Remanufacturing processes are inevitably associated with sustainable development. To
unleash the potential of remanufacturing for circular economy transition, practitioners have …

Colon cancer is a significant global health problem, and early detection is critical for
improving survival rates. Traditional detection methods, such as colonoscopies, can be …

Antimicrobial resistance (AMR) and healthcare associated infections pose a significant
threat globally. One key prevention strategy is to follow antimicrobial stewardship practices …

There is growing interest in exploiting the advances in artificial intelligence and machine
learning (ML) for improving and monitoring antimicrobial prescriptions in line with …

The impact of using AI to guide patient care or operational processes depends on the
interplay between the AI model's output, the decision-making protocol based on that output …

Fluid overload, while common in the ICU and associated with serious sequelae, is hard to
predict and may be influenced by ICU medication use. Machine learning (ML) approaches …

Motivation Acute kidney injury (AKI) is a syndrome that affects a large fraction of all critically
ill patients, and early diagnosis to receive adequate treatment is as imperative as it is …

The last decade has seen significant advances in the accumulation of medical data, the
computational techniques to analyze that data, and corresponding improvements in …

Background Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and
may be preventable. Intravenous medications (including administered volume) are a primary …

Objectives To explore the views of intensive care professionals in high-income countries
(HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation …