Implications of using artificial intelligence in the diagnosis of sepsis/sepsis shock.

Autor:	Gorecki GP; MD, PhD, Lecturer, Department of Anesthesia and Intensive Care, 'Titu Maiorescu' University, Faculty of Medicine, 67A Gheorghe Petrașcu Street, 031593, Bucharest, Romania, and CF2 Clinical Hospital, Department of Anesthesia and Intensive Care, 63 Mărăşti Boulevard, 011464, Bucharest, Romania., Tomescu DR; MD, PhD, Prof. Habil, Department of Anesthesia and Intensive Care, Carol Davila University of Medicine and Pharmacy, 37 Dionisie Lupu Street, 020021, Bucharest, Romania, and Fundeni Clinical Institute, Department of Anesthesia and Intensive Care, 258 Fundeni Road, 022328, Bucharest, Romania., Pleș L; MD, PhD, Prof. Habil, Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 37 Dionisie Lupu Street, 020021, Bucharest, Romania, and Department of Obstetrics and Gynecology, 'Saint John' Emergency Clinical Hospital, 'Bucur' Maternity, 10 Între Gârle Street, 040294, Bucharest, Romania., Panaitescu AM; MD, PhD, Assoc Prof, Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 37 Dionisie Lupu Street, 020021, Bucharest, Romania, and Filantropia Clinical Hospital, Department of Obstetrics and Gynecology, 11-13 Ion Mihalache Boulevard, 011132, Bucharest, Romania., Dragosloveanu Ș; MD, PhD, Assistant Professor, Department of Orthopaedics and Traumatology, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd, 050474, Bucharest, Romania and Department of Orthopaedics, 'Foișor' Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 35-37 Ferdinand Blvd, 021382, Bucharest, Romania., Scheau C; MD, PhD, Dr. habil, Associate Professor, Department of Physiology, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd, 050474, Bucharest, Romania, and Department of Radiology and Medical Imaging, 'Foișor' Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 35-37 Ferdinand Blvd, 021382, Bucharest, Romania., Sima RM; MD, PhD, Lecturer, Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 37 Dionisie Lupu Street, 020021, Bucharest, Romania, and Department of Obstetrics and Gynecology, 'Saint John' Emergency Clinical Hospital, 'Bucur' Maternity, 10 Între Gârle Street, 040294, Bucharest, Romania., Coman IS; MD, PhD, Assist Prof, Department of General Surgery, Carol Davila University of Medicine and Pharmacy, 37 Dionisie Lupu Street, 020021, Bucharest, Romania, and 'Bagdasar-Arseni' Emergency Clinical Hospital, Department of General Surgery, 12 Berceni Road, 041915, Bucharest, Romania., Grigorean VT; MD, PhD, Prof. Habil, Department of General Surgery, Carol Davila University of Medicine and Pharmacy, 37 Dionisie Lupu Street, 020021, Bucharest, Romania, and 'Bagdasar-Arseni' Emergency Clinical Hospital, Department of General Surgery, 12 Berceni Road, 041915, Bucharest, Romania., Cochior D; MD, PhD, Prof Habil, Department of General Surgery, Titu Maiorescu University, Faculty of Medicine, 67A Gheorghe Petrașcu Street, 031593, and Monza Clinical Hospital, Department of General Surgery, 27 Tony Bulandra Street, 021967, Bucharest, Romania.
Jazyk:	angličtina
Zdroj:	Germs [Germs] 2024 Mar 31; Vol. 14 (1), pp. 77-84. Date of Electronic Publication: 2024 Mar 31 (Print Publication: 2024).
DOI:	10.18683/germs.2024.1419
Abstrakt:	Introduction: Sepsis and septic shock represent severe pathological states, characterized by the systemic response to infection, which can lead to organ dysfunction and high mortality. Early diagnosis and rapid intervention are crucial for improving survival chances. However, the diagnosis of sepsis is complex due to its nonspecific symptoms and the variability of patient responses to infections. Methods: The objective of this research was to analyze the implications of using artificial intelligence (AI) in the diagnosis of sepsis and septic shock. The research method applied in the analysis of the implications of using artificial intelligence (AI) in the diagnosis of sepsis and septic shock is the literature review. Results: Among the benefits of using AI in the diagnosis of sepsis, it is noted that artificial intelligence can rapidly analyze large volumes of clinical data to identify early signs of sepsis, sometimes even before symptoms become evident to medical staff. AI models can use predictive algorithms to assess the risk of sepsis in patients, allowing for early interventions that can save lives. AI can contribute to the development of personalized treatment plans, adapting to the specific needs of each patient based on their medical history and response to treatment. The use of patient data to train AI models raises concerns regarding data privacy and security. Conclusions: Artificial intelligence has the potential to revolutionize the diagnosis and treatment of sepsis, offering powerful tools for early identification and management of this critical condition. However, to realize this potential, close collaboration between researchers, clinicians, and technology developers is necessary, as well as addressing ethical and implementation challenges. Competing Interests: Conflicts of interest: All authors – none to declare. (GERMS.)
Databáze:	MEDLINE
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