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Review Papers | Medicine | United Arab Emirates | Volume 12 Issue 3, March 2023 | Rating: 4.7 / 10
Role of Artificial Intelligence (AI) in Infection Control
Samer Ellahham
Abstract: Infectious diseases, pandemic / epidemic disease spread and hospital-acquired infections cause a major burden on the healthcare system. Artificial intelligence technologies such as machine learning, artificial neural networks, big data analytics and deep learning are useful in the diagnosis, prevention, treatment and monitoring of infections. Machine learning helps in the prediction of infections enabling their early management whereas neural networks enable the selection of most suitable treatment agents in multi-drug resistant cases. Big data analytics improvise decision-making processes through the analysis of gigantic data sets advancing physician's efforts in the management of infections. Artificial intelligence has been successful in the diagnosis of pneumonia, tuberculosis, hepatitis B and C infections among others as well as in person-centered treatment of infections, which is made possible by studying the genomic and panomic profiles of the patient. Because of this personal approach, it is ascertained that patient compliance and engagement with treatment and prevention protocols described by artificial intelligence will be greater than that provided by physicians. Artificial intelligence helps in identifying early signs of patient deterioration such as liver failure through the analysis of biomarkers such as bilirubin. Additionally, it assists in drug synthesis after studying mutation patterns of microorganisms and selecting the most suitable drug agents for management of infections. In the pandemic spread of COVID-19, artificially intelligent platforms such as Bluedot Global have been used for tracking, which signifies it's potential. Further, applications such as Moni and other AI-based active surveillance platforms have demonstrated superiority in monitoring of critical post-operative cases enabling their timely management.
Keywords: Infection, Infection Control, Infectious Disease, Artificial Intelligence, Machine learning, Innovation
Edition: Volume 12 Issue 3, March 2023
Pages: 1242 - 1247