Artificial intelligence & clinical nutrition: What the future might have in store
Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the
potential to revolutionise clinical nutrition. AI can assist in analysing complex data …
potential to revolutionise clinical nutrition. AI can assist in analysing complex data …
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Antimicrobial resistance (AMR) and healthcare associated infections pose a significant
threat globally. One key prevention strategy is to follow antimicrobial stewardship practices …
threat globally. One key prevention strategy is to follow antimicrobial stewardship practices …
Using digital health technologies to optimise antimicrobial use globally
Digital health technology (DHT) describes tools and devices that generate or process health
data. The application of DHTs could improve the diagnosis, treatment, and surveillance of …
data. The application of DHTs could improve the diagnosis, treatment, and surveillance of …
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 …
Artificial intelligence and prescription of antibiotic therapy: present and future
DR Giacobbe, C Marelli, S Guastavino… - Expert Review of Anti …, 2024 - Taylor & Francis
Introduction In the past few years, the use of artificial intelligence in healthcare has grown
exponentially. Prescription of antibiotics is not exempt from its rapid diffusion, and various …
exponentially. Prescription of antibiotics is not exempt from its rapid diffusion, and various …
Evaluating the impact of private land conservation with synthetic control design
Programs to protect biodiversity on private land are increasingly being used worldwide. To
understand the efficacy of such programs, it is important to determine their impact: the …
understand the efficacy of such programs, it is important to determine their impact: the …
Brave New World of Artificial Intelligence: Its Use in Antimicrobial Stewardship—A Systematic Review
R Pinto-de-Sá, B Sousa-Pinto, S Costa-de-Oliveira - Antibiotics, 2024 - mdpi.com
Antimicrobial resistance (AMR) is a growing public health problem in the One Health
dimension. Artificial intelligence (AI) is emerging in healthcare, since it is helpful to deal with …
dimension. Artificial intelligence (AI) is emerging in healthcare, since it is helpful to deal with …
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 …
Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence
Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face
in the future. There have been various attempts to preserve the efficacy of existing …
in the future. There have been various attempts to preserve the efficacy of existing …
Commentary: Machine learning in clinical decision-making
AC Filiberto, DA Donoho, IL Leeds… - Frontiers in Digital …, 2023 - frontiersin.org
Given the success of the “Machine Learning in Clinical Decision-Making Research” Topic
published in Frontiers in Digital Health, we–the editors of the Research Topic–were pleased …
published in Frontiers in Digital Health, we–the editors of the Research Topic–were pleased …