Surgery

The Clinical outcomes following pencil beam scanning proton therapy for skull base chordoma and chondrosarcoma: a single-institution experience.

BACKGROUND: Chordomas and chondrosarcomas of the skull base are rare, locally aggressive tumors that...

Development and validation of an artificial intelligence-powered 3D digital twin for teaching and assessing retraction for laparoscopic cholecystectomy.

BACKGROUND: Developing professional expertise warrants deliberate practice, where skills are develop...

Artificial intelligence in knee osteotomy: evolution of alignment assessment and surgical decision-making.

Knee osteotomy remains a fundamental joint-preserving intervention for unicompartmental osteoarthrit...

Surgical outcomes and risk factors identification for rhegmatogenous retinal detachment repair by pneumatic retinopexy using pure air.

OBJECTIVE: This study aimed to evaluate the clinical outcomes and identify risk factors for failure ...

Standard-of-care vs. machine learning-recommended discharge destinations for geriatric surgical inpatients: algorithm development and internal validation.

PURPOSE: Older adults undergoing surgery are at high risk for adverse outcomes due to age-related vu...

Prediction of Postoperative Vomiting Within 24 Hours Using Machine Learning With Large Language Model-Enhanced Interpretability: Development and Validation Study.

BACKGROUND: Postoperative nausea and vomiting are common complications after anesthesia. However, vo...

Artificial intelligence in medicine: a clinician-oriented guide and operational framework to evaluate new AI devices.

BACKGROUND: Artificial Intelligence (AI) is rapidly transitioning from experimental research to dail...

Incomplete Reporting Persists in Orthopedic Machine Learning Models: A Systematic Review of TRIPOD and TRIPOD+AI Reporting Completeness.

BACKGROUND AND OBJECTIVE: Machine learning (ML) prognostic models in orthopedic surgery are publishe...

Exploring patient and NHS staff acceptability of artificial intelligence-supported surgical wound monitoring within the WISDOM feasibility study: a multi-centre qualitative interview study.

OBJECTIVE: Artificial intelligence (AI) is beginning to be used within digital surgical wound monito...

Preoperative electrocardiography for predicting cardiovascular events after noncardiac surgery: a secondary analysis of two prospective cohorts.

BACKGROUND: The predictive value of preoperative resting ECGs for cardiovascular events after noncar...

A bibliometric analysis of research evolution on peritoneal metastasis in colorectal cancer (2000-2026): advances in molecular mechanisms and therapeutic strategies.

BACKGROUND: Peritoneal metastasis from colorectal cancer (pmCRC) is a major form of distant spread a...

Development and external validation of a machine learning model for predicting postoperative hydrocephalus in 1,073 posterior fossa tumor patients.

Postoperative hydrocephalus is a common complication following posterior fossa tumor resection, affe...

Era-specific prognostic factors and an interpretable machine-learning survival model for renal cell carcinoma brain metastases.

BACKGROUND: Brain metastases (BM) in renal cell carcinoma (RCC) are associated with poor prognosis a...

Large language models as sources of patient information on robotic knee arthroplasty: a comparative evaluation.

BACKGROUND: Robotic-assisted total knee arthroplasty (rTKA) is increasingly used because of its surg...

[Research and application of artificial intelligence in tooth extraction].

Tooth extraction is a common procedure in oral clinical practice. However, imaging interpretation, r...

Large Language Models Improve Operative Note Coding Accuracy and Financial Outcomes in Neurotology.

OBJECTIVE: To compare coding accuracy and financial impact between an institution's large language m...

Causal treatment effects of gait-analysis-informed surgery on the Gait Outcomes Assessment List in children with cerebral palsy.

AIM: To estimate the effect of surgery on parent-reported gait outcomes as measured using the Gait O...

Prediction of postoperative acute kidney injury in patients undergoing off-pump coronary artery bypass grafting: A machine learning model.

BACKGROUND: The incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) is 26.0%-28.5%...

Intracranial pressure physiology, monitoring and individualized management in the acute brain injured patient.

Acute brain injury (ABI), including traumatic brain injury, ischemic and hemorrhagic stroke, is asso...

Artificial Intelligence-Driven Video-Based Surgical Skill Assessment in Hepatobiliary Laparoscopic Surgery.

The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies.

Artificial intelligence (AI) is increasingly applied in clinical practice to enhance prediction of p...