Radiology

Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

14,384 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 1891-1911 of 14,384 articles

Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.

OBJECTIVES: The purpose of this study was to determine the utility of conjugate gradient reconstruct...

Dec 2025 41444395

Artificial Intelligence in Fetal MRI: Principles, Applications, Limitations, and Future Directions.

Artificial intelligence (AI) offers solutions to overcome limitations of fetal MRI, including motion...

Dec 2025 41437729

Effect of deep learning reconstruction on arm-induced artifacts compared with hybrid iterative reconstruction and filtered-backprojection in abdominal CT.

Abdominal computed tomography (CT) is normally performed with patients raising their arms over abdom...

Dec 2025 41442007

Elevated Retinal Neovascularization on Widefield Optical Coherence Tomography Angiography Predicts Complications in High-Risk Proliferative Diabetic Retinopathy.

PURPOSE: To determine whether retinal neovascularization (RNV) metrics derived from single-shot wide...

Dec 2025 41453592

Understanding the challenges to implementing AI solutions in radiology departments and how to overcome them: A comprehensive review endorsed by the French College of Radiologists (CERF) and the French Society of Radiology (SFR).

Despite the exponential growth of artificial intelligence (AI) solutions designed to assist radiolog...

Dec 2025 41436332

Microrobots/micromotors in cancer therapeutics, advances and applications.

Cancer remains one of the most challenging diseases to conquer due to its high mortality rate and th...

Dec 2025 41468863

Unsupervised anomaly detection in brain MRI via disentangled anatomy learning.

Detection of various lesions in brain MRI is clinically critical, but challenging due to the diversi...

Dec 2025 41478083

Machine learning-based prediction of large-for-gestational-age neonates in diabetic and non-diabetic pregnancies.

OBJECTIVE: This study determines whether a machine-learning model integrating sonographic biometry w...

Dec 2025 41424415

Predicting molecular types of adult-type diffuse gliomas based on MRI reports with large language models.

OBJECTIVES: To evaluate the performance of large language models (LLMs) in predicting molecular type...

Dec 2025 41428044

Dynamic-Guided Diffusion Probability Model for Cranial Nerves Segmentation.

PURPOSE: Segmentation of cranial nerves (CNs) bundles using magnetic resonance imaging (MRI) provide...

Dec 2025 41428854

Support vector machine classification of 18F-FDG PET scans across subtypes of amyotrophic lateral sclerosis.

PURPOSE: While 18F-FDG PET imaging has demonstrated diagnostic value in people with Amyotrophic Late...

Dec 2025 41423553

Innovation, Technology, and Telemedicine in Critical Care.

Critical care medicine is undergoing a major transformation driven by rapid technological innovation...

Dec 2025 41825983

Artificial intelligence-driven prostate cancer diagnosis: Enhancing accuracy and personalizing patient care.

Prostate cancer remains a major global burden; diagnostic pathways rely on prostate-specific antigen...

Dec 2025 41423376

Computational studies of target-specific radiopharmaceuticals for theranostics.

Radiopharmaceuticals are key tools in nuclear medicine, enabling both diagnostic imaging and targete...

Dec 2025 41483740

Identification of TFCC substructure injury in wrist MRI using computer vision: a diagnostic aid for radiologists.

OBJECTIVE: The purpose of this study is to develop an automated model to assist in the detection of ...

Dec 2025 41419661

Deep Learning-Based Denoising for High-Resolution Carotid Vessel Wall MRI Using Standard Neurovascular Coils.

PURPOSE: To develop a deep learning (DL) denoising method to enhance high-resolution carotid vessel ...

Dec 2025 41420073

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets.

Brain age is an emerging concept that reflects complex, time-dependent changes in brain structure, i...

Dec 2025 41414873

Evaluating the efficacy of the ResNet50 deep learning model utilizing thyroid scintigraphy images for predicting the outcomes of initial iodine-131 therapy in patients with Graves' disease.

BACKGROUND: Graves' disease (GD), a leading cause of hyperthyroidism, exhibits heterogeneous respons...

Dec 2025 41414958

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