AIMC Topic: Magnetic Resonance Imaging

Clear Filters Showing 111 to 120 of 6481 articles

Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer.

Journal of translational medicine Jul 10, 2025
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy has significant clinical utility in the management of breast cancer treatment. Although multimodal deep learning models have shown promise for predict...
Treatment Outcome Magnetic Resonance Imaging Attention Breast Neoplasms Middle Aged Deep Learning Humans Female Reproducibility of Results Adult
View on PubMed DOI

PediMS: A Pediatric Multiple Sclerosis Lesion Segmentation Dataset.

Scientific data Jul 10, 2025
Multiple Sclerosis (MS) is a chronic autoimmune disease that primarily affects the central nervous system and is predominantly diagnosed in adults, making pediatric cases rare and underrepresented in medical research. This paper introduces the first ...
Child Magnetic Resonance Imaging Multiple Sclerosis Humans Deep Learning Adolescent
View on PubMed DOI

Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

Biomedical engineering online Jul 9, 2025
INTRODUCTION: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infections with distinct treatment protocols. Rapid and accurate differentiation between these two conditions is crucial for effective clinical management; ...
Spondylitis Brucella Image Processing, Computer-Assisted Brucellosis Magnetic Resonance Imaging Young Adult Adult Male Middle Aged Deep Learning ROC Curve Humans Female Aged
View on PubMed DOI

Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images.

Scientific reports Jul 9, 2025
Magnetic resonance imaging of the lumbar spine is a key technique for clarifying the cause of disease. The greatest challenges today are the repetitive and time-consuming process of interpreting these complex MR images and the problem of unequal diag...
Intervertebral Disc Displacement Magnetic Resonance Imaging Lumbar Vertebrae Image Interpretation, Computer-Assisted Female Adult Male Middle Aged Deep Learning Image Processing, Computer-Assisted Humans
View on PubMed DOI

Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques.

Scientific reports Jul 9, 2025
Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing significant challenges in providing appropriate care. As the number of dementia cases continues to rise, delivering optimal care becomes more complex. ...
Humans Artificial Intelligence Aged Male Cognitive Dysfunction Machine Learning Algorithms Female Dementia Magnetic Resonance Imaging
View on PubMed DOI

Improved salp swarm algorithm-driven deep CNN for brain tumor analysis.

Scientific reports Jul 9, 2025
The efficiency of the swarm-based approach depends on the perfect balance of operators: exploration and exploitation. Due to a lack of balance between these two factors, the Salp Swarm Algorithm (SSA), a recently developed swarm-based metaheuristic a...
Deep Learning Magnetic Resonance Imaging Neural Networks, Computer Algorithms Brain Neoplasms Humans
View on PubMed DOI

Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.

Annals of medicine Jul 8, 2025
BACKGROUND: Intracranial solitary fibrous tumors (SFTs) and meningiomas are meningeal tumors with different malignancy levels and prognoses. Their similar imaging features make preoperative differentiation difficult, resulting in high misdiagnosis ra...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Diagnosis, Differential Meningioma Female Aged Adult Humans Machine Learning Retrospective Studies Meningeal Neoplasms Multiparametric Magnetic Resonance Imaging Solitary Fibrous Tumors
View on PubMed DOI

OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.

Proceedings of the National Academy of Sciences of the United States of America Jul 8, 2025
Glioma is the most common primary malignant brain tumor and preoperative genetic profiling is essential for the management of glioma patients. Our study focused on tumor regions segmentation and predicting the World Health Organization (WHO) grade, i...
Biomarkers, Tumor Brain Neoplasms Male Humans Female Mutation Genetic Markers Isocitrate Dehydrogenase Deep Learning Glioma Magnetic Resonance Imaging
View on PubMed DOI

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Nature communications Jul 8, 2025
Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this e...
Benchmarking Humans Artificial Intelligence Algorithms Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Integrating Machine Learning into Myositis Research: a Systematic Review.

Clinical reviews in allergy & immunology Jul 8, 2025
Idiopathic inflammatory myopathies (IIM) are a group of autoimmune rheumatic diseases characterized by proximal muscle weakness and extra muscular manifestations. Since 1975, these IIM have been classified into different clinical phenotypes. Each cli...
Magnetic Resonance Imaging Diagnosis, Differential Myositis Humans Machine Learning Support Vector Machine
View on PubMed DOI
Popular Topics
Recent Journals