Anesthesiology

The Year in Perioperative Echocardiography:Selected Highlights From 2025.

This article is the 10th of an annual series reviewing the research highlights of the year pertaining to the subspecialty of perioperative echocardiography for the Journal of Cardiothoracic and Vascular Anesthesia. The authors thank the editor-in-chief, Dr. Kaplan, and the editorial board for the opportunity to continue this series. In most cases, these will be research articles that are targeted ...

Natural Language Processing for Surgical Quality Enhancement.

INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain critical surgical information that is often absent from structured electronic health record fields. Manual abstraction is time-consuming at scale. Natural language processing (NLP) enables automated extraction of clinically meaningful information to support data-driven perioperative care. METHODS: We ...

Outcomes of perioperative intra-aortic balloon pump support in patients undergoing aortic valve surgery: A single-centre, retrospective, observational study.

BACKGROUND: Patients undergoing aortic-valve surgery are prone to perioperative low-cardiac-output syndrome or progression to cardiogenic shock, which...

Decoding perioperative anesthesia-associated signature in Kawasaki disease patients with deep vein thrombosis; evidence from machine-learning driven multi-omics.

UNLABELLED: Inappropriate perioperative anesthesia (PA) drug management may lead to the detrimental clinical outcomes of Kawasaki disease (KD) patient...

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...

Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.

BACKGROUND AND OBJECTIVE: Accurate prediction of mortality risk after cardiac surgery is crucial for perioperative management. The laboratory-based fr...

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Papaveraceae), includes two source species: Hypecoum ...

Classification and stratification of patient pain archetypes following total knee arthroplasty: a machine learning approach.

BACKGROUND: Up to 20% of total knee arthroplasty (TKA) patients experience significant postoperative pain that delays recovery and increases risk of c...

[Comparative observation of analgesic efficacy between liposomal bupivacaine and "cocktail" therapy following artificial intelligence-assisted direct anterior approach total hip arthroplasty: A prospective randomized controlled study].

OBJECTIVE: To compare the analgesic efficacy and safety of liposomal bupivacaine (LB) versus ropivacaine for surgical incision local anesthesia after ...

Automated Identification of Cardiopulmonary Disease Cases for Preoperative Risk Stratification Using Machine Learning: A Retrospective Analysis.

BACKGROUND: Preoperative chart review is time-consuming and prone to errors, particularly for cardiopulmonary conditions that impact anesthetic planni...

Risk prediction in spine surgery: a scoping review of traditional models, artificial intelligence, and the challenge of clinical translation.

BACKGROUND: Accurate perioperative risk stratification is essential to patient safety and informed consent in spine surgery. Traditional regression-ba...

Development and validation of a precision treatment rules for first-line antipsychotic recommendations in first episode psychosis jointly incorporating effectiveness, side effects and patient preferences.

Selecting first-line antipsychotic medication for first episode of psychosis patients is a very challenging task requiring the clinicians to empirical...

The impact of regional block presence on large language model-based postoperative analgesia recommendations in abdominal surgery: a comparative study using real-world patient data.

BACKGROUND: Postoperative pain management is a core component of anesthesiology practice, with regional anesthesia playing a key role in multimodal an...

Thrombosis after surgical splenectomy - why, in whom and can we prevent it?

Splenectomy remains a common operation performed in the setting of trauma, haematological disease, malignancy and diagnostic purposes. Contemporary ev...

An Emerging Role of Artificial Intelligence in Pediatric Neuroanesthesia.

Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characterized by age-dependent physiological variability, het...

Magnetically controlled capsule endoscopy: Innovations, standardized practice, and emerging clinical roles.

Capsule endoscopy has transformed small bowel evaluation but remains limited for gastric examination because of passive, peristalsis dependent movemen...

Intraoperative Transesophageal Echocardiography in Cardiac Surgery: Clinical Applications, Decision-Making, and Impact on Outcomes.

Intraoperative transesophageal echocardiography (TEE) has become a central component of modern cardiac surgery by providing real-time, high-resolution...

Transcranial Doppler ultrasonography in geriatric anesthesia: moving toward personalized brain protection strategies.

The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the aging brain from perioperative complications such...

Integrated Strategies for Nursing and Rehabilitation in Lung Cancer Patients.

This review delineates the pivotal role of nursing and rehabilitation in perioperative management and chemotherapy support for lung cancer patients, w...

Generative Artificial Intelligence in Anesthesiology: Current Evidence, Clinical Applications, and the Emerging Role of Small Models.