Results 51 to 60 of about 32,727 (270)
BMC Medical Informatics and Decision Making, 2023 Background Artificial intelligence (AI) tools are more effective if accepted by clinicians. We developed an AI-based clinical decision support system (CDSS) to facilitate vancomycin dosing.
Xinyan Liu +7 more
doaj +1 more source
Who Cares? Reading the CDSS for empathy (or lack thereof) [PDF]
, 2023 My Research analyzes the Canadian Drugs and Substances Strategy (CDSS) for the presence of empathy in both policy creation and implementation. Specifically, I argue that the CDSS lacks empathetic engagement with the policy-affected as a symptom of its ...
Rosenfeld, Guy
core
The 5R's of large language model‐assisted diagnosis: A practical framework for hospitalists
Journal of Hospital Medicine, EarlyView.Abstract Diagnostic error remains a major patient safety challenge in hospital medicine. Large language models (LLMs) are increasingly used by clinicians to aid in diagnosis, yet most lack a structured approach for doing so safely and effectively. In this piece, we propose a practical, clinician‐centered framework for LLM‐assisted diagnosis.
Peter Barish +2 more
wiley +1 more source
JPGN Reports, EarlyView.Abstract Objectives Artificial intelligence (AI) has demonstrated potential to enhance clinical efficiency. However, its real‐world adoption among pediatric gastroenterologists (GIs) remains poorly characterized. The primary objective of this study was to assess how pediatric GIs are currently utilizing AI. Secondary objectives included estimating time
Ashwin Agrawal +3 more
wiley +1 more source
Towards effective clinical decision support systems: A systematic review.
PLoS ONE, 2022 BackgroundClinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories ...
Francini Hak +2 more
doaj +1 more source
CDSS-RM: a clinical decision support system reference model
, 2018 Clinical Decision Support Systems (CDSS) provide aid in clinical decision making and therefore need to take into consideration human, data interactions, and cognitive functions of clinical decision makers.
Dimitrios Zikos, Nailya DeLellis
core +1 more source
Startups Driving Artificial Intelligence Into Clinical Dermatology
JEADV Clinical Practice, EarlyView.ABSTRACT Artificial intelligence (AI) is rapidly transitioning from innovation to routine clinical application in dermatology. This review examines how AI‐enabled technologies are being developed and integrated across diverse clinical purposes and workflows.
Dominique Du Crest +10 more
wiley +1 more source
We developed the SupportPrim PT clinical decision support system (CDSS) using the artificial intelligence method case-based reasoning to support personalised musculoskeletal pain management.
Granviken, Fredrik +7 more
core +1 more source
Leveraging Artificial Intelligence for Enhanced Clinical Decision Support Systems (CDSS) [PDF]
The integration of Artificial Intelligence (AI) into healthcare is driven by digitalization, aiming to enhance early disease diagnosis and treatment. Effective digital transformation in healthcare relies on assessing AI's potential and ensuring seamless ...
Muthu Prasanna P +4 more
core +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source