BACKGROUND AND OBJECTIVES: Distinguishing neurodegenerative diseases is a challenging task requiring neurologic expertise. Clinical decision support systems (CDSSs) powered by machine learning (ML) and artificial intelligence can assist with complex ...
This article explores the integration of artificial intelligence (AI) in advanced practice nursing, highlighting its potential to enhance clinical decision-making, diagnostic accuracy, and workflow efficiency. AI offers substantial benefits for NPs, ...
PURPOSE OF REVIEW: To review the current risk and prognostic stratification systems in localised prostate cancer. To explore some of the most promising adjuncts to clinical models and what the evidence has shown regarding their value.
BACKGROUND: Clinical work-up for suspected cardiac chest pain is resource intensive. Despite expectations, high-sensitivity cardiac troponin assays have not made decision making easier. The impact of recently validated rapid triage protocols includin...
Throughout the history of medicine, clinical decision-making strategies have largely been dependent on the implementation of novel technologies. Artificial intelligence (AI) has not only made a leap into a new dimension of medical measures & decision...
The integration of artificial intelligence (AI) into health care presents significant challenges for traditional informed consent practices. This review examines the legal and ethical implications of using AI in clinical decision-making, with a focus...
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jun 1, 2025
INTRODUCTION: The study aimed to develop and validate the Emergency Department Dementia Algorithm (EDDA) to detect dementia among older adults (65+) and support clinical decision-making in the emergency department (ED).
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Jun 1, 2025
INTRODUCTION: Determining the ideal surgical strategy for breast pathologies can sometimes be challenging, in particular if personalized solutions are required. Moreover, acquiring the necessary expertise takes years. Artificial intelligence (AI) may...
BACKGROUND: Understanding how clinicians arrive at decisions in actual practice settings is vital for advancing personalized, evidence-based care. However, systematic analysis of qualitative decision data poses challenges.
The integration of chatbots into psychiatry introduces a novel approach to support clinical decision-making, but biases in their recommendations pose significant concerns. This study investigates potential biases in chatbot-generated recommendations ...
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