AIMC Topic: Middle Aged

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AI-augmented differential diagnosis of granulomatous rosacea and lupus miliaris disseminatus faciei: A 23-year retrospective pilot study.

PloS one Jun 30, 2025
Granulomatous rosacea (GR) and lupus miliaris disseminatus faciei (LMDF) exhibit overlapping clinical features, making their differentiation challenging. While histopathological examination remains the gold standard, it is invasive and time-consuming...
Adult Male Middle Aged Pilot Projects Diagnosis, Differential Female Rosacea Reproducibility of Results Aged Young Adult Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies
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Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account.

PloS one Jun 30, 2025
BACKGROUND: Rare diseases often present with a variety of clinical symptoms and therefore are challenging to diagnose. Fabry disease is an x-linked rare metabolic disorder. The severity of symptoms is usually different in men and women. Since therape...
Male Humans Middle Aged Artificial Intelligence Algorithms ROC Curve Female Quality of Life Data Mining Aged Fabry Disease Surveys and Questionnaires Sex Factors Adult Rare Diseases
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Deep learning models for predicting hearing thresholds based on joint stimulus-frequency otoacoustic emissions and distortion-product otoacoustic emissions.

Hearing research Jun 29, 2025
According to the dual-source generation hypothesis, stimulus-frequency otoacoustic emissions (SFOAEs) and distortion-product OAEs (DPOAEs) arise from different cochlear mechanisms, and both are capable of characterizing hearing loss. However, their j...
Humans Neural Networks, Computer Female Reproducibility of Results Aged Audiometry, Pure-Tone Young Adult Hearing Adult Auditory Threshold Cochlea Otoacoustic Emissions, Spontaneous Hearing Loss, Sensorineural Adolescent Male Predictive Value of Tests Middle Aged Signal Processing, Computer-Assisted Case-Control Studies Acoustic Stimulation Deep Learning
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Deep Learning-Based Automated Detection of the Middle Cerebral Artery in Transcranial Doppler Ultrasound Examinations.

Ultrasound in medicine & biology Jun 29, 2025
OBJECTIVE: Transcranial Doppler (TCD) ultrasound has significant clinical value for assessing cerebral hemodynamics, but its reliance on operator expertise limits broader clinical adoption. In this work, we present a lightweight real-time deep learni...
Humans Female Adult Middle Cerebral Artery Ultrasonography, Doppler, Transcranial Male Middle Aged Deep Learning Stroke
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Comparative analysis of machine learning-derived nomogram and biomarkers in predicting side-specific extraprostatic extension: Preliminary findings.

Clinical imaging Jun 28, 2025
AIM: This study aimed to assess and compare the performance of nomograms and machine learning (ML) techniques using preoperative biomarkers for predicting side-specific extraprostatic extension (EPE) in prostate cancer, which is linked to poor outcom...
Prostate-Specific Antigen Positron-Emission Tomography Prostatectomy Nomograms Magnetic Resonance Imaging Predictive Value of Tests Prostatic Neoplasms Aged Biomarkers, Tumor Male Middle Aged Humans Machine Learning Retrospective Studies
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Evaluation of meibomian gland dysfunction with deep learning model considering different datasets and gland morphology.

Computers in biology and medicine Jun 28, 2025
Meibomian gland dysfunction (MGD) is recognized as the primary cause of evaporative-type dry eye disease (DED). Diagnosis typically involves assessing meibomian gland (MG) morphology alongside symptom evaluation. Traditionally, experts manually grade...
Humans Databases, Factual Female Meibomian Gland Dysfunction Aged Deep Learning Image Processing, Computer-Assisted Adult Dry Eye Syndromes Male Meibomian Glands Middle Aged
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Classification of knee osteoarthritis severity using markerless motion capture and long short-term memory fully convolutional network.

Computers in biology and medicine Jun 28, 2025
This study explored the integration of markerless motion capture and deep learning to classify knee osteoarthritis severity based on gait kinematics, providing an alternative to traditional assessment methods. We employed a Long Short-Term Memory Ful...
Deep Learning Gait Osteoarthritis, Knee Motion Capture Humans Neural Networks, Computer Aged Male Female Biomechanical Phenomena Middle Aged Severity of Illness Index
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Early detection of Alzheimer's disease using small RNAs. Results from the EPAD cohort.

The journal of prevention of Alzheimer's disease Jun 28, 2025
BACKGROUND: Alzheimer's disease (AD) is the most common form of dementia, and early diagnosis is crucial to enable effective interventions. Currently, Alzheimer's disease is diagnosed through cognitive assessments, brain imaging and fluid biomarkers ...
Humans Prospective Studies Biomarkers Female Cohort Studies Amyloid beta-Peptides Alzheimer Disease Early Diagnosis tau Proteins Aged Male Middle Aged Cognitive Dysfunction
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The diagnostic model from semi-supervised cross modality transformation improved the distinguished ability of X-rays for pulmonary tuberculosis.

Clinical radiology Jun 27, 2025
BACKGROUND: Early diagnosis of tuberculosis is particularly difficult in resource-poor areas. Traditional chest X-rays (CXR) have limited accuracy, while CT scans are costly and involve radiation exposure. The study aims to improve the diagnostic acc...
Radiography, Thoracic Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary Adult Sensitivity and Specificity Male Humans Middle Aged Artificial Intelligence Tomography, X-Ray Computed Female
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Explainable classification of Parkinson's disease with different motor subtypes by analyzing the synthetic MRI quantitative parameters of subcortical nuclei.

European journal of radiology Jun 27, 2025
OBJECTIVES: To explore differences in quantitative parameters of subcortical nuclei using synthetic MRI across different motor subtypes of Parkinson's Disease (PD), and to develop an interpretable model for distinguishing PD subtypes.
Image Interpretation, Computer-Assisted Middle Aged Support Vector Machine Magnetic Resonance Imaging Parkinson Disease Humans Female Reproducibility of Results Aged Male
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