July 4, 2024

Artificial Intelligence in Perioperative Care: Opportunities and Challenges

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

Artificial intelligence applications have great potential to enhance perioperative care. This article explores promising areas for artificial intelligence in anesthesiology; expertise, stakeholders, and infrastructure for development; and barriers and challenges to implementation.

Me gusta

Guardar

Cite This Study

Han et al. (Thu,) studied this question.

synapsesocial.com/papers/68e615d4b6db6435875a82d5 https://doi.org/https://doi.org/10.1097/aln.0000000000005013

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Development and Evaluation of the Universal ACS NSQIP Surgical Risk Calculator: A Decision Aid and Informed Consent Tool for Patients and Surgeons2013 · 1,871 citations
2Advances in anesthesia education: increasing access and collaboration in medical education, from E-learning to telesimulation2020 · 22 citations
3Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model2022 · 126 citations
4Machine Learning and Pharmacometrics for Prediction of Pharmacokinetic Data: Differences, Similarities and Challenges Illustrated with Rifampicin2022 · 88 citations
5Feasibility of automated titration of vasopressor infusions using a novel closed-loop controller2017 · 54 citations

Me gusta

Guardar