Anesthesiology

Machine learning-based prediction of postoperative nausea and vomiting after spinal anesthesia: A retrospective observational study.

Postoperative nausea and vomiting (PONV) is a frequent and serious complication after surgery. PONV also reduces patient satisfaction with surgery under spinal anesthesia and increases medical costs due to prolonged hospitalization. The purpose of this study is to apply artificial intelligence (AI) machine learning analysis to identify risk factors for PONV in patients undergoing surgery with spin...

Nonoperating room anesthesia in the ICU: current practice and considerations.

PURPOSE OF REVIEW: ICU procedures are increasingly complex, often requiring deeper sedation or general anesthesia, and are increasingly performed at the bedside to avoid transport risk. This trend has expanded the role of anesthesiologists in ICU nonoperating room anesthesia (NORA). This review summarizes practical anesthetic considerations for these procedures, focusing on optimization, monitorin...

Explainable Machine Learning for Perioperative Risk Stratification of Radiographic Adjacent Segment Degeneration After Short-Segment Lumbar Fusion.

STUDY DESIGN: Retrospective Cohort Study. OBJECTIVES: To develop and externally validate an explainable machine-learning framework for perioperative r...

Personalized Prediction of Acute and Chronic Postsurgical Pain - the role of Multidomain Biosignatures, Machine Learning-Based Integration, and Standardized Outcome Definitions.

PURPOSE OF THE REVIEW: Acute postsurgical pain (APSP) and chronic postsurgical pain (CPSP) remain prevalent and insufficiently resolved challenges in ...

Machine learning-based prediction of Clavien-Dindo ≥ II complications after ureteroscopy.

PURPOSE: Clavien-Dindo (CD) grade II complications after ureteroscopy occur in approximately 13-17% of cases, typically involving infections or bleedi...

Exploratory Analysis of Factors Associated With Pressure Injuries in Surgical Patients Assessed With the ELPO Scale.

OBJECTIVE: The objective of this study is to analyse predictors associated with pressure injury occurrence and to explore the relationship between pre...

Multimodal Management of Pain in Oral Squamous Cell Carcinoma: A Mechanism-Based Approach.

PURPOSE OF REVIEW: Oral squamous cell carcinoma (OSCC) is frequently associated with severe nociceptive and neuropathic pain that adversely affects pa...

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, vomiting represents a clinically distinct and object...

Integrative multi-omics and machine learning identify CHRNA1 putative circadian-immune hub in COPD.

BACKGROUND: Circadian rhythm disruption is increasingly recognized as a contributor to chronic inflammatory disorders; however, its specific significa...

Performance of 5 Large Language Models in Perioperative Consultation for Pediatric Hypospadias: Cross-Sectional Comparative Study.

BACKGROUND: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large ...

Towards Explainability in Deep Learning for Detection of Five Major Intracranial Hemorrhage Subtypes on Head CT Using Multi-window DICOM Imaging and Patient-Level Cross-Validation.

Intracranial hemorrhage (ICH) is a time-critical neurologic emergency where delayed diagnosis can worsen outcomes. Non-contrast head CT is the first-l...

Thermal Heterogeneity After Deep Hypothermic Circulatory Arrest: A New Framework for Understanding Rewarming and Physiological Recovery.

Deep hypothermic circulatory arrest (DHCA) is widely used during complex aortic arch surgery to reduce metabolic demand and protect vital organs. Conv...

Machine Learning for Predicting Critical Postoperative Interventions: Proof-of-Concept Study Using the INSPIRE Dataset.

BACKGROUND: Postoperative complications contribute significantly to patient morbidity and mortality. Early prediction of such complications could enab...

Novel indicator for colonoscopy insertion difficulty and its application in predictive modelling: a multicentre prospective study protocol in China.

BACKGROUND: Colonoscopy is a cornerstone for the screening and diagnosis of colorectal diseases. Colonoscopy insertion difficulty is associated with e...

Transfer learning prediction of 2-year native liver survival in biliary atresia following Kasai portoenterostomy using early perioperative biochemical data up to 3 months postoperatively.

BACKGROUND: Biliary atresia (BA), a rare but life-threatening neonatal cholestatic disorder, necessitates Kasai portoenterostomy (KPE) as the primary ...

Machine learning-based prediction of perioperative complications in spine surgery: a large-scale model development and validation study.

BACKGROUND: Spinal surgery carries substantial perioperative risks. Early identification of high-risk patients is critical for improving outcomes. Mac...

Perioperative predictors of biochemical remission in acromegaly: a predictive modeling study.

PURPOSE: Biochemical remission after transsphenoidal resection for acromegaly remains challenging, and early prognostication is limited. This study ap...

Intracardiac Echocardiography-Guided Left Atrial Appendage Occlusion: A Comprehensive Narrative Review.

Intracardiac echocardiography (ICE) is an alternative to transesophageal echocardiography for imaging guidance during left atrial appendage occlusion ...

Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?

BackgroundAccurate triage of trauma patients by Emergency Medical Services (EMS) is essential for optimal outcomes and resource allocation. The 2021 N...

Dynamic Aware Biopsy Needle Identification in Ultrasound Images Using Temporal Prior Guided U-Net Cross Transformer With Limited Training Data.

OBJECTIVE: Ultrasound-guided needle placement has been commonly used for minimally invasive clinical procedures, including biopsy, regional anesthesia...