Anesthesiology

Multimodal Deep Learning for ARDS Detection

Poor outcomes in acute respiratory distress syndrome (ARDS) can be alleviated with tools that suppor...

Risk Prediction Modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: Leveraging Machine Learning

Pre-procedural risk prediction of 30-day all-cause mortality after percutaneous coronary interventio...

Incidence, Outcomes and Risk Factors of Cardiac Arrest Among Surgical Patients in the UK Biobank: A Population-Based Cohort Study

Perioperative cardiac arrest (CA) is a devastating surgical complication, yet its epidemiology and r...

Clinical trials in depression: Integrated collection across EU and US registries

Depression affects millions worldwide with both pharmacological and psychological therapies widely a...

Enhancing Anterior Quadratus Lumborum Block Accuracy with Artificial Intelligence: A Segmentation Approach Evaluated by Dice Score Metrics

Anterior quadratus lumborum (QL) block is a regional anesthesia technique shown to provide both soma...

Arachnoiditis: Leveraging crowdsourcing and AI in a cross-sectional study of 1,105 cases to improve identification, understanding, and treatment

Arachnoiditis, a painful and potentially disabling neurological condition, results from persistent i...

Comparison of Time- and Frequency-Domain Methods for Assessing Brain Compliance in Brain-Injured Patients Monitored With Intraparenchymal Intracranial Pressure Sensors

Intracranial pressure (ICP) monitoring is commonly used in neuro-intensive care, but its utility may...

Physician gestalt compared with AI model to predict intubation in critically ill patients

Intubation and mechanical ventilation are associated with high mortality. Accurately predicting whic...

Cross-Continental Transfer of Perioperative Mortality Prediction: Intraoperative Features Generalize Where Preoperative Features Fail

Machine learning models for perioperative mortality prediction show strong internal discrimination, ...

Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis—diagnosis, severity assessment and evidence-based clinical decision support

Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existi...

Evaluation of SSI risk prediction model after spinal surgery: A systematic review and critical appraisal

This study aimed to systematically review and critically evaluate the risk of bias and applicability...

Machine learning augmented genome-wide meta-analysis of prescription opioid use in 860,000 individuals

Opioid analgesics are widely prescribed for pain, yet individuals vary markedly in their patterns of...

Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.

OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support system...

[From AI to polygenic risk scores: which innovations will shape the future of psychiatry?].

BACKGROUND: In recent years, developments have been made in various research domains, from treatment...

Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI

Resting-state fMRI captures spontaneous neural activity characterized by complex spatiotemporal dy...

[Effect of an artificial intelligence-assisted recognition system on colonoscopy quality].

To explore the value of the artificial intelligence (AI)-assisted recognition system in the detecti...

Machine Learning with Clinical and Intraoperative Biosignal Data for Predicting Cardiac Surgery-Associated Acute Kidney Injury.

Early identification of patients at high risk of cardiac surgery-associated acute kidney injury (CSA...

Effect of artificial intelligence implementation to the latest generation 4K colonoscopy.

<b>Indroduction:</b> Colonoscopy is an acclaimed screening test to detect colorectal can...

Artificial Intelligence in Perioperative Care: Opportunities and Challenges.

Artificial intelligence (AI) applications have great potential to enhance perioperative care. This p...

Artificial Intelligence in Anesthesiology: Field of Dreams or Fire Swamp? Preemptive Strategies for Optimizing Our Inevitable Future.

Shifts in Brain Dynamics and Drivers of Consciousness State Transitions

Understanding the neural mechanisms underlying the transitions between different states of conscio...