An overview of clinical decision support systems: benefits, risks, and strategies for success

RT Sutton, D Pincock, DC Baumgart… - NPJ digital …, 2020 - nature.com
Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …

The application of medical artificial intelligence technology in rural areas of developing countries

J Guo, B Li - Health equity, 2018 - liebertpub.com
Background: Artificial intelligence (AI) is a rapidly developing computer technology that has
begun to be widely used in the medical field to improve the professional level and efficiency …

Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review

H Ahmadi, M Gholamzadeh, L Shahmoradi… - Computer Methods and …, 2018 - Elsevier
Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …

Developing and using expert systems and neural networks in medicine: a review on benefits and challenges

A Sheikhtaheri, F Sadoughi… - Journal of medical …, 2014 - Springer
Complicacy of clinical decisions justifies utilization of information systems such as artificial
intelligence (eg expert systems and neural networks) to achieve better decisions, however …

Characteristics of complex systems in sports injury rehabilitation: examples and implications for practice

KK Yung, CL Ardern, FR Serpiello, S Robertson - Sports medicine-open, 2022 - Springer
Complex systems are open systems consisting of many components that can interact among
themselves and the environment. New forms of behaviours and patterns often emerge as a …

Association of disparities in family history and family cancer history in the electronic health record with sex, race, Hispanic or Latino ethnicity, and language preference …

D Chavez-Yenter, MS Goodman, Y Chen… - JAMA network …, 2022 - jamanetwork.com
Importance Clinical decision support (CDS) algorithms are increasingly being implemented
in health care systems to identify patients for specialty care. However, systematic differences …

A systematic review of technologies and standards used in the development of rule-based clinical decision support systems

P Papadopoulos, M Soflano, Y Chaudy, W Adejo… - Health and …, 2022 - Springer
Abstract A Clinical Decision Support System (CDSS) is a technology platform that uses
medical knowledge with clinical data to provide customised advice for an individual patient's …

Explainable artificial intelligence (XAI) in medical decision support systems (MDSS): applicability, prospects, legal implications, and challenges

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult because of the …

Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care

L Hernandez, R Kim, N Tokcan, H Derksen… - Artificial Intelligence in …, 2021 - Elsevier
Patients recovering from cardiovascular surgeries may develop life-threatening
complications such as hemodynamic decompensation, making the monitoring of patients for …

[HTML][HTML] Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care …

M Fernando, B Abell, Z Tyack, T Donovan… - Journal of Medical …, 2023 - jmir.org
Background Computerized clinical decision support systems (CDSSs) are essential
components of modern health system service delivery, particularly within acute care settings …