AIMC Topic: Aged

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Automatic bone age assessment: a Turkish population study.

Diagnostic and interventional radiology (Ankara, Turkey) Mar 17, 2025
PURPOSE: Established methods for bone age assessment (BAA), such as the Greulich and Pyle atlas, suffer from variability due to population differences and observer discrepancies. Although automated BAA offers speed and consistency, limited research e...
Female Aged Young Adult Adult Male Humans Algorithms Child Radiography Turkey Age Determination by Skeleton Hand Bones Middle Aged Infant Deep Learning Adolescent Child, Preschool
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Comparing two deep learning spectral reconstruction levels for abdominal evaluation using a rapid-kVp-switching dual-energy CT scanner.

Abdominal radiology (New York) Mar 17, 2025
PURPOSE: Deep Learning Spectral Reconstruction (DLSR) potentially improves dual-energy CT (DECT) image quality, but there is a paucity of research involving human abdominal DECT scans. The purpose of this study was to comprehensively evaluate image q...
Radiography, Abdominal Radiography, Dual-Energy Scanned Projection Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Humans Algorithms Retrospective Studies Tomography, X-Ray Computed
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Artificial intelligence-based incisive canal visualization for preventing and detecting post-implant injury, using cone beam computed tomography.

International journal of oral and maxillofacial surgery Mar 17, 2025
The aim of this study was to clinically validate an artificial intelligence (AI)-based tool for automatic segmentation of the mandibular incisive canal (MIC) on cone beam computed tomography (CBCT), enabling prevention and detection of iatrogenic imp...
Imaging, Three-Dimensional Trigeminal Nerve Injuries Dental Implantation, Endosseous Aged, 80 and over Male Middle Aged Cone-Beam Computed Tomography Humans Artificial Intelligence Female Aged
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Preoperative Assessment of Ki-67 Labeling Index in Pituitary Adenomas Using Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Mar 17, 2025
BACKGROUND: Ki-67 labeling index (Ki-67 LI) is a proliferation marker that is correlated with aggressive behavior and prognosis of pituitary adenomas (PAs). Dynamic contrast-enhanced MRI (DCE-MRI) may potentially contribute to the preoperative assess...
Humans Retrospective Studies Radiomics Male Middle Aged ROC Curve Contrast Media Female Reproducibility of Results Aged Adult Ki-67 Antigen Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Preoperative Care
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Utility of comprehensive genomic profiling combined with machine learning for prognostic stratification in stage II/III colorectal cancer after adjuvant chemotherapy.

International journal of clinical oncology Mar 17, 2025
BACKGROUND AND PURPOSE: Accurate recurrence risk evaluation in patients with stage II and III colorectal cancer (CRC) remains difficult. Traditional histopathological methods frequently fall short in predicting outcomes after adjuvant chemotherapy. T...
Middle Aged Humans Gene Expression Profiling Machine Learning Adult Neoplasm Staging Prognosis Colorectal Neoplasms Neoplasm Recurrence, Local Female Biomarkers, Tumor Chemotherapy, Adjuvant Aged Male
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Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers.

Annals of clinical and translational neurology Mar 17, 2025
OBJECTIVE: Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk-prediction model incorpor...
Biomarkers Female Aged Colorectal Neoplasms Male Middle Aged Postoperative Complications Delirium Emergence Delirium Humans Machine Learning
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Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Neuroradiology Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Cerebrovascular Disorders Image Interpretation, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Magnetic Resonance Angiography Adult Male Middle Aged Deep Learning Imaging, Three-Dimensional Humans Retrospective Studies Female Aged
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Leveraging Artificial Intelligence as a Safety Net for Incidentally Identified Lung Nodules at a Tertiary Center.

Journal of the American College of Surgeons Mar 17, 2025
BACKGROUND: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on the det...
Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Electronic Health Records Tertiary Care Centers Female Incidental Findings Aged Safety-net Providers Male Middle Aged Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Natural Language Processing
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Tlalpan 2020 Case Study: Enhancing Uric Acid Level Prediction with Machine Learning Regression and Cross-Feature Selection.

Nutrients Mar 17, 2025
Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health. At physiological levels, it acts as an antioxidant, protecting against oxidative stress. However, excessive uric acid can lead to hyperuricemia, cont...
Cohort Studies Risk Factors Humans Life Style Mexico Aged Machine Learning Hyperuricemia Adult Biomarkers Uric Acid Male Female Middle Aged
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Combining artificial intelligence assisted image segmentation and ultrasound based radiomics for the prediction of carotid plaque stability.

BMC medical imaging Mar 17, 2025
PURPOSE: Utilizing artificial intelligence (AI) technology for the segmentation of plaques on ultrasound images to evaluate the stability of carotid artery plaques and analyze its diagnostic accuracy in differentiating vulnerable plaques from stable ...
Middle Aged ROC Curve Support Vector Machine Aged Humans Ischemic Stroke Carotid Arteries Sensitivity and Specificity Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Artificial Intelligence Radiomics Ultrasonography, Doppler, Color Male Retrospective Studies Carotid Stenosis Female
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