AIMC Topic: Aged
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Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.
Hepatology (Baltimore, Md.)
Oct 8, 2024
BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in cirrhosis research, but it is often inaccurate and augmented by labor-intensive chart review. Natural language processing using large language models (...
Development and validation of the PHM-CPA model to predict in-hospital mortality for cirrhotic patients with acute kidney injury.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Oct 8, 2024
BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality risk for cirrhotic patients. Early prognosis prediction for these patients is crucial. We aimed to develop and validate a machine learning model for i...
Clinicopathological features for the prediction of immunosuppressive treatment responses in sarcoidosis-related kidney involvement: a single-center retrospective study.
Turkish journal of medical sciences
Oct 8, 2024
BACKGROUND/AIM: Sarcoidosis is a multisystem disorder that affects many organs, including the kidneys. This single-center retrospective study investigated the clinical, pathological, and laboratory findings of patients with kidney sarcoidosis who wer...
Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.
Journal of cardiovascular computed tomography
Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Vascular Calcification
Phantoms, Imaging
Computed Tomography Angiography
Radiographic Image Interpretation, Computer-Assisted
Humans
Retrospective Studies
Middle Aged
Female
Severity of Illness Index
Reproducibility of Results
Deep Learning
Aged
Predictive Value of Tests
Male
Coronary Artery Disease
Coronary Angiography
Coronary Vessels
Multidetector Computed Tomography
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.
Perceived Impact of COVID-19 in an Underserved Community: A Natural Language Processing Approach.
Journal of advanced nursing
Oct 7, 2024
AIM: To utilise natural language processing (NLP) to analyse interviews about the impact of COVID-19 in underserved communities and to compare it to traditional thematic analysis in a small subset of interviews.
Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography.
Endocrine
Oct 7, 2024
PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge in accurately distinguishing between benign and malignant cases. This study aimed to investigate the diagnostic performance of different strategies, ...
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.
The international journal of cardiovascular imaging
Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Male
Middle Aged
Asymptomatic Diseases
Severity of Illness Index
Computed Tomography Angiography
Predictive Value of Tests
Humans
Radiographic Image Interpretation, Computer-Assisted
Coronary Stenosis
Coronary Angiography
Artificial Intelligence
Coronary Artery Disease
Fractional Flow Reserve, Myocardial
Prospective Studies
Running
Reproducibility of Results
Athletes
Aged
Coronary Vessels
Prediction and validation of pathologic complete response for locally advanced rectal cancer under neoadjuvant chemoradiotherapy based on a novel predictor using interpretable machine learning.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Oct 6, 2024
BACKGROUND: Precise evaluation of pathological complete response (pCR) is essential for determining the prognosis of patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (NCRT) and can offer clues for the selec...
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