AIMC Topic: Deep Learning

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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

International journal of molecular sciences Mar 8, 2025
Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer's disease (AD). This study...
Male Middle Aged Support Vector Machine Humans Deep Learning Machine Learning Female Biomarkers Cognitive Dysfunction Aged Aged, 80 and over Proteomics
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CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

Respiratory research Mar 8, 2025
BACKGROUND: High altitude pulmonary edema (HAPE) poses a significant medical challenge to individuals ascending rapidly to high altitudes. Hypoxia-induced cellular morphological changes in the alveolar-capillary barrier such as mitochondrial structur...
Altitude Sickness Humans Animals Drug Evaluation, Preclinical Mice Deep Learning Hypertension, Pulmonary A549 Cells
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Prediction of tumor spread through air spaces with an automatic segmentation deep learning model in peripheral stage I lung adenocarcinoma.

Respiratory research Mar 8, 2025
BACKGROUND: To evaluate the clinical applicability of deep learning (DL) models based on automatic segmentation in preoperatively predicting tumor spread through air spaces (STAS) in peripheral stage I lung adenocarcinoma (LUAD).
Male Middle Aged Deep Learning Neoplasm Staging Adenocarcinoma of Lung Lung Neoplasms Predictive Value of Tests Tomography, X-Ray Computed Female Aged Humans Retrospective Studies
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Hand X-rays findings and a disease screening for Turner syndrome through deep learning model.

BMC pediatrics Mar 8, 2025
BACKGROUND: Turner syndrome (TS) is one of the important causes of short stature in girls, but there are cases of misdiagnosis and missed diagnosis in clinical practice. Our aim is to analyze the hand skeletal characteristics of TS patients and estab...
Sensitivity and Specificity Case-Control Studies Deep Learning Humans Retrospective Studies Female ROC Curve Radiography Hand Turner Syndrome Adolescent Child, Preschool Child
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Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography.

BMC gastroenterology Mar 8, 2025
OBJECTIVES: Computed tomography (CT) colonography is increasingly recognized as a valuable modality for diagnosing colorectal lesions, however, the interpretation workload remains challenging for physicians. Deep learning-based artificial intelligenc...
Male Middle Aged Diagnosis, Computer-Assisted Aged Humans Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Deep Learning Colonography, Computed Tomographic Neural Networks, Computer Colorectal Neoplasms Early Detection of Cancer Female
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Comprehensive Raman spectroscopy analysis for differentiating toxic cyanobacteria through multichannel 1D-CNNs and SHAP-based explainability.

Talanta Mar 7, 2025
Cyanobacterial blooms pose significant environmental and public health risks due to the production of toxins that contaminate water sources and disrupt aquatic ecosystems. Rapid and accurate identification of cyanobacterial species is crucial for eff...
Harmful Algal Bloom Cyanobacteria Deep Learning Spectrum Analysis, Raman Neural Networks, Computer
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CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

Japanese journal of radiology Mar 7, 2025
PURPOSE: This is a preliminary analysis of one of the secondary endpoints in the prospective study cohort. The aim of this study is to assess the image quality and diagnostic confidence for lung cancer of CT images generated by using cadmium-zinc-tel...
Female Aged Male Lung Humans Prospective Studies Tomography, X-Ray Computed Tellurium Radiographic Image Interpretation, Computer-Assisted Cadmium Deep Learning Photons Zinc Lung Neoplasms
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MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer's disease diagnosis.

Computer methods and programs in biomedicine Mar 7, 2025
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) significantly threatens community well-being and healthcare resource allocation due to its high incidence and mortality. Therefore, early detection and intervention are crucial for reducing AD-relate...
Humans Neural Networks, Computer Magnetic Resonance Imaging Alzheimer Disease Ensemble Learning Machine Learning Algorithms Deep Learning
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Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach.

Magnetic resonance imaging Mar 7, 2025
OBJECTIVE: To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and to automatically estimate frequency and duration of ureteral jets from the dynamic images.
Healthy Volunteers Urinary Bladder Ureter Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Adult Male Humans
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Deep-learning analysis of greenspace and metabolic syndrome: A street-view and remote-sensing approach.

Environmental research Mar 7, 2025
Evidence linking greenspace exposure to metabolic syndrome (MetS) remains sparse and inconsistent. This exploratory study evaluate the relationship between green visibility index (GVI) and normalized difference vegetation index (NDVI) with MetS preva...
Aged Adult Humans Female Deep Learning Metabolic Syndrome China Male Remote Sensing Technology Middle Aged Prevalence
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