Journal of Artificial Intelligence and Digital Health
Clinical Decision Support Systems
Clinical Decision Support Systems (CDSS) use AI, analytics, and medical knowledge bases to assist healthcare professionals in making accurate and timely clinical decisions. These systems analyze patient data, lab results, symptoms, and medical history to generate alerts, recommendations, and diagnostic insights. CDSS help identify potential drug interactions, suggest treatment options, and flag critical abnormalities. Integrated with EHRs, they improve workflow efficiency and reduce diagnostic errors. By providing evidence-based guidance at the point of care, clinical decision-support systems enhance patient safety, support personalized treatment, and strengthen overall clinical outcomes.
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DOAJ
CrossRef
PubMed
MEDLINE
ResearchBib
OAJI
Sindexs
EBSCO A-Z / Host
OCLC - WorldCat
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Journal Highlights
Artificial Intelligence in Healthcare
Machine Learning and Deep Learning
Medical Imaging and Diagnostics
Predictive Analytics
Digital Health Technologies
Telemedicine and mHealth
Wearable Devices and Remote Monitoring
Health Informatics and EHR
Big Data in Medicine
Robotics and Automation
AI in Drug Discovery
Healthcare Cybersecurity
Smart Hospital Systems
Clinical Decision Support Systems
Natural Language Processing
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