Results 21 to 30 of about 1,928,942 (329)

Artificial intelligence in clinical decision support systems for oncology

open access: yesInternational Journal of Medical Sciences, 2023
Artificial intelligence (AI) has been widely used in various medical fields, such as image diagnosis, pathological classification, selection of treatment schemes, and prognosis analysis.
Lu Wang   +6 more
semanticscholar   +1 more source

Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review

open access: yesFrontiers of Computer Science, 2023
Introduction Artificial intelligence (AI) technologies are increasingly applied to empower clinical decision support systems (CDSS), providing patient-specific recommendations to improve clinical work. Equally important to technical advancement is human,
Liuping Wang   +8 more
semanticscholar   +1 more source

Implementation effort: Reducing the ordering of inappropriate echocardiograms through a point-of-care decision support tool

open access: yesAmerican Heart Journal Plus, 2022
Study objective: Reduce inappropriate transthoracic echocardiograms (TTEs) using a series of Plan-Do-Study-Act (PDSA) quality improvement cycles. Design: Three PDSA cycles were designed with the first integrating a previously published decision support ...
Hassan Ashraf   +3 more
doaj   +1 more source

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

open access: yesApplied Sciences, 2021
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and future potential for transforming almost all aspects of medicine.
A. Antoniadi   +6 more
semanticscholar   +1 more source

Examining explainable clinical decision support systems with think aloud protocols

open access: yesPLoS ONE, 2023
Machine learning tools are increasingly used to improve the quality of care and the soundness of a treatment plan. Explainable AI (XAI) helps users in understanding the inner mechanisms of opaque machine learning models and is a driver of trust and ...
Sabrina G. Anjara   +7 more
doaj   +2 more sources

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

open access: yesPLOS Digital Health, 2022
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete use ...
J. Amann   +13 more
semanticscholar   +1 more source

Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems

open access: yesInternational Conference on Human Factors in Computing Systems, 2022
The field of eXplainable Artificial Intelligence (XAI) focuses on providing explanations for AI systems’ decisions. XAI applications to AI-based Clinical Decision Support Systems (DSS) should increase trust in the DSS by allowing clinicians to ...
Cecilia Panigutti   +3 more
semanticscholar   +1 more source

Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems

open access: yesAI and Ethics, 2022
Good decision-making is a complex endeavor, and particularly so in a health context. The possibilities for day-to-day clinical practice opened up by AI-driven clinical decision support systems (AI-CDSS) give rise to fundamental questions around ...
Hannah Bleher, Matthias Braun
semanticscholar   +1 more source

Status of AI-enabled Clinical Decision Support Systems Clinical Implementations in China

open access: yes, 2020
The authors have withdrawn this preprint due to author disagreement.
Mengting Ji   +5 more
semanticscholar   +1 more source

REVIEW OF METHODS FOR DESIGNING CLINICAL DECISION SUPPORT SYSTEMS

open access: yesМодели, системы, сети в экономике, технике, природе и обществе, 2022
Background. This study is devoted to the review of methods for designing medical decision support systems. Materials and methods. The main source of information was the Russian scientific electronic library elibrary and international databases of ...
K.M. Demushkina   +2 more
doaj   +1 more source

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