AIMC Topic: Aged, 80 and over
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Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis.
Medical & biological engineering & computing
Oct 10, 2024
PURPOSE: In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in deve...
Real-World evaluation of an AI triaging system for chest X-rays: A prospective clinical study.
European journal of radiology
Oct 10, 2024
Chest X-rays (CXRs) are crucial for diagnosing and managing lung conditions. While CXR is a common and cost-effective diagnostic tool, interpreting the high volume of CXRs is challenging due to workforce limitations. Artificial intelligence (AI) offe...
Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival.
Investigative radiology
Oct 9, 2024
OBJECTIVES: A substantial number of incidental pulmonary embolisms (iPEs) in computed tomography scans are missed by radiologists in their daily routine. This study analyzes the radiological reports of iPE cases before and after implementation of an ...
Machine-Learning-Based Prediction of Photobiomodulation Effects on Older Adults With Cognitive Decline Using Functional Near-Infrared Spectroscopy.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 8, 2024
Transcranial photobiomodulation (tPBM) has been widely studied for its potential to enhance cognitive functions of the elderly. However, its efficacy varies, with some individuals exhibiting no significant response to the treatment. Considering these...
Radial polarisation patterns identify macular damage: a machine learning approach.
Clinical & experimental optometry
Oct 7, 2024
CLINICAL RELEVANCE: Identifying polarisation-modulated patterns may be an effective method for both detecting and monitoring macular damage.
Serum metabolite biomarkers for the early diagnosis and monitoring of age-related macular degeneration.
Journal of advanced research
Oct 5, 2024
INTRODUCTION: Age-related macular degeneration (AMD) is a leading cause of irreversible blindness worldwide, with significant challenges for early diagnosis and treatment.
Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.
Neuroradiology
Oct 5, 2024
PURPOSE: To assess the efficacy of radiomics features extracted from non-contrast computed tomography (NCCT) scans in differentiating multiple etiologies of spontaneous intracerebral hemorrhage (ICH).
Using novel machine learning tools to predict optimal discharge following transcatheter aortic valve replacement.
Archives of cardiovascular diseases
Oct 5, 2024
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This st...
Humans
Neural Networks, Computer
Machine Learning
Decision Support Techniques
Databases, Factual
Retrospective Studies
Clinical Decision-Making
Female
Risk Factors
Aged
Patient Discharge
Transcatheter Aortic Valve Replacement
United States
Treatment Outcome
Aged, 80 and over
Aortic Valve Stenosis
Male
Aortic Valve
Risk Assessment
Predictive Value of Tests
Length of Stay
Time Factors
Clinical Impact of Radiologist's Alert System on Patient Care for High-risk Incidental CT Findings: A Machine Learning-Based Risk Factor Analysis.
Academic radiology
Oct 4, 2024
RATIONALE AND OBJECTIVES: Efficient communication between radiologists and clinicians ordering computed tomography (CT) examinations is crucial for managing high-risk incidental CT findings (ICTFs). Herein, we introduced a Radiologist's Alert and Pat...
Prognostic insights after surgery for advances in understanding signet ring cell gastric cancer: a machine learning approach.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Oct 3, 2024
BACKGROUND: Signet ring cell (SRC) gastric carcinoma is traditionally associated with a poor prognosis. However, the literature has presented contradictory results. Linear models are the standard statistical tools typically used to study these condit...
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