Artificial intelligence in respiratory care
<p dir="ltr">The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of t...
محفوظ في:
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| مؤلفون آخرون: | , , , |
| منشور في: |
2024
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| _version_ | 1864513551804137472 |
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| author | Manjush Karthika (18384907) |
| author2 | Jithin Kalathikudiyil Sreedharan (18268894) Madhuragauri Shevade (20735687) Chris Sara Mathew (20735690) Santosh Ray (20735693) |
| author2_role | author author author author |
| author_facet | Manjush Karthika (18384907) Jithin Kalathikudiyil Sreedharan (18268894) Madhuragauri Shevade (20735687) Chris Sara Mathew (20735690) Santosh Ray (20735693) |
| author_role | author |
| dc.creator.none.fl_str_mv | Manjush Karthika (18384907) Jithin Kalathikudiyil Sreedharan (18268894) Madhuragauri Shevade (20735687) Chris Sara Mathew (20735690) Santosh Ray (20735693) |
| dc.date.none.fl_str_mv | 2024-12-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fdgth.2024.1502434 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Artificial_intelligence_in_respiratory_care/28428614 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Cardiovascular medicine and haematology Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning artificial intelligence machine learning deep learning respiratory care mechanical ventilation |
| dc.title.none.fl_str_mv | Artificial intelligence in respiratory care |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties. AI algorithms are widely studied in areas like mechanical ventilation, sleep medicine, lung ultrasound, and pulmonary function diagnostics and the results are found to be promising. The quality of patient care and safety can be greatly enhanced if respiratory care professionals fully understand the concept and importance of AI, as they are already incorporating various aspects of this technology into their clinical practice. Awareness of AI in the clinical field is essential during this phase; hence, it is desirable to establish widely accepted standards presented in a clear and accessible language. This article aims to describe the existing and prospective role of AI in the field of respiratory care and allied areas.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Digital Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fdgth.2024.1502434" target="_blank">https://dx.doi.org/10.3389/fdgth.2024.1502434</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_67fea95a10096b9314a0de85885bddf7 |
| identifier_str_mv | 10.3389/fdgth.2024.1502434 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/28428614 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Artificial intelligence in respiratory careManjush Karthika (18384907)Jithin Kalathikudiyil Sreedharan (18268894)Madhuragauri Shevade (20735687)Chris Sara Mathew (20735690)Santosh Ray (20735693)Biomedical and clinical sciencesCardiovascular medicine and haematologyHealth sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceMachine learningartificial intelligencemachine learningdeep learningrespiratory caremechanical ventilation<p dir="ltr">The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties. AI algorithms are widely studied in areas like mechanical ventilation, sleep medicine, lung ultrasound, and pulmonary function diagnostics and the results are found to be promising. The quality of patient care and safety can be greatly enhanced if respiratory care professionals fully understand the concept and importance of AI, as they are already incorporating various aspects of this technology into their clinical practice. Awareness of AI in the clinical field is essential during this phase; hence, it is desirable to establish widely accepted standards presented in a clear and accessible language. This article aims to describe the existing and prospective role of AI in the field of respiratory care and allied areas.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Digital Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fdgth.2024.1502434" target="_blank">https://dx.doi.org/10.3389/fdgth.2024.1502434</a></p>2024-12-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fdgth.2024.1502434https://figshare.com/articles/journal_contribution/Artificial_intelligence_in_respiratory_care/28428614CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284286142024-12-01T00:00:00Z |
| spellingShingle | Artificial intelligence in respiratory care Manjush Karthika (18384907) Biomedical and clinical sciences Cardiovascular medicine and haematology Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning artificial intelligence machine learning deep learning respiratory care mechanical ventilation |
| status_str | publishedVersion |
| title | Artificial intelligence in respiratory care |
| title_full | Artificial intelligence in respiratory care |
| title_fullStr | Artificial intelligence in respiratory care |
| title_full_unstemmed | Artificial intelligence in respiratory care |
| title_short | Artificial intelligence in respiratory care |
| title_sort | Artificial intelligence in respiratory care |
| topic | Biomedical and clinical sciences Cardiovascular medicine and haematology Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning artificial intelligence machine learning deep learning respiratory care mechanical ventilation |