AIMC Topic: Humans

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Artificial intelligence-based assessment of leg axis parameters shows excellent agreement with human raters: A systematic review and meta-analysis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 21, 2024
PURPOSE: The aim of this study was to conduct a systematic review and meta-analysis on the reliability and applicability of artificial intelligence (AI)-based analysis of leg axis parameters. We hypothesized that AI-based leg axis measurements would ...
Humans Artificial Intelligence Tibia Hip Joint Femur Leg Reproducibility of Results Radiography Knee Joint
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ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.

Acta anaesthesiologica Scandinavica Jul 21, 2024
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU) is of potential benefit to both patients and society. Logistic regression models like Simplified Acute Physiology Score 3 (SAPS 3) and APACHE are th...
Registries Simplified Acute Physiology Score Aged, 80 and over Adult Male Hospital Mortality Logistic Models Middle Aged Risk Assessment Female Sweden Aged Humans Machine Learning Intensive Care Units
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Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma sam...
Spectroscopy, Near-Infrared Humans Lung Neoplasms Machine Learning Female Early Detection of Cancer Support Vector Machine Algorithms Male Aged Least-Squares Analysis Middle Aged Adult Case-Control Studies
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Self-organizing maps for exploration and classification of nuclear magnetic resonance spectra for untargeted metabolomics of breast cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Metabolomics has emerged as a powerful tool for identifying biomarkers of disease, and nuclear magnetic resonance (NMR) spectroscopy allows for the simultaneous detection of a wide range of metabolites. However, due to complex interactions within met...
Magnetic Resonance Spectroscopy Proton Magnetic Resonance Spectroscopy Middle Aged Case-Control Studies Neural Networks, Computer Sensitivity and Specificity Metabolomics Breast Neoplasms Algorithms Female Biomarkers, Tumor Adult Humans
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A deep learning approach to detection of oral cancer lesions from intra oral patient images: A preliminary retrospective study.

Journal of stomatology, oral and maxillofacial surgery Jul 21, 2024
INTRODUCTION: Oral squamous cell carcinomas (OSCC) seen in the oral cavity are a category of diseases for which dentists may diagnose and even cure. This study evaluated the performance of diagnostic computer software developed to detect oral cancer ...
Humans Carcinoma, Squamous Cell Sensitivity and Specificity Retrospective Studies Female Male Deep Learning Mouth Neoplasms
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A decision support system for the detection of cutaneous fungal infections using artificial intelligence.

Pathology, research and practice Jul 21, 2024
Cutaneous fungal infections are one of the most common skin conditions, hence, the burden of determining fungal elements upon microscopic examination with periodic acid-Schiff (PAS) and Gomori methenamine silver (GMS) stains, is very time consuming. ...
Humans Decision Support Systems, Clinical Biopsy Artificial Intelligence Dermatomycoses Female
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Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.

Computers in biology and medicine Jul 21, 2024
In the field of histopathology, many studies on the classification of whole slide images (WSIs) using artificial intelligence (AI) technology have been reported. We have studied the disease progression assessment of glioma. Adult-type diffuse gliomas...
Brain Neoplasms Male Middle Aged Mutation Humans Isocitrate Dehydrogenase Deep Learning Female Glioma Adult
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A systematic review of deep learning-based spinal bone lesion detection in medical images.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
Spinal bone lesions encompass a wide array of pathologies, spanning from benign abnormalities to aggressive malignancies, such as diffusely localized metastases. Early detection and accurate differentiation of the underlying diseases is crucial for e...
Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Spine Humans Spinal Neoplasms
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Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
BACKGROUND: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.
Radiography, Dual-Energy Scanned Projection Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Signal-To-Noise Ratio Adult Radiography, Abdominal Deep Learning Image Processing, Computer-Assisted Male Retrospective Studies Middle Aged Humans Tomography, X-Ray Computed Algorithms Female
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Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta-analysis.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jul 21, 2024
BACKGROUND AND PURPOSE: Early and reliable prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) is crucial for treatment decisions and early intervention. The purpose of this study was to conduct a systematic rev...
Artificial Intelligence Machine Learning Cerebral Hemorrhage Humans Ischemic Stroke Neuroimaging
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