AIMC Topic: Quality Improvement
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Improving image quality and diagnostic performance using deep learning image reconstruction in 100-kVp CT enterography for patients with wide-range body mass index.
European journal of radiology
Aug 1, 2025
OBJECTIVE: To assess the clinical value of the deep learning image reconstruction (DLIR) algorithm compared with conventional adaptive statistical iterative reconstruction-Veo (ASiR-V) in image quality, diagnostic confidence, and intestinal lesion de...
Aged
Aged, 80 and over
Adult
Sensitivity and Specificity
Tomography, X-Ray Computed
Female
Reproducibility of Results
Radiographic Image Interpretation, Computer-Assisted
Quality Improvement
Signal-To-Noise Ratio
Intestinal Diseases
Male
Middle Aged
Deep Learning
Body Mass Index
Humans
Algorithms
Retrospective Studies
Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.
JAMA network open
May 1, 2025
IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.
Evaluation of AI Summaries on Interdisciplinary Understanding of Ophthalmology Notes.
JAMA ophthalmology
May 1, 2025
IMPORTANCE: Specialized ophthalmology terminology limits comprehension for nonophthalmology clinicians and professionals, hindering interdisciplinary communication and patient care. The clinical implementation of large language models (LLMs) into pra...
Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the National Quality Improvement Program Database Using Machine Learning.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
May 1, 2025
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database to predict prolonged operative time (POT) for rotator cuff repair (RCR), as well as use the trained machine l...
Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models.
Radiology
Feb 1, 2025
Background Incomplete clinical histories are a well-known problem in radiology. Previous dedicated quality improvement efforts focusing on reproducible assessments of the completeness of free-text clinical histories have relied on tedious manual anal...
Ambient artificial intelligence scribes: utilization and impact on documentation time.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: To quantify utilization and impact on documentation time of a large language model-powered ambient artificial intelligence (AI) scribe.
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: To assess the potential to adapt an existing technology regulatory model, namely the Clinical Laboratory Improvement Amendments (CLIA), for clinical artificial intelligence (AI).
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.
Improving precision instrument cleaning with a quality control module: implementation and outcomes.
Frontiers in public health
Jan 1, 2025
OBJECTIVE: To evaluate the effectiveness of a cleaning quality control module integrated into a hospital's Disinfection Supply Center (DSC) for improving the cleaning quality of precision surgical instruments.
[THE SURGICAL INTELLIGENCE REVOLUTION - APPLYING AI TO IMPROVE SURGICAL QUALITY AND SAFETY].
Harefuah
Dec 1, 2024
The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel AI-based technologies being deployed to aid clinical teams in areas like interpreting medical images, understanding pathology, determining diagnosis, ...
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