Results 91 to 100 of about 291,282 (331)
Patients' attitudes to analgesics and expectations of emergency care : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University, Palmerston North, New Zealand [PDF]
, 2009 Alleviating pain and suffering has long been a goal of health professionals. Pain has been shown to be one of the leading reasons that patients present to emergency departments (ED) throughout the world and the use of analgesics in ED's has been ...
Lemow, Jolanda Jozefa
core
Paediatric rare diseases: Can large language models assist off‐label prescribing?
British Journal of Clinical Pharmacology, EarlyView.Aims To evaluate the effectiveness and reliability of large language models (LLMs) in retrieving and synthesizing biomedical information to support off‐label drug prescribing in paediatric rare diseases, and to compare their performance with human‐authored references in terms of scientific rationale, adverse events and drug interactions.
Anna Flamigni +3 more
wiley +1 more source
Criminal Behaviour and Mental Health, EarlyView.ABSTRACT Background With a rising prison population, a substantial portion of whom are identified as substance misusers, it is important to understand the availability of treatment pathways, their successes and areas for improvement. Given the likely importance of national factors in criminal justice and substance use service provision, we chose to ...
Kim Barnett +9 more
wiley +1 more source
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
Danielle M. Dick, Jehannine (J9) Austin
wiley +1 more source
Using AI in My Disputes? Clients' Perception and Acceptance of Using AI in Mediation
Conflict Resolution Quarterly, EarlyView.ABSTRACT This study explores how potential mediation clients perceive and accept mediators using AI in their disputes through the Unified Theory of Acceptance and Use of Technology (UTAUT). Based on 12 semi‐structured interviews, this research identifies three critical factors influencing participants' acceptance: (1) the specific tasks and processes ...
Yeju Choi
wiley +1 more source
Cytometry Part B: Clinical Cytometry, EarlyView.Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski +10 more
wiley +1 more source
Journal of Perinatal Education, 2009 In this column, a childbirth educator humorously discusses the perils of automated voice-recognition phone systems.
openaire +2 more sources
Cytometry Part B: Clinical Cytometry, EarlyView.ABSTRACT Anticipating the evolution of septic patients with community‐acquired pneumonia (CAP) is challenging for front‐line physicians in the Emergency Department (ED). Prognosis depends mainly on early identification, antibiotics, organ support, but also immune status.
Thomas Lafon +4 more
wiley +1 more source
, 2011 BACKGROUND: The importance of assessing the accuracy of health economic decision models is widely recognized. Many applied decision models (implicitly) assume that the process of identifying relevant values for a model's input parameters is sufficient to
Karnon, Jonathan, Vanni, Tazio
core +1 more source