Latest AI and machine learning research in diagnostic radiology for healthcare professionals.
Automatic radiology report generation can enhance diagnostic efficiency and accuracy. However, clean...
Coronary artery disease (CAD) is highly prevalent among pilots due to the nature of their lifestyle,...
PURPOSE: While several artificial intelligence (AI)-assisted medical imaging applications are report...
Knee osteoarthritis (KOA) is a leading cause of disability globally. Early and accurate diagnosis is...
Clinical examination of the tongue is essential for diagnosing systemic and local diseases. However,...
This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and ...
OBJECTIVES: Superficial esophageal squamous cell carcinoma (ESCC) detection is crucial. Although nar...
BACKGROUND: The risk stratification and prognosis of cardiac arrhythmia depend on the individual con...
INTRODUCTION: With artificial intelligence (AI) becoming increasingly integrated into medical imagin...
Osteoarthritis (OA) is a degenerative joint disease with significant clinical and societal impact. T...
BACKGROUND: Medical imaging has been essential and has provided clinicians with useful information a...
INTRODUCTION: To realise the full potential of artificial intelligence (AI) systems in medical imagi...
The early detection of breast cancer, particularly in dense breast tissues, faces significant challe...
The rapid adoption of Artificial Intelligence (AI) in medical imaging raises fairness and privacy co...
Advancements in digital and precision medicine have fostered the rapid development of artificial int...
PURPOSE: To assess the expected impact of the 2024 medical imaging literature on the workload of dia...
BACKGROUND: Artificial intelligence (AI) is transforming diagnostic imaging in dentistry. This syste...
Clinical imaging trials play a crucial role in advancing medical innovation but are often costly, in...
Artificial intelligence makes strides in specialized diagnostics but faces challenges in complex cli...
Recent advances in deep learning models have transformed medical imaging analysis, particularly in r...
We previously demonstrated that a deep learning (DL) model of myocardial perfusion SPECT imaging imp...