Results 1 to 10 of about 1,364,010 (324)

Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process

BMC Medical Informatics and Decision Making, 2023
Background We are researching, developing, and publishing the clinical decision support system based on learning-to-rank. The main objectives are (1) To support for differential diagnoses performed by internists and general practitioners and (2) To ...
Yasuhiko Miyachi, Osamu Ishii, Keijiro Torigoe   +2 more
doaj   +2 more sources

Evaluating the Perceived Utility of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment Using a Simulation Centre [PDF]

Psychiatry Research, 2021
Aifred is a clinical decision support system (CDSS) that uses artificial intelligence to assist physicians in selecting treatments for major depressive disorder (MDD) by providing probabilities of remission for different treatment options based on ...
Myriam Tanguay-Sela, David Benrimoh, Christina Popescu, Tamara Pérez, Colleen Rollins, Emily Snook, Eryn Lundrigan, Caitrin Armstrong, Kelly Perlman, Robert Fratila, Joseph Mehltretter, Sonia Israel, Monique Champagne, Jerome D. Williams, Jade Simard, Sagar V. Parikh, Jordan F. Karp, Katherine Heller, Outi Mantere, Liliana Gómez Cardona, Gustavo Turecki, Howard C. Margolese   +21 more
openalex   +2 more sources

Fuzzy logic–based clinical decision support system for the evaluation of renal function in post‐Transplant Patients [PDF]

Journal of Evaluation In Clinical Practice, 2019
Objectives In the context of the gradual development of artificial intelligence in health care, the clinical decision support systems (CDSS) play an increasing crucial role in improving the quality of the therapeutic and diagnostic efficiency in health ...
Giovanni Improta, Valeria Mazzella, Donatella Vecchione, Stefania Santini, Maria Triassi   +4 more
openalex   +2 more sources

Predicting COPD Readmission: An Intelligent Clinical Decision Support System [PDF]

Diagnostics
Background: COPD is a chronic disease characterized by frequent exacerbations that require hospitalization, significantly increasing the care burden. In recent years, the use of artificial intelligence-based tools to improve the management of patients ...
Julia López-Canay, Manuel Casal-Guisande, Alberto Pinheira, Rafael Golpe, Alberto Comesaña-Campos, Alberto Fernández-García, Cristina Represas-Represas, Alberto Fernández-Villar   +7 more
doaj   +2 more sources

Clinical decision support systems

Swiss Medical Weekly, 2014
Clinical decision support (CDS) systems link patient data with an electronic knowledge base in order to improve decision-making and computerised physician order entry (CPOE) is a requirement to set up electronic CDS. The medical informatics literature suggests categorising CDS tools into medication dosing support, order facilitators, point-of-care ...
Patrick E. Beeler, David W. Bates, Balthasar L. Hug   +2 more
openalex   +5 more sources

Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation

JMIR Human Factors, 2022
BackgroundPoor usability is a primary cause of unintended consequences related to the use of electronic health record (EHR) systems, which negatively impacts patient safety.
Hwayoung Cho, Gail Keenan, Olatunde O Madandola, Fabiana Cristina Dos Santos, Tamara G R Macieira, Ragnhildur I Bjarnadottir, Karen J B Priola, Karen Dunn Lopez   +7 more
doaj   +2 more sources

Facilitators, barriers, and insights using an HFA‐PEFF‐based clinical decision support system: A proof‐of‐concept study [PDF]

ESC Heart Failure
Background and aims Knowing that heart failure (HF) with preserved ejection fraction (HFpEF) can be difficult to diagnose, a clinical decision support system (CDSS), with functional, morphological and biomarker domains, was built.
Isidora Milosavljević, Ivan Petrović, Aleksandra Ilić, Dragana Dabović, Aleksandra Milovančev, Goran Remer, Vladimir Vuković, Dimitrije Zdravković, Maja Stefanović, Snežana Stojšić, Ana Balenović, Goran Lončar, Snežana Tadić, Milana Jaraković, Snežana Bjelić, Snežana Čemerlić, Marija Bjelobrk, Tatjana Miljković, Andrej Preveden, Milovan Petrović, Srdjan Maletin, Tanja Popov, Vanja Drljević Todić, Mirko Todić, Aleksandra Vulin, Milenko Čanković, Dragica Andrić, Dragoslava Živkov Šaponja, Aleksandar Redžek, Anastazija Stojšić Milosavljević   +29 more
doaj   +2 more sources

“Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment [PDF]

International Conference on Human Factors in Computing Systems, 2021
Artificial intelligence (AI) technology has been increasingly used in the implementation of advanced Clinical Decision Support Systems (CDSS). Research demonstrated the potential usefulness of AI-powered CDSS (AI-CDSS) in clinical decision making ...
Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian   +7 more
semanticscholar   +1 more source

Effective decision support systems in clinical practice and prevention: literature review [PDF]

КардиоСоматика, 2023
Clinical decision support systems (CDSS) often outperform human capabilities for processing a large amount of information, dramatically simplifying the work of specialists and avoiding medical errors.
Artem A. Komkov, Svetlana V. Ryazanova, Vladimir P. Mazaev   +2 more
doaj   +1 more source

Decision support systems in healthcare: systematic review, meta-analysis and prediction, with example of COVID-19

AIMS Bioengineering, 2023
Objective: The objective of this study was to provide an overview of Decision Support Systems (DSS) applied in healthcare used for diagnosis, monitoring, prediction and recommendation in medicine.
Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud   +3 more
doaj   +1 more source