Radiology

Diagnostic Radiology

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

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Benchmarking Radiology Report Generation From Noisy Free-Texts.

Automatic radiology report generation can enhance diagnostic efficiency and accuracy. However, clean...

Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review.

PURPOSE: While several artificial intelligence (AI)-assisted medical imaging applications are report...

OA-HybridCNN (OHC): An advanced deep learning fusion model for enhanced diagnostic accuracy in knee osteoarthritis imaging.

Knee osteoarthritis (KOA) is a leading cause of disability globally. Early and accurate diagnosis is...

From Image to Diagnosis: Convolutional Neural Networks in Tongue Lesions.

Clinical examination of the tongue is essential for diagnosing systemic and local diseases. However,...

The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future.

This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and ...

Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem.

BACKGROUND: The risk stratification and prognosis of cardiac arrhythmia depend on the individual con...

Integrating AI into medical imaging curricula: Insights from UK HEIs.

INTRODUCTION: With artificial intelligence (AI) becoming increasingly integrated into medical imagin...

Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields.

Osteoarthritis (OA) is a degenerative joint disease with significant clinical and societal impact. T...

A systematic literature review: exploring the challenges of ensemble model for medical imaging.

BACKGROUND: Medical imaging has been essential and has provided clinicians with useful information a...

Principles for enhancing trust in artificial intelligence systems among medical imaging professionals in Ghana: A nationwide cross-sectional study.

INTRODUCTION: To realise the full potential of artificial intelligence (AI) systems in medical imagi...

A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging.

The early detection of breast cancer, particularly in dense breast tissues, faces significant challe...

Achieving flexible fairness metrics in federated medical imaging.

The rapid adoption of Artificial Intelligence (AI) in medical imaging raises fairness and privacy co...

Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.

Advancements in digital and precision medicine have fostered the rapid development of artificial int...

Workload of diagnostic radiologists in the foreseeable future based on recent (2024) scientific advances: Updated growth expectations.

PURPOSE: To assess the expected impact of the 2024 medical imaging literature on the workload of dia...

Augmented intelligence in oral and maxillofacial radiology: a systematic review.

BACKGROUND: Artificial intelligence (AI) is transforming diagnostic imaging in dentistry. This syste...

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.

Clinical imaging trials play a crucial role in advancing medical innovation but are often costly, in...

MetaGP: A generative foundation model integrating electronic health records and multimodal imaging for addressing unmet clinical needs.

Artificial intelligence makes strides in specialized diagnostics but faces challenges in complex cli...

Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques.

Recent advances in deep learning models have transformed medical imaging analysis, particularly in r...

Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging.

We previously demonstrated that a deep learning (DL) model of myocardial perfusion SPECT imaging imp...

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