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An overview of clinical decision support systems: benefits, risks, and strategies for success
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 …
healthcare today. CDSS are used to augment clinicians in their complex decision-making …
The role of artificial intelligence in improving patient outcomes and future of healthcare delivery in cardiology: a narrative review of the literature
D Gala, H Behl, M Shah, AN Makaryus - Healthcare, 2024 - mdpi.com
Cardiovascular diseases exert a significant burden on the healthcare system worldwide.
This narrative literature review discusses the role of artificial intelligence (AI) in the field of …
This narrative literature review discusses the role of artificial intelligence (AI) in the field of …
[HTML][HTML] Patient satisfaction and trust in telemedicine during the COVID-19 pandemic: retrospective observational study
S Orrange, A Patel, WJ Mack… - JMIR human factors, 2021 - humanfactors.jmir.org
Background Los Angeles County is a hub for COVID-19 cases in the United States.
Academic health centers rapidly deployed and leveraged telemedicine to permit …
Academic health centers rapidly deployed and leveraged telemedicine to permit …
Human-centered tools for co** with imperfect algorithms during medical decision-making
Machine learning (ML) is increasingly being used in image retrieval systems for medical
decision making. One application of ML is to retrieve visually similar medical images from …
decision making. One application of ML is to retrieve visually similar medical images from …
Challenges and opportunities beyond structured data in analysis of electronic health records
Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …
patients and the whole population. Besides structured data, unstructured data in EHRs can …
“Brilliant AI doctor” in rural clinics: challenges in AI-powered clinical decision support system deployment
Artificial intelligence (AI) technology has been increasingly used in the implementation of
advanced Clinical Decision Support Systems (CDSS). Research demonstrated the potential …
advanced Clinical Decision Support Systems (CDSS). Research demonstrated the potential …
Designing AI for trust and collaboration in time-constrained medical decisions: a sociotechnical lens
Major depressive disorder is a debilitating disease affecting 264 million people worldwide.
While many antidepressant medications are available, few clinical guidelines support …
While many antidepressant medications are available, few clinical guidelines support …
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …
remarkable performance in providing medical professionals and patients with support for …
[HTML][HTML] Clinical decision support models and frameworks: seeking to address research issues underlying implementation successes and failures
Computer-based clinical decision support (CDS) has been pursued for more than five
decades. Despite notable accomplishments and successes, wide adoption and broad use of …
decades. Despite notable accomplishments and successes, wide adoption and broad use of …
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
In this research, we take an HCI perspective on the opportunities provided by AI techniques
in medical imaging, focusing on workflow efficiency and quality, preventing errors and …
in medical imaging, focusing on workflow efficiency and quality, preventing errors and …