Decisions made during forensic investigations are commonly based on personal knowledge, experiences and assumptions. However, forensic professionals generally do not receive feedback on the outcomes of their decisions, resulting in a deficient learning system. An imperfect individual knowledge base can …

The European Union Artificial Intelligence (AI) Act was adopted in 2024 to protect public interests from AI-related harms. We aimed to determine whether the AI Act captures the most relevant stakeholders’ values for a high-risk AI Clinical Decision Support System (CDSS) for cardiovascular disease. Ethics …

True Price (TP) transparency offers a structured approach to integrate sustainability into SME investment decisions by quantifying hidden social and environmental costs. This study explores how SMEs respond to TP insights, identifying key enablers and barriers to adoption. The Theory of Planned Behavior …

In physiotherapy practice, the use of Artificial Intelligence (AI) is becoming increasingly common. For instance, you may be familiar with STarT Back Tool, a decision-support model designed for individuals with low back pain.1 This model can assess risks and recommends the most appropriate treatment …

AIM: To understand the steps in the decision-making process regarding pain assessment and management for people living with dementia from the perspectives and experiences of people with dementia, formal and informal carers. METHODS: A systematic review was conducted. Seven English databases were searched, …

The aging population presents challenges for healthcare, particularly in maintaining the functional independence of older adults. The Decision Support Tool for Functional Independence was developed to identify declines in functional independence and promote collaboration between healthcare professionals. …

Clinical Decision Support Systems (CDSS) are increasingly developed for hospital nursing practice, yet their impact on decision-making, workflow efficiency, and patient outcomes remains complex. This rapid review synthesizes findings from 21 studies, highlighting both the benefits and challenges of CDSS …

Clinical decision support systems (CDSSs) have gained prominence in health care, aiding professionals in decision-making and improving patient outcomes. While physicians often use CDSSs for diagnosis and treatment optimization, nurses rely on these systems for tasks such as patient monitoring, prioritization, …

Trust in AI is crucial for effective and responsible use in high-stakes sectors like healthcare and finance. One of the most commonly used techniques to mitigate mistrust in AI and even increase trust is the use of Explainable AI models, which enables human understanding of certain decisions made by …

Artificial Intelligence systems are more and more being introduced into first response; however, this introduction needs to be done responsibly. While generic claims on what this entails already exist, more details are required to understand the exact nature of responsible application of AI within the …