AIMC Topic: Deep Learning

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Development and evaluation of a deep learning-based system for dental age estimation using the demirjian method on panoramic radiographs.

BMC oral health Jul 16, 2025
BACKGROUND: To develop and evaluate a deep learning-based model for automatic dental age estimation using the Demirjian method on panoramic radiographs, and to compare its performance with the traditional manual approach.
Radiography, Panoramic Age Determination by Teeth Humans Female Male Deep Learning Adolescent Child
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Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

Scientific reports Jul 16, 2025
To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruction (DLR) using SilverBeam filter and standard dose with iterative reconstruction (IR) in abdominopelvic CT. In total, 182 patients (mean age ± stand...
Radiography, Abdominal Humans Tomography, X-Ray Computed Female Pelvis Middle Aged Radiographic Image Interpretation, Computer-Assisted Abdomen Deep Learning Radiation Dosage Image Processing, Computer-Assisted Silver Aged Adult Male
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.

Scientific reports Jul 16, 2025
Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology that captures paired microscopic and diffraction images of cellular events, utilizing machine learning for the classification of cell subpopulations. H...
Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Support Vector Machine Saccharomycetales Image Cytometry Flow Cytometry Microscopy Saccharomyces cerevisiae
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Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation.

Scientific reports Jul 16, 2025
Accurate diagnosis and severity estimation of gastrointestinal tract (GT) lesions are crucial for patient care and effective treatment plan decisions. Traditional methods for diagnosing lesions face challenges in accurately estimating severity due to...
Humans Algorithms Deep Learning Severity of Illness Index Gastrointestinal Tract Diagnosis, Computer-Assisted Gastrointestinal Diseases
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Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Scientific reports Jul 16, 2025
Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic challenges due to its reliance on expert assessment and the subtlety of small lesions. Although deep learning has shown promise, its effectiveness is oft...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Diabetic Retinopathy
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In Silico tool for predicting, designing and scanning IL-2 inducing peptides.

Scientific reports Jul 16, 2025
Interleukin-2 (IL-2) based immunotherapy has been approved for treating certain types of cancer, as IL-2 plays a crucial role in regulating the immune system. In this study, we developed a method for predicting IL-2-inducing peptides. Our method was ...
Interleukin-2 Humans Machine Learning Computer Simulation Peptides Deep Learning Computational Biology
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Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR.

Scientific reports Jul 16, 2025
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structures compare...
Aged Adult Male Humans Female Contrast Media Magnetic Resonance Imaging Liver Middle Aged Deep Learning Image Processing, Computer-Assisted Gadolinium DTPA Portal Vein Hepatic Veins
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Deep learning-based high-resolution time inference for deciphering dynamic gene regulation from fixed embryos.

Nature communications Jul 16, 2025
Embryo development is driven by the spatiotemporal dynamics of complex gene regulatory networks. Uncovering these dynamics requires simultaneous tracking of multiple fluctuating molecular species over time, which exceeds the capabilities of tradition...
Gene Expression Regulation, Developmental Embryo, Nonmammalian Gene Regulatory Networks Drosophila melanogaster RNA, Messenger Kruppel-Like Transcription Factors Transcription Factors DNA-Binding Proteins Embryonic Development Drosophila Proteins Animals Deep Learning
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Integrated machine learning and deep learning-based virtual screening framework identifies novel natural GSK-3β inhibitors for Alzheimer's disease.

Journal of computer-aided molecular design Jul 16, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder lacking effective therapies. Glycogen synthase kinase-3β (GSK-3β), a key regulator of Aβ aggregation and Tau hyperphosphorylation, has emerged as a promising therapeutic target. Her...
Humans Machine Learning Alzheimer Disease Protein Kinase Inhibitors Glycogen Synthase Kinase 3 beta Molecular Docking Simulation Deep Learning Biological Products
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Automated multi-model framework for malaria detection using deep learning and feature fusion.

Scientific reports Jul 16, 2025
Malaria remains a critical global health challenge, particularly in tropical and subtropical regions. While traditional methods for diagnosis are effective, they face some limitations related to accuracy, time consumption, and manual effort. This stu...
Deep Learning Humans Support Vector Machine Algorithms Malaria
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