Latest AI in Medicine Research | AI Medical Compendium

Showing 69,711 to 69,720 of 234,067 articles

QWNet: A quaternion wavelet network for spatial-frequency aware multi-modal image fusion.

Neural networks : the official journal of the International Neural Network Society Nov 22, 2025

Multi-modal Image Fusion (MMIF) enhances visual tasks by combining the strengths of different image modalities to improve object visibility and texture details. However, existing methods face two major challenges: First, a lack of intrinsic frequency... read more

Unsupervised SAM-guided mixture-of-multimodal-experts fusion network for medical image diagnosis.

Neural networks : the official journal of the International Neural Network Society Nov 22, 2025

Accurate diagnosis of cancer from medical images relies on both precise lesion localization and complementary multimodal information. However, current methods suffer from two key limitations: (1) dependence on costly pixel-level annotations for lesio... read more

Editorial for "Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI (ProMT-ML) in Patients With Suspected Prostate Cancer".

Journal of magnetic resonance imaging : JMRI Nov 22, 2025

Advancing Anemia Detection With Deep Neural Networks: A Comparative Analysis of Training Strategies Using Conjunctival Images.

American journal of hematology Nov 22, 2025

IDH Mutation Classification in Nonenhancing Gliomas: A Comparison of Habitat and Whole-Tumor Transfer Learning Strategies.

Journal of magnetic resonance imaging : JMRI Nov 22, 2025

BACKGROUND: Isocitrate dehydrogenase (IDH) mutation status is an important biomarker for the diagnosis and management of nonenhancing gliomas, underscoring the need for noninvasive preoperative classification. PURPOSE: To compare the value of habitat... read more

Bridging the variant-to-function gap in type 2 diabetes: advances and challenges.

Diabetologia Nov 22, 2025

Type 2 diabetes is a polygenic, heterogeneous disease affecting over 530 million individuals worldwide, a number projected to rise to 1.3 billion by 2050. Genome-wide association studies have identified over 1200 loci associated with type 2 diabetes,... read more

Clinically oriented deep learning framework for automated vessel wall segmentation in black-blood MRI: a multi-center study.

European radiology Nov 22, 2025

OBJECTIVES: To develop and validate a clinically applicable deep learning framework for automated segmentation of intracranial and carotid vessel walls in black-blood magnetic resonance vessel wall imaging (MR-VWI). MATERIALS AND METHODS: In this ret... read more

Prognostic value of a combined model integrating clinical and PET radiomics parameters in metastatic melanoma: A dual-center retrospective study.

Annals of nuclear medicine Nov 22, 2025

OBJECTIVES: To develop and evaluate the predictive efficacy of a combined model incorporating clinical parameters and PET-based radiomics signature (R-signature) for prognosis in patients with metastatic melanoma. METHODS: A total of 187 metastatic m... read more

Pioneering fully automated bony orbit segmentation: an in silico nnU-Net multicentre approach.

International journal of oral and maxillofacial surgery Nov 22, 2025

In maxillofacial surgery, orbital reconstruction requires precision to address both functional and aesthetic considerations arising from both acute and elective conditions. This study presents a novel, fully automated segmentation software designed s... read more

Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.

Medical image analysis Nov 22, 2025

Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resonance (CMR) analysis. However, the efficacy of these models is highly dependent on the availability of high-quality, artifact-free images. In clinical p... read more

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