The Anesthesiologist and Artificial Intelligence
| Main Author: | |
|---|---|
| Publication Date: | 2024 |
| Format: | preprint |
| Language: | spa |
| Source: | SciELO Preprints |
| Download full: | https://preprints.scielo.org/index.php/scielo/preprint/view/10374 |
Summary: | Artificial intelligence has been defined as the study of algorithms, which give machines the ability to reason and perform functions, such as problem solving, object and word recognition, inference of world states, and decision making. The adaptation of AI algorithms and tools to science has brought about a promising future in anesthesiology, offering great potential that must be harnessed by all professionals. Anesthesiology is well positioned to benefit from advances in AI; multiple elements of clinical care, including perioperative and intensive care, pain management and medication administration, medical records, laboratory results, hemodynamic monitoring, ventilatory system, depth of unconsciousness and nociceptive control, images and clinical information, to generate predictive models. Optimize treatment strategies and improve patient safety, allowing the anesthesiologist to focus on overall analysis and decision making. |
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The Anesthesiologist and Artificial IntelligenceEl Anestesiólogo y la Inteligencia ArtificialArtificial IntelligenceMachine learningInteligencia artificialAprendizaje de máquinasAnestesia del futuroArtificial intelligence has been defined as the study of algorithms, which give machines the ability to reason and perform functions, such as problem solving, object and word recognition, inference of world states, and decision making. The adaptation of AI algorithms and tools to science has brought about a promising future in anesthesiology, offering great potential that must be harnessed by all professionals. Anesthesiology is well positioned to benefit from advances in AI; multiple elements of clinical care, including perioperative and intensive care, pain management and medication administration, medical records, laboratory results, hemodynamic monitoring, ventilatory system, depth of unconsciousness and nociceptive control, images and clinical information, to generate predictive models. Optimize treatment strategies and improve patient safety, allowing the anesthesiologist to focus on overall analysis and decision making.La inteligencia artificial se ha definido como el estudio de algoritmos, que otorgan a las máquinas la capacidad de razonar y realizar funciones, como la resolución de problemas, el reconocimiento de objetos y palabras, la inferencia de estados del mundo y la toma de decisiones. La adaptación de algoritmos y herramientas de IA a la ciencia, ha traído como consecuencia un futuro prometedor en anestesiología, ofreciendo un gran potencial que deberá ser aprovechado por todos los profesionales. La anestesiología está bien posicionada para beneficiarse de los avances en IA; múltiples elementos de la atención clínica, incluidos los cuidados perioperatorios e intensivos, el manejo del dolor y la administración de medicamentos, registros médicos, resultados de laboratorio, monitoreo hemodinámico, sistema ventilatorio, profundidad de inconsciencia y control nociceptivo, imágenes e información clínica, para generar modelos predictivos. Optimizar las estrategias de tratamiento y mejorar la seguridad del paciente, permitiendo al anestesiólogo centrarse en el análisis general y la toma de decisiones.SciELO PreprintsSciELO PreprintsSciELO Preprints2024-11-12info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/1037410.1590/SciELOPreprints.10374spahttps://preprints.scielo.org/index.php/scielo/preprint/view/10374/19001Copyright (c) 2024 Enrique Hermandez-Cortezhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessHermandez-Cortez, Enriquereponame:SciELO Preprintsinstname:Scientific Electronic Library Online (SCIELO)instacron:SCI2024-11-07T18:15:28Zoai:ops.preprints.scielo.org:preprint/10374Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2024-11-07T18:15:28SciELO Preprints - Scientific Electronic Library Online (SCIELO)false |
| dc.title.none.fl_str_mv |
The Anesthesiologist and Artificial Intelligence El Anestesiólogo y la Inteligencia Artificial |
| title |
The Anesthesiologist and Artificial Intelligence |
| spellingShingle |
The Anesthesiologist and Artificial Intelligence Hermandez-Cortez, Enrique Artificial Intelligence Machine learning Inteligencia artificial Aprendizaje de máquinas Anestesia del futuro |
| title_short |
The Anesthesiologist and Artificial Intelligence |
| title_full |
The Anesthesiologist and Artificial Intelligence |
| title_fullStr |
The Anesthesiologist and Artificial Intelligence |
| title_full_unstemmed |
The Anesthesiologist and Artificial Intelligence |
| title_sort |
The Anesthesiologist and Artificial Intelligence |
| author |
Hermandez-Cortez, Enrique |
| author_facet |
Hermandez-Cortez, Enrique |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Hermandez-Cortez, Enrique |
| dc.subject.por.fl_str_mv |
Artificial Intelligence Machine learning Inteligencia artificial Aprendizaje de máquinas Anestesia del futuro |
| topic |
Artificial Intelligence Machine learning Inteligencia artificial Aprendizaje de máquinas Anestesia del futuro |
| description |
Artificial intelligence has been defined as the study of algorithms, which give machines the ability to reason and perform functions, such as problem solving, object and word recognition, inference of world states, and decision making. The adaptation of AI algorithms and tools to science has brought about a promising future in anesthesiology, offering great potential that must be harnessed by all professionals. Anesthesiology is well positioned to benefit from advances in AI; multiple elements of clinical care, including perioperative and intensive care, pain management and medication administration, medical records, laboratory results, hemodynamic monitoring, ventilatory system, depth of unconsciousness and nociceptive control, images and clinical information, to generate predictive models. Optimize treatment strategies and improve patient safety, allowing the anesthesiologist to focus on overall analysis and decision making. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-11-12 |
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info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
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preprint |
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publishedVersion |
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https://preprints.scielo.org/index.php/scielo/preprint/view/10374 10.1590/SciELOPreprints.10374 |
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https://preprints.scielo.org/index.php/scielo/preprint/view/10374 |
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10.1590/SciELOPreprints.10374 |
| dc.language.iso.fl_str_mv |
spa |
| language |
spa |
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https://preprints.scielo.org/index.php/scielo/preprint/view/10374/19001 |
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Copyright (c) 2024 Enrique Hermandez-Cortez https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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Copyright (c) 2024 Enrique Hermandez-Cortez https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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1831964359908130816 |