AIMC Topic: Quality Improvement
Clear Filters Showing 161 to 170 of 194 articles
Artificial Intelligence for Quality Improvement in Radiology.
Radiologic clinics of North America
Nov 1, 2021
Artificial intelligence (AI) and informatics promise to improve the quality and efficiency of diagnostic radiology but will require substantially more standardization and operational coordination to realize and measure those improvements. As radiolog...
Improving reference standards for validation of AI-based radiography.
The British journal of radiology
Jul 1, 2021
OBJECTIVE: Demonstrate the importance of combining multiple readers' opinions, in a context-aware manner, when establishing the reference standard for validation of artificial intelligence (AI) applications for, chest radiographs. By comparing indiv...
Improving the delivery of palliative care through predictive modeling and healthcare informatics.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
OBJECTIVE: Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address...
Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy.
Spine
May 15, 2021
STUDY DESIGN: Retrospective, case-control.
Challenges of developing artificial intelligence-assisted tools for clinical medicine.
Journal of gastroenterology and hepatology
Feb 1, 2021
Machine learning, a subset of artificial intelligence (AI), is a set of computational tools that can be used to enhance provision of clinical care in all areas of medicine. Gastroenterology and hepatology utilize multiple sources of information, incl...
Artificial intelligence in pancreaticobiliary endoscopy.
Journal of gastroenterology and hepatology
Jan 1, 2021
Artificial intelligence (AI) applications in health care have exponentially increased in recent years, and a few of these are related to pancreatobiliary disorders. AI-based methods were applied to extract information, in prognostication, to guide cl...
Artificial intelligence in gastrointestinal endoscopy.
Journal of gastroenterology and hepatology
Jan 1, 2021
Potentials of AI in medical image analysis in Gastroenterology and Hepatology.
Journal of gastroenterology and hepatology
Jan 1, 2021
With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastroenterology and hepatology, being a specialty relying much on diagnostic imaging, endoscopy, and hist...
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.
Journal of the American Medical Informatics Association : JAMIA
Dec 9, 2020
Accumulating evidence demonstrates the impact of bias that reflects social inequality on the performance of machine learning (ML) models in health care. Given their intended placement within healthcare decision making more broadly, ML tools require a...
Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.
Medicine
Nov 20, 2020
We have developed a deep learning-based approach to improve image quality of single-shot turbo spin-echo (SSTSE) images of female pelvis. We aimed to compare the deep learning-based single-shot turbo spin-echo (DL-SSTSE) images of female pelvis with ...
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