1887
  1. الرئيسية
  2. A-Z Publications
  3. Avicenna
  4. المجلد 2023, العدد 2
  5. المقالة
Volume 2023, Issue 2
  • E-ISSN: 2220-2749

ملخص

Sepsis, a life-threatening condition triggered by an altered immune response to infection, poses significant challenges in clinical management.

This review discusses the role of Artificial Intelligence (AI) in predicting Sepsis-Associated Encephalopathy (SAE) and Sepsis-Associated Delirium (SAD).

A thorough search encompassing PubMed, CINAHL, Medline, and Google Scholar yielded studies published from 2010 to 2023.

The narrative review emphasizes AI's potential in the early identification and prognosis of SAE and SAD, specifically through machine learning and deep learning methods, such as XGBoost.

This review underscores the importance of early detection in sepsis and emphasizes how AI can improve prediction accuracy, offering promise in transforming the management of these complex neurological complications within the intensive care unit (ICU).

© 2023 [Author(s)], licensee HBKU Press.
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References

  1. Mannes M, Schmidt CQ, Nilsson B, Ekdahl KN, Huber-Lang M. Complement as driver of systemic inflammation and organ failure in trauma, burn, and sepsis. Seminars in immunopathology. 2021 Dec; 43:(6):773-788.
     [Google الباحث العلمي]
  2. Lidani KCF, Andrade FA, Bavia L, Damasceno FS, Beltrame MH, Messias-Reason IJ, et al. Chagas disease: from discovery to a worldwide health problem. Frontiers in public health. 2019 Jul 2;7:166.
     [Google الباحث العلمي]
  3. Vian T. Anti-corruption, transparency and accountability in health: concepts, frameworks, and approaches. Global health action. 2020; 13:(sup1):1694744.
     [Google الباحث العلمي]
  4. Tauber SC, Djukic M, Gossner J, Eiffert H, Brück W, Nau R. Sepsis-associated encephalopathy and septic encephalitis: an update. Expert review of anti-infective therapy. 2021; 19:(2):215-31.
     [Google الباحث العلمي]
  5. Della Giovampaola M, Cavalli I, Mascia L. Neuropsychological outcome of critically ill patients with severe infection. Biomedicines. 2022; 10:(3):526.
     [Google الباحث العلمي]
  6. Chaithanya Jr P, Meshram RJ. Chemo Markers as Biomarkers in Septic Shock: A Comprehensive Review of Their Utility and Clinical Applications. Cureus. 2023; 15:(7):e42558.
     [Google الباحث العلمي]
  7. De J, Wand AP. Delirium screening: a systematic review of delirium screening tools in hospitalized patients. The Gerontologist. 2015; 55:(6):1079-99.
     [Google الباحث العلمي]
  8. Consoli DC. Development of a Mouse Model of Sepsis Associated Encephalopathy and Delirium Using Electroencephalography and Neurobehavior [dissertation]. Vanderbilt University;2021.
     [Google الباحث العلمي]
  9. Kooli C. Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability. 2023; 15:(7):5614.
     [Google الباحث العلمي]
  10. Manickam P, Mariappan SA, Murugesan SM, Hansda S, Kaushik A, Shinde R, et al. Artificial intelligence (AI) and Internet of Medical Things (IoMT) assisted biomedical systems for intelligent healthcare. Biosensors. 2022; 12:(8):562.
     [Google الباحث العلمي]
  11. Kooli C, Al Muftah H. Artificial intelligence in healthcare: a comprehensive review of its ethical concerns. Technological Sustainability. 2022; 1:(2):121-31.
     [Google الباحث العلمي]
  12. Aggarwal K, Mijwil MM, Al-Mistarehi A-H, Alomari S, Gök M, Alaabdin AMZ, et al. Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics. 2022; 3:(1):115-23.
     [Google الباحث العلمي]
  13. Zaguia A. Personal Healthcare Data Records Analysis and Monitoring using The Internet of Things and Cloud Computing. Avicenna. 2023; 2023:(1):4.
     [Google الباحث العلمي]
  14. Rao B, Zohrabian V, Cedeno P, Saha A, Pahade J, Davis MA. Utility of artificial intelligence tool as a prospective radiology peer reviewer—Detection of unreported intracranial hemorrhage. Academic radiology. 2021; 28:(1):85-93.
     [Google الباحث العلمي]
  15. Johnson KB, Wei WQ, Weeraratne D, Frisse ME, Misulis K, Rhee K, et al. Precision medicine, AI, and the future of personalized health care. Clinical and translational science. 2021; 14:(1):86-93.
     [Google الباحث العلمي]
  16. Golas SB, Nikolova-Simons M, Palacholla R, op den Buijs J, Garberg G, Orenstein A, et al. Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial. npj Digital Medicine. 2021; 4:(1):97.
     [Google الباحث العلمي]
  17. Ahmed Z, Mohamed K, Zeeshan S, Dong X. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database. 2020;2020:baaa010.
     [Google الباحث العلمي]
  18. Chen ZH, Lin L, Wu CF, Li CF, Xu RH, Sun Y. Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine. Cancer Communications. 2021; 41:(11):1100-15.
     [Google الباحث العلمي]
  19. Kumar A, Gond A. NATURAL LANGUAGE PROCESSING: HEALTHCARE ACHIEVING BENEFITS VIA NLP. ScienceOpen Preprints. 2023.
     [Google الباحث العلمي]
  20. Krishna K, Pavel A, Schloss B, Bigham JP, Lipton ZC. Extracting structured data from physician-patient conversations by predicting noteworthy utterances. Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability. 2021:155-69.
     [Google الباحث العلمي]
  21. Chakraborty C. Digital Health Transformation with Blockchain and Artificial Intelligence. Boca Raton: CRC Press; 2022.
     [Google الباحث العلمي]
  22. Zhu J, Lyu L, Xu Y, Liang H, Zhang X, Ding H, et al. Intelligent soft surgical robots for next-generation minimally invasive surgery. Advanced Intelligent Systems. 2021; 3:(5):2100011.
     [Google الباحث العلمي]
  23. Sun J, Dong Q-X, Wang S-W, Zheng Y-B, Liu X-X, Lu T-S, et al. Artificial intelligence in psychiatry research, diagnosis, and therapy. Asian Journal of Psychiatry. 2023:103705.
     [Google الباحث العلمي]
  24. Kilanko V. Leveraging Artificial Intelligence for Enhanced Revenue Cycle Management in the United States. International Journal of Scientific Advances. 2023; 4:(4):505-14.
     [Google الباحث العلمي]
  25. Telo J. Smart City Security Threats and Countermeasures in the Context of Emerging Technologies. International Journal of Intelligent Automation and Computing. 2023; 6:(1):31-45.
     [Google الباحث العلمي]
  26. Zhang Y, Hu J, Hua T, Zhang J, Zhang Z, Yang M. Development of a machine learning-based prediction model for sepsis-associated delirium in the intensive care unit. Scientific Reports. 2023; 13:(1):12697.
     [Google الباحث العلمي]
  27. Ren Y, Loftus TJ, Datta S, Ruppert MM, Guan Z, Miao S, et al. Performance of a machine learning algorithm using electronic health record data to predict postoperative complications and report on a mobile platform. JAMA Network Open. 2022; 5:(5):e2211973-e.
     [Google الباحث العلمي]
  28. Lu X, Kang H, Zhou D, Li Q. Prediction and risk assessment of sepsis-associated encephalopathy in ICU based on interpretable machine learning. Scientific Reports. 2022; 12:(1):22621.
     [Google الباحث العلمي]
  29. Peng L, Peng C, Yang F, Wang J, Zuo W, Cheng C, et al. Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy. BMC Medical Research Methodology. 2022; 22:(1):1-12.
     [Google الباحث العلمي]
  30. Schwantes IR, Axelrod DA. Technology-enabled care and artificial intelligence in kidney transplantation. Current transplantation reports. 2021;8:235-40.
     [Google الباحث العلمي]
  31. Harry A. The Future of Medicine: Harnessing the Power of AI for Revolutionizing Healthcare. International Journal of Multidisciplinary Sciences and Arts. 2023; 2:(1):36-47.
     [Google الباحث العلمي]
  32. Bentéjac C, Csörgő A, Martínez-Muñoz G. A comparative analysis of gradient boosting algorithms. Artificial Intelligence Review. 2021;54:1937-67.
     [Google الباحث العلمي]
  33. Elavarasan D, Vincent DR. Reinforced XGBoost machine learning model for sustainable intelligent agrarian applications. Journal of Intelligent & Fuzzy Systems. 2020; 39:(5):7605-20.
     [Google الباحث العلمي]
  34. Hartman ME, Williams CN, Hall TA, Bosworth CC, Piantino JA. Post-intensive-care syndrome for the pediatric neurologist. Pediatric neurology. 2020;108:47-53.
     [Google الباحث العلمي]
  35. Nwokonna AO. Implementation of a Confusion Assessment Tool to Assess and Treat Delirium in Adult Patients in the Intensive Care Unit [dissertation]. Brandman University; 2021.
     [Google الباحث العلمي]
  36. Savvina IA, Ryzhkova DV, Bykova KM, Lebedev KE, Petrova AO, Drygina NV, et al. Diagnostics of central and autonomic nervous system dysfunction in patients with Sepsis-associated encephalopathy. Sepsis - New Perspectives. 2022.
     [Google الباحث العلمي]
  37. Javaid M, Haleem A, Singh RP, Suman R, Rab S. Significance of machine learning in healthcare: Features, pillars and applications. International Journal of Intelligent Networks. 2022;3:58-73.
     [Google الباحث العلمي]
  38. Penconek T, Tate K, Bernardes A, Lee S, Micaroni SP, Balsanelli AP, et al. Determinants of nurse manager job satisfaction: A systematic review. International Journal of Nursing Studies. 2021;118:103906.
     [Google الباحث العلمي]
  39. Kooli C. Navigating post-COVID healthcare challenges: towards equitable, sustainable, and ethical policy making. Avicenna. 2023; 2023:(1):1.
     [Google الباحث العلمي]
  40. World Health Organization. Global patient safety action plan 2021-2030: towards eliminating avoidable harm in health care [Internet]. 2021 [cited 2023 Dec 1]. Available from: https://www.who.int/teams/integrated-health-services/patient-safety/policy/global-patient-safety-action-plan .
  41. Mao Y, Wang D, Muller M, Varshney KR, Baldini I, Dugan C, et al. How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right question? Proceedings of the ACM on Human-Computer Interaction. 2019; 3:(GROUP):1-23.
     [Google الباحث العلمي]
/content/journals/10.5339/avi.2023.11
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Artificial Intelligence Applications in the Intensive Care Unit for Sepsis-Associated Encephalopathy and Delirium: A Narrative Review
Avicenna 2023, 11 (٢٠٢٤); https://doi.org/10.5339/avi.2023.11
/content/journals/10.5339/avi.2023.11
/content/journals/10.5339/avi.2023.11
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  • نوع المستند: Research Article
الموضوعات الرئيسية Artificial Intelligence (AI), Intensive Care Unit (ICU), Machine Learning (ML), Sepsis, Sepsis-Associated Delirium (SAD) and Sepsis-Associated Encephalopathy (SAE)

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