Anesthesiology

Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization.

We conducted a systematic review of literature to better understand the role of new technologies in ...

Representation learning in intraoperative vital signs for heart failure risk prediction.

BACKGROUND: The probability of heart failure during the perioperative period is 2% on average and it...

Comparison of the oncological, perioperative and functional outcomes of partial nephrectomy versus radical nephrectomy for clinical T1b renal cell carcinoma: A systematic review and meta-analysis of retrospective studies.

OBJECTIVE: To conduct a meta-analysis assessing the perioperative, functional and oncological outcom...

Re: Perioperative Outcomes and Complications after Robotic Radical Cystectomy with Intracorporeal or Extracorporeal Ileal Conduit Urinary Diversion: Head-to-Head Comparison from a Single-Institutional Prospective Study.

A fluoroscopic assessment of brachial plexus block by the supraclavicular approach: Have we been overmedicating?

BACKGROUND: Ultrasonography-guided supraclavicular brachial plexus block has demonstrated safety as ...

Comparison of bupivacaine alone and in a combination with lidocaine for caudal block in patients undergoing circumcision: A historical cohort study.

OBJECTIVE: Optimal analgesia following ambulatory surgery is an important matter in patient satisfac...

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...

Efficacy of Dexmedetomidine as an Adjuvant to Bupivacaine in Ultrasound-Guided Transverse Abdominis plane Block for Laparoscopic appendicectomy: A Randomised Controlled Study.

OBJECTIVE: Dexmedetomidine is an alpha 2-adrenergic agonist that prolongs analgesia as an adjuvant w...

Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.

Determining the level of consciousness in patients with disorders of consciousness (DOC) remains cha...

Effect of dexmedetomidine sedation on swallowing reflex: A pilot study.

BACKGROUND/PURPOSE: Swallowing reflex depression during dental treatment or oral surgery may cause w...

Physicochemical stability of an admixture of lidocaine and ketamine in polypropylene syringe used in opioid-free anaesthesia.

OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of d...

Randomised Comparison between the Efficacy of Two Doses of Nebulised Dexmedetomidine for Premedication in Paediatric Patients.

OBJECTIVE: Nebulised dexmedetomidine can be an easy alternative for preoperative sedation in paediat...

An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.

BACKGROUND: Rapid, preoperative identification of patients with the highest risk for medical complic...

Outpatient Anesthesia Facilitates Stereotactic Body Radiation Therapy for Early Stage Lung Cancer Patients With Advanced Cognitive Impairments.

PURPOSE: To report on the use of outpatient anesthesia (OPA) facilitating delivery of stereotactic b...

Palonosetron Pretreatment is not as Effective as Lignocaine for Attenuation of Pain on Injection of Propofol.

OBJECTIVE: 5-HT3 receptor antagonists are known to possess local anesthetic properties and are commo...

Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...

Reply to Franco Gaboardi, Guglielmo Mantica, and Nazareno Suardi's Letter to the Editor re: Giuseppe Simone, Umberto Anceschi, Gabriele Tuderti, et al. Robot-assisted Partial Adrenalectomy for the Treatment of Conn's Syndrome: Surgical Technique, and Perioperative and Functional Outcomes. Eur Urol 2019;75:811-6.

Machine learning based prediction of perioperative blood loss in orthognathic surgery.

The aim of this study was to evaluate, if and with what accuracy perioperative blood loss can be cal...

Perioperative intelligence: applications of artificial intelligence in perioperative medicine.

Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.

Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption ...

The future of endoscopy: Advances in endoscopic image innovations.

The latest state of the art technological innovations have led to a palpable progression in endoscop...