References

A risk prediction model (CMC-AKIX) for postoperative acute kidney injury using machine learning: algorithm development and validation

10.2196/62853 · 2025 · External reference

Machine learning-augmented interventions in perioperative medicine: a systematic review and meta-analysis

10.1016/j.bja.2024.07.027 · 2024 · External reference

Roadmap for artificial intelligence in pain medicine

10.1097/aco.0000000000001479 · 2025 · External reference

Machine learning and preoperative risk prediction: the machines are coming

10.1016/j.bja.2024.07.015 · 2024 · External reference

Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management

10.1186/s12911-025-02930-y · 2025 · External reference

Development of a prediction model for hypotension after induction of anesthesia using machine learning

10.1371/journal.pone.0231172 · 2020 · External reference

Developing a machine learning-based prediction model for postinduction hypotension

10.1007/s10877-025-01295-x · 2025 · External reference

Predictive ability of hypotension prediction index and machine learning methods in intraoperative hypotension: a systematic review and meta-analysis

10.1186/s12967-024-05481-4 · 2024 · External reference

Utilising intraoperative respiratory dynamic features for developing and validating an explainable machine learning model for postoperative pulmonary complications

10.1016/j.bja.2024.02.025 · 2024 · External reference

Development and multicenter validation of a machine learning model for postoperative pulmonary complications after neurosurgery

10.1097/cm9.0000000000003447 · 2025 · External reference

Machine learning-based prediction models for postoperative delirium: a systematic review and meta-analysis

10.1186/s12888-025-07401-2 · 2025 · External reference

Development of a disease model for postoperative delirium prediction with biomarkers and SHAP analysis

10.1002/acn3.70029 · 2025 · External reference

Stress Hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery

10.1186/s12933-025-02644-5 · 2025 · External reference

Artificial intelligence for difficult airway prediction: a systematic review and meta-analysis

10.1016/j.accpm.2025.101589 · 2025 · External reference

Future of artificial intelligence for difficult airway management

10.1213/ane.0000000000006789 · 2025 · External reference

Artificial intelligence in airway management: a narrative review

10.1016/j.bja.2025.12.052 · 2026 · External reference

Development of a bispectral index score prediction model based on an interpretable deep learning algorithm

10.1016/j.artmed.2023.102569 · 2023 · External reference

Supervised explainable machine learning for post-liver transplant pulmonary complications

10.2196/55046 · 2025 · External reference

Artificial intelligence in peri-operative prediction model research: are we there yet?

10.1111/anae.16315 · 2024 · External reference

Anesthesia depth prediction from drug infusion history using hybrid AI

10.1186/s12911-025-02986-w · 2025 · External reference

Accurate machine learning-based EEG depth monitoring for anesthesia

10.1007/s12264-024-01345-6 · 2025 · External reference

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

10.1007/s10877-025-01301-2 · 2025 · External reference

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

10.1136/bmj-2023-078378 · 2024 · External reference

Predicting agitation-sedation levels in intensive care unit patients: development of an ensemble model

10.2196/63601 · 2025 · External reference

The prognostic value of intraoperative HRV during Anesthesia in patients presenting for non-cardiac surgery

10.1186/s12871-023-02118-9 · 2023 · External reference

Comparative analysis of explainable machine learning prediction models for hospital mortality

10.1186/s12874-022-01540-w · 2022 · External reference

Development and validation of a risk prediction model for postoperative pulmonary complications in 44,740 patients

10.1038/s41598-025-20584-8 · 2025 · External reference

Reshaping anesthesia with artificial intelligence

10.1016/j.accpm.2025.101567 · 2025 · External reference

"Why should I trust you?": explaining the predictions of any classifier

10.1145/2939672.2939778 · 2016 · External reference

Attention is not explanation

10.18653/v1/n19-1357 · 2019 · External reference

Driving pressure and survival in the acute respiratory distress syndrome

10.1056/nejmsa1410639 · 2015 · External reference

Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia

10.1111/anae.16733 · 2025 · External reference

Evaluation of AI-based nerve segmentation on ultrasound: relevance of standard metrics in the clinical setting

10.1016/j.bja.2024.12.040 · 2025 · External reference

Artificial intelligence-based nerve segmentation: standardised methodology needed for ultrasound-guided regional anaesthesia

10.1016/j.bja.2025.05.052 · 2025 · External reference

The intelligent needle: the role of artificial intelligence in ultrasound-guided regional anesthesia

10.1016/j.jopan.2025.10.003 · 2026 · External reference

Explainable machine learning for prediction of early postoperative nausea and vomiting after general anesthesia

10.2147/jmdh.s572550 · 2026 · External reference

A systematic literature review of precision anesthesia through machine learning: automated drug titration and real-time physiologic optimization

10.7759/cureus.97747 · 2025 · External reference

Artificial intelligence for regional anesthesia and pain management

10.1016/j.anclin.2025.02.003 · 2025 · External reference

A unified approach to interpreting model predictions

10.5555/3295222.3295230 · 2017 · External reference