دورية أكاديمية
Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine
العنوان: | Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine |
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المؤلفون: | Henry J. Paiste, Ryan C. Godwin, Andrew D. Smith, Dan E. Berkowitz, Ryan L. Melvin |
المصدر: | Frontiers in Digital Health, Vol 6 (2024) |
بيانات النشر: | Frontiers Media S.A., 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Medicine LCC:Public aspects of medicine LCC:Electronic computers. Computer science |
مصطلحات موضوعية: | data science, artificial intelligence, SWOT, perioperative medicine, machine learning and AI, Medicine, Public aspects of medicine, RA1-1270, Electronic computers. Computer science, QA75.5-76.95 |
الوصف: | The use of artificial intelligence (AI) and machine learning (ML) in anesthesiology and perioperative medicine is quickly becoming a mainstay of clinical practice. Anesthesiology is a data-rich medical specialty that integrates multitudes of patient-specific information. Perioperative medicine is ripe for applications of AI and ML to facilitate data synthesis for precision medicine and predictive assessments. Examples of emergent AI models include those that assist in assessing depth and modulating control of anesthetic delivery, event and risk prediction, ultrasound guidance, pain management, and operating room logistics. AI and ML support analyzing integrated perioperative data at scale and can assess patterns to deliver optimal patient-specific care. By exploring the benefits and limitations of this technology, we provide a basis of considerations for evaluating the adoption of AI models into various anesthesiology workflows. This analysis of AI and ML in anesthesiology and perioperative medicine explores the current landscape to understand better the strengths, weaknesses, opportunities, and threats (SWOT) these tools offer. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2673-253X |
Relation: | https://www.frontiersin.org/articles/10.3389/fdgth.2024.1316931/full; https://doaj.org/toc/2673-253X |
DOI: | 10.3389/fdgth.2024.1316931 |
URL الوصول: | https://doaj.org/article/486fc3fc65d340cb93666abd8322b67e |
رقم الأكسشن: | edsdoj.486fc3fc65d340cb93666abd8322b67e |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 2673253X |
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DOI: | 10.3389/fdgth.2024.1316931 |