Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future
This article explores recent advancements in the role of artificial intelligence (AI) in enhancing mechanical ventilation (MV), accentuating its potential to mitigate risks such as ventilator-induced lung injury, ventilator-associated pneumonia and asynchronies. The integration of AI, including mach...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2025-07-01
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| Series: | Indian Journal of Anaesthesia |
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| Online Access: | https://journals.lww.com/10.4103/ija.ija_995_24 |
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| author | Neeraj Pal Singh Masood Ali Mujawar Akash Golani |
| author_facet | Neeraj Pal Singh Masood Ali Mujawar Akash Golani |
| author_sort | Neeraj Pal Singh |
| collection | DOAJ |
| description | This article explores recent advancements in the role of artificial intelligence (AI) in enhancing mechanical ventilation (MV), accentuating its potential to mitigate risks such as ventilator-induced lung injury, ventilator-associated pneumonia and asynchronies. The integration of AI, including machine learning, natural language processing and predictive analytics, into MV is reshaping the landscape of critical care, offering advanced solutions to enhance patient outcomes with real-time monitoring, personalised ventilation strategies, early detection of complications and also increased operational efficiency. Key practical issues surrounding the implementation of AI into existing clinical workflows, including data quality, data sharing and privacy, data standardisation, seamless integration with existing healthcare systems, transparency of algorithms, interoperability across multiple platforms, patient safety and addressing ethical concerns, remain. As we advance, a collaborative approach between AI and healthcare professionals will be essential to ensure optimal patient safety. |
| format | Article |
| id | doaj-art-73bb4ad986c2492ab76415dca67befae |
| institution | DOAJ |
| issn | 0019-5049 0976-2817 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Anaesthesia |
| spelling | doaj-art-73bb4ad986c2492ab76415dca67befae2025-08-20T02:43:24ZengWolters Kluwer Medknow PublicationsIndian Journal of Anaesthesia0019-50490976-28172025-07-0169772272810.4103/ija.ija_995_24Role of artificial intelligence in enhancing mechanical ventilation – A peek into the futureNeeraj Pal SinghMasood Ali MujawarAkash GolaniThis article explores recent advancements in the role of artificial intelligence (AI) in enhancing mechanical ventilation (MV), accentuating its potential to mitigate risks such as ventilator-induced lung injury, ventilator-associated pneumonia and asynchronies. The integration of AI, including machine learning, natural language processing and predictive analytics, into MV is reshaping the landscape of critical care, offering advanced solutions to enhance patient outcomes with real-time monitoring, personalised ventilation strategies, early detection of complications and also increased operational efficiency. Key practical issues surrounding the implementation of AI into existing clinical workflows, including data quality, data sharing and privacy, data standardisation, seamless integration with existing healthcare systems, transparency of algorithms, interoperability across multiple platforms, patient safety and addressing ethical concerns, remain. As we advance, a collaborative approach between AI and healthcare professionals will be essential to ensure optimal patient safety.https://journals.lww.com/10.4103/ija.ija_995_24artificial intelligencemachine learning algorithmsmechanical ventilationnatural language processingpatient–ventilator interactionpredictive analysisweaning |
| spellingShingle | Neeraj Pal Singh Masood Ali Mujawar Akash Golani Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future Indian Journal of Anaesthesia artificial intelligence machine learning algorithms mechanical ventilation natural language processing patient–ventilator interaction predictive analysis weaning |
| title | Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future |
| title_full | Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future |
| title_fullStr | Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future |
| title_full_unstemmed | Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future |
| title_short | Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future |
| title_sort | role of artificial intelligence in enhancing mechanical ventilation a peek into the future |
| topic | artificial intelligence machine learning algorithms mechanical ventilation natural language processing patient–ventilator interaction predictive analysis weaning |
| url | https://journals.lww.com/10.4103/ija.ija_995_24 |
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