Anesthesiology

Latest AI and machine learning research in anesthesiology for healthcare professionals.

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The applications of ChatGPT and other large language models in anesthesiology and critical care: a systematic review.

PURPOSE: ChatGPT and other large language models (LLMs) have gained immense popularity since their c...

Forecasting anesthetic depth using an auto-regressive transformer in propofol infusion during the induction phase.

PURPOSE: Forecasting the depth of anesthesia (DOA) is significant for adjusting the dosage of propof...

Psychedelics, entactogens and psychoplastogens for depression and related disorders.

Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PT...

Artificial intelligence in perioperative medicine education: A feasibility test of case-based learning.

UNLABELLED: The use of artificial intelligence in medicine is rapidly expanding. Large language mode...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

Molecular insights into the unique activation and allosteric modulation mechanisms of the human mas-related G-protein-coupled receptor X1.

MRGPRX1 plays dual roles in mediating nociception and pruritus, making it a promising target for all...

A segmentation network based on CNNs for identifying laryngeal structures in video laryngoscope images.

Video laryngoscopes have become increasingly vital in tracheal intubation, providing clear imaging t...

The analgesic mechanism of electroacupuncture at the central level for neuropathic pain: a review of studies based on animal experiments.

This article analyzes the progress of animal experiments on the analgesic mechanism of electroacupun...

[Current status and trends of perioperative immunotherapy for gastric cancer].

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...

Clinical significance of computer-aided quality assessment systems in colonoscopy: a comprehensive review.

Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial...

Assessing ChatGPT responses to patient questions on epidural steroid injections: A comparative study of general vs specific queries.

BACKGROUND: Artificial intelligence (AI) is becoming more integrated into healthcare, with large lan...

The Year in Graduate Medical Education: Selected Highlights from 2024.

This special article is the fourth in an annual series for the Journal of Cardiothoracic and Vascula...

Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.

Hypoxemia is a common complication associated with anesthesia in painless gastroscopy. With the agin...

Beyond episodic early warning systems: a continuous clinical alert system for early detection of in-hospital deterioration.

Efficient patient monitoring on the medical-surgical wards is crucial to prevent significant in-hosp...

The utility of generative artificial intelligence Chatbot (ChatGPT) in generating teaching and learning material for anesthesiology residents.

The popularization of large language chatbots such as ChatGPT has led to growing utility in various ...

Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models.

PURPOSE: With the aging population, the demand for total hip arthroplasty (THA) and total knee arthr...

Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants.

Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not val...

Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study.

BACKGROUND: Children commonly experience high levels of anxiety prior to surgery. This distress is a...

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