Anesthesiology

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...

Simulator development using natural language: clinician-led innovation through artificial intelligence.

BACKGROUND: Healthcare simulation training faces significant barriers due to the "clinician-develope...

Machine Learning Prediction of Postoperative Mortality in Older Emergency Surgery Patients.

INTRODUCTION: The older adult population account for 35% of emergency general surgery (EGS) admissio...

Explainable Machine-Learning Model for Predicting Severe Obstructive Sleep Apnea in Patients Undergoing Metabolic Bariatric Surgery.

BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperat...

State of Medical Education Research in Anesthesiology: Current Landscape and Future Directions-An Initiative of the Anesthesia Research Council.

BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, ...

State of Medical Education Research in Anesthesiology: Current Landscape and Future Directions-An Initiative of the Anesthesia Research Council.

BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, ...

Association Between the Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Perioperative Mortality Risk in Myasthenia Gravis Patients with Sepsis: A Retrospective Cohort Study.

BackgroundThis study aims to explore the association between the Hemoglobin/Red Cell Distribution Wi...

Artificial Intelligence for Predicting Perioperative Outcomes in Cardiac Surgery: A Systematic Review.

OBJECTIVE: Cardiac surgery carries a significant risk of complications and mortality. Artificial int...

Multimodal Machine Learning Model Predicting Postoperative Delirium Based on Heart Rate Variability: A Prospective Observational Study.

BACKGROUND: Postoperative delirium is a common and serious complication after general anesthesia; it...

Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of th...

Artificial intelligence with mucosal exposure devices versus artificial intelligence alone in detection of colorectal adenomas: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Both artificial intelligence (AI) and mucosal exposure devices (MEDs) have been...

Prediction of spinal cord injury after thoracoabdominal aortic repair by machine learning method.

BACKGROUND: Spinal cord injury (SCI) is a severe complication after thoracoabdominal aortic repair (...

Perioperative corticosteroids and pancreatic surgery outcomes: a systematic review and meta-analysis combining human expertise and AI support (ChatGPT).

Pancreatic surgery is associated with high postoperative morbidity. The role of corticosteroids (CCS...

Forecasting Excessive Anesthesia Depth Using EEG α-Spindle Dynamics and Machine Learning.

Accurately predicting transitions to anesthetic drugs overdosage is a critical challenge in general ...

AI-Assisted Clinical Data Abstraction From Electronic Health Records: Retrospective Concordance Study.

BACKGROUND: Manual chart abstraction from electronic health records is a critical step in clinical o...

From single targets to circuits diversified discovery and development strategies towards new paradigms for non-opioid analgesics.

The long-term use of opioids for analgesia is associated with serious adverse effects such as addict...

A predictive tool incorporating frailty scores for perioperative risk assessment in patients with spinal metastasis: a national retrospective cohort study.

BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due ...

Head and Neck Free Flap Reconstruction: Current Landscape and Emerging Technologies.

OBJECTIVE: To synthesize contemporary developments in head and neck oncologic free flap reconstructi...

Reply to "Comments on: 'Pre-anesthesia pleth variability index and perfusion index for predicting post-induction hypotension in elderly surgical patients: a cohort study'".

Pupil-DLC: an open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.

BACKGROUND: Pupil diameter is a non-invasive biomarker of brain state, correlating with arousal, att...

Perioperative prediction of adnexal malignancy by an interpretable machine learning model for guiding ovarian preservation in premenopausal endometrial cancer.

BACKGROUND: Ovarian preservation in premenopausal patients with endometrial cancer remains challengi...