Artificial intelligence for the optimal management of community-acquired pneumonia
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Artificial intelligence for the optimal management of community-acquired pneumonia. / Barbieri, Maria Antonietta; Battini, Vera; Sessa, Maurizio.
In: Current Opinion in Pulmonary Medicine, Vol. 30, No. 3, 2024, p. 252-257.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Artificial intelligence for the optimal management of community-acquired pneumonia
AU - Barbieri, Maria Antonietta
AU - Battini, Vera
AU - Sessa, Maurizio
N1 - Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2024
Y1 - 2024
N2 - PURPOSE OF REVIEW: This timely review explores the integration of artificial intelligence (AI) into community-acquired pneumonia (CAP) management, emphasizing its relevance in predicting the risk of hospitalization. With CAP remaining a global public health concern, the review highlights the need for efficient and reliable AI tools to optimize resource allocation and improve patient outcomes.RECENT FINDINGS: Challenges in CAP management delve into the application of AI in predicting CAP-related hospitalization risks, and complications, and mortality. The integration of AI-based risk scores in managing CAP has the potential to enhance the accuracy of predicting patients at higher risk, facilitating timely intervention and resource allocation. Moreover, AI algorithms reduce variability associated with subjective clinical judgment, promoting consistency in decision-making, and provide real-time risk assessments, aiding in the dynamic management of patients with CAP.SUMMARY: The development and implementation of AI-tools for hospitalization in CAP represent a transformative approach to improving patient outcomes. The integration of AI into healthcare has the potential to revolutionize the way we identify and manage individuals at risk of severe outcomes, ultimately leading to more efficient resource utilization and better overall patient care.
AB - PURPOSE OF REVIEW: This timely review explores the integration of artificial intelligence (AI) into community-acquired pneumonia (CAP) management, emphasizing its relevance in predicting the risk of hospitalization. With CAP remaining a global public health concern, the review highlights the need for efficient and reliable AI tools to optimize resource allocation and improve patient outcomes.RECENT FINDINGS: Challenges in CAP management delve into the application of AI in predicting CAP-related hospitalization risks, and complications, and mortality. The integration of AI-based risk scores in managing CAP has the potential to enhance the accuracy of predicting patients at higher risk, facilitating timely intervention and resource allocation. Moreover, AI algorithms reduce variability associated with subjective clinical judgment, promoting consistency in decision-making, and provide real-time risk assessments, aiding in the dynamic management of patients with CAP.SUMMARY: The development and implementation of AI-tools for hospitalization in CAP represent a transformative approach to improving patient outcomes. The integration of AI into healthcare has the potential to revolutionize the way we identify and manage individuals at risk of severe outcomes, ultimately leading to more efficient resource utilization and better overall patient care.
U2 - 10.1097/MCP.0000000000001055
DO - 10.1097/MCP.0000000000001055
M3 - Journal article
C2 - 38305352
VL - 30
SP - 252
EP - 257
JO - Current Opinion in Pulmonary Medicine
JF - Current Opinion in Pulmonary Medicine
SN - 1070-5287
IS - 3
ER -
ID: 385025476