Latest AI and machine learning research in anesthesiology for healthcare professionals.
Machine learning models for perioperative mortality prediction show strong internal discrimination, yet external validation—particularly across continents—remains rare. Whether intraoperative vital sign features, which improve internal performance by 5–10%, transfer across populations is unknown. Furthermore, aggregate discrimination metrics may overstate clinical utility through Simpson’s paradox...
Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existing linear scoring systems lack sufficient accuracy for standalone use, while advanced imaging is constrained by risks of sedation, contrast, and radiation. Furthermore, no available tools provide prognostic guidance. We introduce Dharma, a machine learning framework consisting of a clinically ground...
This study aimed to systematically review and critically evaluate the risk of bias and applicability of surgical site infection (SSI) risk prediction ...
Opioid analgesics are widely prescribed for pain, yet individuals vary markedly in their patterns of medical opioid use, influencing the risk of prolo...
OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the pri...
BACKGROUND: In recent years, developments have been made in various research domains, from treatments with (es)ketamine to large-scale genome-wide ass...
Resting-state fMRI captures spontaneous neural activity characterized by complex spatiotemporal dynamics. Various metrics, such as local and global ...
To explore the value of the artificial intelligence (AI)-assisted recognition system in the detection quality of colonoscopy. From January 2023, the...
Early identification of patients at high risk of cardiac surgery-associated acute kidney injury (CSA-AKI) is crucial for its prevention. We aimed to l...
<b>Indroduction:</b> Colonoscopy is an acclaimed screening test to detect colorectal cancer (CRC). The most important quality indicators f...
Artificial intelligence (AI) applications have great potential to enhance perioperative care. This paper explores promising areas for AI in anesthesio...
Understanding the neural mechanisms underlying the transitions between different states of consciousness is a fundamental challenge in neuroscience....
Post-induction hypotension (PIH) occurs shortly after anesthesia induction and is related to several post-operative complications. Medications deliver...
Shoulder dislocations are the most common dislocations and there is a demand for a novel traction device for reducing anterior shoulder dislocations, ...
This study compares the effectiveness of the traditional minimum circle detection strategy, i.e. Welzl's algorithm, and the state-of-the-art nnU-Net i...
To describe a single institution's experience with single-port robotic adrenalectomy (SP-RA) and report perioperative outcomes. This is a retrospect...
In February 2021 Medtronic (Minneapolis, MN) launched the HUGO™ Robot-Assisted Surgery (RAS) System in the global market. The aim of the current stud...
Recent advances in neural networks have given rise to generative artificial intelligence, systems able to produce fluent responses to natural question...
Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing r...