The Promise of Artificial Intelligence in Neuroanesthesia: An Update
Artificial intelligence (AI) is poised to transform health care across medical specialties. Although the application of AI to neuroanesthesiology is just emerging, it will undoubtedly affect neuroanesthesiologists in foreseeable and unforeseeable ways, with potential roles in preoperative patient as...
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| Format: | Article |
| Language: | English |
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Thieme Medical and Scientific Publishers Pvt. Ltd.
2024-09-01
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| Series: | Journal of Neuroanaesthesiology and Critical Care |
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| Online Access: | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1787844 |
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| author | Zhenrui Liao Niharika Mathur Vidur Joshi Shailendra Joshi |
| author_facet | Zhenrui Liao Niharika Mathur Vidur Joshi Shailendra Joshi |
| author_sort | Zhenrui Liao |
| collection | DOAJ |
| description | Artificial intelligence (AI) is poised to transform health care across medical specialties. Although the application of AI to neuroanesthesiology is just emerging, it will undoubtedly affect neuroanesthesiologists in foreseeable and unforeseeable ways, with potential roles in preoperative patient assessment, airway assessment, predicting intraoperative complications, and monitoring and interpreting vital signs. It will advance the diagnosis and treatment of neurological diseases due to improved risk identification, data integration, early diagnosis, image analysis, and pharmacological and surgical robotic assistance. Beyond direct medical care, AI could also automate many routine administrative tasks in health care, assist with teaching and training, and profoundly impact neuroscience research. This article introduces AI and its various approaches from a neuroanesthesiology perspective. A basic understanding of the computational underpinnings, advantages, limitations, and ethical implications is necessary for using AI tools in clinical practice and research. The update summarizes recent reports of AI applications relevant to neuroanesthesiology. Providing a holistic view of AI applications, this review shows how AI could usher in a new era in the specialty, significantly improving patient care and advancing neuroanesthesiology research. |
| format | Article |
| id | doaj-art-d49d5577c7b143e5babd4ea66c9c8309 |
| institution | Kabale University |
| issn | 2348-0548 2348-926X |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
| record_format | Article |
| series | Journal of Neuroanaesthesiology and Critical Care |
| spelling | doaj-art-d49d5577c7b143e5babd4ea66c9c83092025-01-10T23:57:26ZengThieme Medical and Scientific Publishers Pvt. Ltd.Journal of Neuroanaesthesiology and Critical Care2348-05482348-926X2024-09-01110316717810.1055/s-0044-1787844The Promise of Artificial Intelligence in Neuroanesthesia: An UpdateZhenrui Liao0Niharika Mathur1Vidur Joshi2Shailendra Joshi3Department of Neuroscience, Columbia University, New York, New York, United StatesSchool of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United StatesDepartment of Biomedical Engineering, Steven's Institute of Technology, Hoboken, New Jersey, United StatesDepartment of Anesthesiology, Columbia University, New York, New York, United StatesArtificial intelligence (AI) is poised to transform health care across medical specialties. Although the application of AI to neuroanesthesiology is just emerging, it will undoubtedly affect neuroanesthesiologists in foreseeable and unforeseeable ways, with potential roles in preoperative patient assessment, airway assessment, predicting intraoperative complications, and monitoring and interpreting vital signs. It will advance the diagnosis and treatment of neurological diseases due to improved risk identification, data integration, early diagnosis, image analysis, and pharmacological and surgical robotic assistance. Beyond direct medical care, AI could also automate many routine administrative tasks in health care, assist with teaching and training, and profoundly impact neuroscience research. This article introduces AI and its various approaches from a neuroanesthesiology perspective. A basic understanding of the computational underpinnings, advantages, limitations, and ethical implications is necessary for using AI tools in clinical practice and research. The update summarizes recent reports of AI applications relevant to neuroanesthesiology. Providing a holistic view of AI applications, this review shows how AI could usher in a new era in the specialty, significantly improving patient care and advancing neuroanesthesiology research.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1787844neuroanesthesiologyanesthesiologyartificial intelligencedeep learningmachine learning |
| spellingShingle | Zhenrui Liao Niharika Mathur Vidur Joshi Shailendra Joshi The Promise of Artificial Intelligence in Neuroanesthesia: An Update Journal of Neuroanaesthesiology and Critical Care neuroanesthesiology anesthesiology artificial intelligence deep learning machine learning |
| title | The Promise of Artificial Intelligence in Neuroanesthesia: An Update |
| title_full | The Promise of Artificial Intelligence in Neuroanesthesia: An Update |
| title_fullStr | The Promise of Artificial Intelligence in Neuroanesthesia: An Update |
| title_full_unstemmed | The Promise of Artificial Intelligence in Neuroanesthesia: An Update |
| title_short | The Promise of Artificial Intelligence in Neuroanesthesia: An Update |
| title_sort | promise of artificial intelligence in neuroanesthesia an update |
| topic | neuroanesthesiology anesthesiology artificial intelligence deep learning machine learning |
| url | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1787844 |
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