROUND: Intraoperative hypotension (IOH), defined as a mean arterial pressure (MAP) below 65 mmH...

Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model.

OBJECTIVE: This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNe...

Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment.

Mastering microsurgical skills is essential for neurosurgical trainees. Video-based analysis of targ...

AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.

Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due t...

Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study.

BACKGROUND: Surgical site infection (SSI) is the most prevalent type of health care-associated infec...

HL-HGAT: Heterogeneous Graph Attention Network via Hodge-Laplacian Operator.

Graph neural networks (GNNs) have proven effective in capturing relationships among nodes in a graph...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Artificial intelligence in hepatopancreatobiliary surgery for clinical outcome prediction: current perspective and future direction.

The expanding and evolving role of artificial intelligence (AI) in surgery has been enhanced by the ...

Large language models for extraction of OPS-codes from operative reports in meningioma surgery.

BACKGROUND: In the German medical billing system, surgical departments encode their procedures in OP...

Untangling surgical gesture analysis-are we even speaking the same language? a systematic review.

BACKGROUND: Surgeons' technical performance directly influences postoperative outcomes after surgery...