AIMC Topic: Decision Support Systems, Clinical
Clear Filters Showing 161 to 170 of 741 articles
Deep learning for detection of drug hypersensitivity reactions.
The Journal of allergy and clinical immunology
Mar 16, 2023
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement.
Computer methods and programs in biomedicine
Mar 5, 2023
BACKGROUND AND OBJECTIVE: MRI is considered the gold standard for diagnosing anterior disc displacement (ADD), the most common temporomandibular joint (TMJ) disorder. However, even highly trained clinicians find it difficult to integrate the dynamic ...
Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.
BMJ open
Feb 23, 2023
INTRODUCTION: Artificial intelligence (AI), the simulation of human intelligence processes by machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based clinical decision support (CDS) tools can improve the quality of ...
Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study.
Endoscopy
Feb 8, 2023
BACKGROUND : Deep learning models have previously been established to predict the histopathology and invasion depth of gastric lesions using endoscopic images. This study aimed to establish and validate a deep learning-based clinical decision support...
Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review.
Journal of healthcare engineering
Feb 3, 2023
BACKGROUND: Artificial intelligence (AI) has developed rapidly, and its application extends to clinical decision support system (CDSS) for improving healthcare quality. However, the interpretability of AI-driven CDSS poses significant challenges to w...
Clinician and computer: a study on doctors' perceptions of artificial intelligence in skeletal radiography.
BMC medical education
Jan 10, 2023
BACKGROUND: Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-es...
Digital Health: Today's Solutions and Tomorrow's Impact.
Clinics in laboratory medicine
Jan 9, 2023
Artificial intelligence (AI) is becoming an indispensable tool to augment decision making in different health care settings and by various members of the patient pathway, including the patient. AI provides the ability to optimize data to bring clinic...
Ethical considerations of using artificial intelligence to drive clinical decision support in pediatric medical settings.
Pediatric research
Jan 4, 2023
Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions.
Journal of thrombosis and haemostasis : JTH
Dec 28, 2022
Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life science space and some have also started to integrate certain clinical decision support tasks. However, most of the activities within this space understand...
Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression.
Journal of glaucoma
Dec 21, 2022
PRCIS: We updated a clinical decision support tool integrating predicted visual field (VF) metrics from an artificial intelligence model and assessed clinician perceptions of the predicted VF metric in this usability study.
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