Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy
F Pennisi, A Pinto, GE Ricciardi, C Signorelli… - European Journal of …, 2025 - Springer
The increasing threat of antimicrobial resistance has prompted a need for more effective
antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning …
antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning …
[HTML][HTML] Application of medical artificial intelligence technology in sub-Saharan Africa: Prospects for medical laboratories
The widespread adoption of artificial intelligence (AI) technology globally has brought
significant changes to various sectors. AI-assisted algorithms have notably improved …
significant changes to various sectors. AI-assisted algorithms have notably improved …
Distinct immune profiles and clinical outcomes in sepsis subphenotypes based on temperature trajectories
SV Bhavani, A Spicer, P Sinha, A Malik… - Intensive care …, 2024 - Springer
Purpose Sepsis is a heterogeneous syndrome. Identification of sepsis subphenotypes with
distinct immune profiles could lead to targeted therapies. This study investigates the immune …
distinct immune profiles could lead to targeted therapies. This study investigates the immune …
Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters
F Zhang, H Wang, L Liu, T Su, B Ji - BMC Infectious Diseases, 2023 - Springer
Background Bacterial bloodstream infection is responsible for the majority of cases of sepsis
and septic shock. Early recognition of the causative pathogen is pivotal for administration of …
and septic shock. Early recognition of the causative pathogen is pivotal for administration of …
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review
Background: Blood-related infections are a significant concern in healthcare. They can lead
to serious medical complications and even death if not promptly diagnosed and treated …
to serious medical complications and even death if not promptly diagnosed and treated …