Artificial intelligence & clinical nutrition: What the future might have in store

A Bond, K Mccay, S Lal - Clinical nutrition ESPEN, 2023 - Elsevier
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 …

Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning

WJ Bolton, R Wilson, M Gilchrist, P Georgiou… - Nature …, 2024 - nature.com
Antimicrobial resistance (AMR) and healthcare associated infections pose a significant
threat globally. One key prevention strategy is to follow antimicrobial stewardship practices …

Using digital health technologies to optimise antimicrobial use globally

TM Rawson, N Zhu, R Galiwango, D Cocker… - The Lancet Digital …, 2024 - thelancet.com
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 …

Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review

B Hernandez, DK Ming, TM Rawson, W Bolton… - Artificial Intelligence in …, 2024 - Elsevier
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 …

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 …

Evaluating the impact of private land conservation with synthetic control design

R Sharma, S Jones, D Robinson… - Conservation …, 2023 - Wiley Online Library
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 …

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 …

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 …

Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence

D Rusic, M Kumric, A Seselja Perisin, D Leskur, J Bukic… - Microorganisms, 2024 - mdpi.com
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 …

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 …