Radiology

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

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Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines.

BACKGROUND: Diagnostic imaging studies are increasingly important in the management of acutely prese...

Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, it...

Multi-contrast machine learning improves schistosomiasis diagnostic performance.

Schistosomiasis currently affects over 250 million people and remains a public health burden despite...

Bridging technology and medicine: artificial intelligence in targeted anticancer drug delivery.

The integration of artificial intelligence (AI) in targeted anticancer drug delivery represents a si...

Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?

The potential of deep learning to predict renal obstruction using kidney ultrasound images has been ...

ESR Essentials: common performance metrics in AI-practice recommendations by the European Society of Medical Imaging Informatics.

This article provides radiologists with practical recommendations for evaluating AI performance in r...

External evaluation of an open-source deep learning model for prostate cancer detection on bi-parametric MRI.

OBJECTIVES: This study aims to evaluate the diagnostic accuracy of an open-source deep learning (DL)...

Artificial intelligence and robotic surgery in clinical medicine: progress, challenges, and future directions.

Technological innovations in medicine are increasingly expected to replicate the diagnostic, decisio...

[Tips and tricks for the cytological management of cysts].

Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...

Artificial Intelligence in Abdominal, Gynecological, Obstetric, Musculoskeletal, Vascular and Interventional Ultrasound.

Artificial Intelligence (AI) is a theoretical framework and systematic development of computational ...

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening.

Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and th...

Integrating Time and Frequency Domain Features of fMRI Time Series for Alzheimer's Disease Classification Using Graph Neural Networks.

Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and tre...

Advances in renal cancer: diagnosis, treatment, and emerging technologies.

This review provides a comprehensive overview of current practices and recent advancements in the di...

Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of os...

Temporal consistency-aware network for renal artery segmentation in X-ray angiography.

PURPOSE: Accurate segmentation of renal arteries from X-ray angiography videos is crucial for evalua...

Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...

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