AIMC Topic: Decision Support Systems, Clinical
Clear Filters Showing 81 to 90 of 741 articles
Clinical Decision Support and Natural Language Processing in Medicine: Systematic Literature Review.
Journal of medical Internet research
Sep 30, 2024
BACKGROUND: Ensuring access to accurate and verified information is essential for effective patient treatment and diagnosis. Although health workers rely on the internet for clinical data, there is a need for a more streamlined approach.
Aliado - A design concept of AI for decision support in oncological liver surgery.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Sep 29, 2024
BACKGROUND: The interest in artificial intelligence (AI) is increasing. Systematic reviews suggest that there are many machine learning algorithms in surgery, however, only a minority of the studies integrate AI applications in clinical workflows. Ou...
A large language model-based clinical decision support system for syncope recognition in the emergency department: A framework for clinical workflow integration.
European journal of internal medicine
Sep 28, 2024
Differentiation of syncope from transient loss of consciousness can be challenging in the emergency department (ED). Natural Language Processing (NLP) enables the analysis of free text in the electronic medical records (EMR). The present paper aimed ...
Integrating Social Determinants of Health in Machine Learning-Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study.
JMIR research protocols
Sep 25, 2024
BACKGROUND: The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes.
Integrating large language models in care, research, and education in multiple sclerosis management.
Multiple sclerosis (Houndmills, Basingstoke, England)
Sep 23, 2024
Use of techniques derived from generative artificial intelligence (AI), specifically large language models (LLMs), offer a transformative potential on the management of multiple sclerosis (MS). Recent LLMs have exhibited remarkable skills in producin...
Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System.
Journal of medical systems
Sep 18, 2024
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologies. AI-assisted clinical decision support (CDS) integrated into electronic health records (EHR) was demonstrated to have a signi...
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning.
BMC medical informatics and decision making
Sep 16, 2024
BACKGROUND: The population diagnosed with renal cell carcinoma, especially in Asia, represents 36.6% of global cases, with the incidence rate of renal cell carcinoma in Korea steadily increasing annually. However, treatment options for renal cell car...
Artificial Intelligence-Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review.
Journal of medical Internet research
Sep 16, 2024
BACKGROUND: Despite the emerging application of clinical decision support systems (CDSS) in pregnancy care and the proliferation of artificial intelligence (AI) over the last decade, it remains understudied regarding the role of AI in CDSS specialize...
Artificial intelligence-clinical decision support system for enhanced infectious disease management: Accelerating ceftazidime-avibactam resistance detection in Klebsiella pneumoniae.
Journal of infection and public health
Sep 10, 2024
BACKGROUND: Effective and rapid diagnostic strategies are required to manage antibiotic resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence-clinical decision support system (AI-CDSS) using matrix-assisted la...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Azabicyclo Compounds
Ceftazidime
Klebsiella Infections
Drug Combinations
Humans
Artificial Intelligence
Machine Learning
Anti-Bacterial Agents
Drug Resistance, Multiple, Bacterial
Microbial Sensitivity Tests
Decision Support Systems, Clinical
Klebsiella pneumoniae
A machine-learning based model for automated recommendation of individualized treatment of rifampicin-resistant tuberculosis.
PloS one
Sep 6, 2024
BACKGROUND: Rifampicin resistant tuberculosis remains a global health problem with almost half a million new cases annually. In high-income countries patients empirically start a standardized treatment regimen, followed by an individualized regimen g...
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