AIMC Topic: Retrospective Studies
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Development of an artificial intelligence model for assisting periodontal therapy decision-making: A retrospective longitudinal cohort study.
Journal of dentistry
Apr 24, 2025
OBJECTIVES: This study aims to develop and validate an artificial intelligence (AI) - driven model to assist periodontal therapy decision-making and minimize tooth loss.
Artificial Delayed-phase Technetium-99m MIBI Scintigraphy From Early-phase Scintigraphy Improves Identification of Hyperfunctioning Parathyroid Lesions in Patients With Hyperparathyroidism.
Clinical nuclear medicine
Apr 24, 2025
PURPOSE: The aim of this study was to generate and validate artificial delayed-phase technetium-99m methoxyisobutylisonitrile scintigraphy (aMIBI) images from early-phase technetium-99m methoxyisobutylisonitrile scintigraphy (eMIBI) images.
Reduction of radiation exposure in chest radiography using deep learning-based noise reduction processing: A phantom and retrospective clinical study.
Radiography (London, England : 1995)
Apr 24, 2025
INTRODUCTION: Intelligent noise reduction (INR), a deep learning-based noise reduction developed by Canon, is used in planar radiography to improve image quality and reduce patient exposure dose. This study aimed to evaluate the reduction of patient ...
Optimising coronary imaging decisions with machine learning: an external validation study.
Open heart
Apr 24, 2025
BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health...
Coronary Stenosis
Electronic Health Records
Humans
Male
Female
Coronary Artery Disease
Reproducibility of Results
Machine Learning
Middle Aged
Netherlands
Aged
Algorithms
Predictive Value of Tests
Sex Factors
Retrospective Studies
Coronary Angiography
Coronary Vessels
Computed Tomography Angiography
Prediction of significant congenital heart disease in infants and children using continuous wavelet transform and deep convolutional neural network with 12-lead electrocardiogram.
BMC pediatrics
Apr 24, 2025
BACKGROUND: Congenital heart disease (CHD) affects approximately 1% of newborns and is a leading cause of mortality in early childhood. Despite the importance of early detection, current screening methods, such as pulse oximetry and auscultation, hav...
Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.
Japanese journal of radiology
Apr 23, 2025
PURPOSE: To investigate whether super-resolution deep learning reconstruction (SR-DLR) of MR myelography-aided evaluations of lumbar spinal stenosis.
Evaluating artificial intelligence performance in medical image analysis: Sensitivity, specificity, accuracy, and precision of ChatGPT-4o on Kellgren-Lawrence grading of knee X-ray radiographs.
The Knee
Apr 23, 2025
BACKGROUND: Recent advancements in artificial intelligence, including ChatGPT, have enabled its application in medical image analysis.This study aimed to evaluate the sensitivity and specificity of ChatGPT in assessing knee osteoarthritis (KOA) radio...
Impact of CT reconstruction algorithms on pericoronary and epicardial adipose tissue attenuation.
European journal of radiology
Apr 23, 2025
OBJECTIVE: This study aims to investigate the impact of adaptive statistical iterative reconstruction-Veo (ASIR-V) and deep learning image reconstruction (DLIR) algorithms on the quantification of pericoronary adipose tissue (PCAT) and epicardial adi...
Predictive Analysis of Amyotrophic Lateral Sclerosis Progression and Mortality in a Clinic Cohort From Singapore.
Muscle & nerve
Apr 23, 2025
INTRODUCTION: There is currently no comprehensive Amyotrophic Lateral Sclerosis (ALS) patient database in Singapore comparable to those available in Europe and the United States. We established the Singapore ALS registry (SingALS) to draw meaningful ...
Birth weight prediction using artificial intelligence-based placental assessment from macroscopic photo: a retrospective study.
Placenta
Apr 23, 2025
BACKGROUND: This study aimed to predict newborn birth weight through multifactorial analysis of macroscopic placental images using artificial intelligence (AI).
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