ArticleTherapeutic advances in pulmonary and critical care medicine
Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care.
Article in Therapeutic advances in pulmonary and critical care medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Artificial intelligence in emergency mechanical ventilation: a prospective observational comparison with emergency physician ventilator settings.BMC emergency medicine · 2026Observational
- Review
- Artificial intelligence in ARDS: From automated support to personalized ventilation.Journal of intensive medicine · 2026Article
- Strategies for a Rational Use of Opioids in Critical Care Settings.Journal of clinical medicine · 2026Review
- From Data to Decisions: Harnessing Multi-Agent Systems for Safer, Smarter, and More Personalized Perioperative Care.Journal of personalized medicine · 2025Review
- Ventilator-Associated Lung Injury: Pathophysiology, Prevention, and Emerging Therapeutic Strategies.International journal of molecular sciences · 2025Review
- Review
- An Updated Review on the Use of Noninvasive Respiratory Supports in the Management of Severe Asthma Exacerbations.Medicina (Kaunas, Lithuania) · 2025Review
- Artificial Intelligence in the Management of Patients with Respiratory Failure Requiring Mechanical Ventilation: A Scoping Review.Journal of clinical medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the large volume of data coming from implemented technologies and monitoring systems, intensive care units (ICUs) represent a key area for artificial intelligence (AI) application. Despite the last decade has been marked by studies focused on the use of AI in medicine, its application in mechanical ventilation management is still limited. Optimizing mechanical ventilation is a complex and high-stake intervention, which requires a deep understanding of respiratory pathophysiology. Therefore, this complex task might be supported by AI and machine learning. Most of the studies already published involve the use of AI to predict outcomes for mechanically ventilated patients, including the need for intubation, the respiratory complications, and the weaning readiness and success. In conclusion, the application of AI for the management of mechanical ventilation is still at an early stage and requires a cautious and much less enthusiastic approach. Future research should be focused on AI progressive introduction in the everyday management of mechanically ventilated patients, with the aim to explore the great potentiality of this tool.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.