Diagnostic Radiology

Equity, diversity, and inclusion: variations in clinical and academic radiology.

Equity, diversity, and inclusion (EDI) are fundamental to achieving fairness and representation in radiological research and practice. This review aims to examine how structural inequities related to race, sex, gender, age, disability, and socioeconomic status shape imaging research, workforce composition, and clinical outcomes. Racial disparities persist through outdated diagnostic assumptions an...

Artificial Intelligence in Health Care: Clinical Opportunities, Validation Trends, and Implementation Challenges (2020-2025).

INTRODUCTION: Artificial intelligence (AI) continues to reshape health care, supported by advances in computing power, affordable data storage, and widespread electronic health record adoption. METHODS: This systematic review followed PRISMA 2020 guidelines, searching PubMed, IEEE Xplore Digital Library, and Web of Science for studies published between January 2020 and September 2025. Eligible art...

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography.

Traditional radiology education is constrained by a restricted apprenticeship model and a scarcity of datasets structured for building artificial inte...

Construction of Rheumatoid Arthritis-Associated Interstitial Lung Disease diagnostic model and identification of biomarkers based on a multi-omics integration strategy of machine learning.

OBJECTIVE: This study aimed to develop and validate a machine learning model integrating multi-omics and radiomics data to improve diagnostic accuracy...

[The use of artificial intelligence tools in the perception of electroradiologists].

BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in diagnostic imaging, helping specialists improve the quality and ...

Multimodal large language models in brain tumor imaging: clinical applications and future perspectives.

The use of multimodal data is essential for the precise diagnosis and treatment of brain tumors. In this context, multimodal data encompass multiseque...

Building Purpose-Driven Radiology Departments: Distributive and Servant Leadership in Action.

Radiology is increasingly defined by interdependence: imaging value is created through tightly coupled relationships among radiologists, technologists...

Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation.

BACKGROUND: Advances in medical imaging have led to massive archives, yet navigating these datasets remains challenging due to the limitations of trad...

Current Patient Attitudes to Artificial Intelligence Applications in Radiology.

OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algorithms in radiology, which will change the experienc...

Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.

BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification for usual interstitial pneumonia (UIP) plays a cri...

Large Language Models in Clinical Decision Support: A Comparative Analysis of Chat-GPT and Breast Radiologists on ACR Appropriateness Criteria.

RATIONALE AND OBJECTIVES: This study evaluates the performance of ChatGPT, a large language model (LLM), in selecting appropriate imaging modalities f...

Multi-dimensional CT feature screening, construction, and validation of a clinical diagnostic model for thyroid eye disease.

OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction, often presenting with complex and variable orbita...

Addressing disparities in transthyretin amyloid cardiomyopathy: A systematic review of artificial intelligence in the early identification to improve patient outcomes.

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) remains substantially underdiagnosed among Black patient populations. When applied to non-i...

Effect of SnapShot Freeze 2 on Reducing Pulsation Artifacts in Coronary Artery Imaging of Patients With High Heart Rates.

BACKGROUND This study aimed to evaluate the effect of SnapShot Freeze 2 (SSF2) on reducing pulsation artifacts in coronary artery imaging of patients ...

Predicting radiology no-shows with machine learning: Methodological pitfalls and practical considerations.

OBJECTIVE: Predictive machine learning (ML) models may help reduce radiology appointment no-shows and late cancellations, which disrupt care, reduce o...

Overall risk of cancer incidence attributable to adult body CT examinations: impact of a seven-year continuous quality improvement program.

OBJECTIVES: To estimate the impact of a continuous dose reduction and quality improvement program on radiation-induced cancer risk in adult computed t...

Integrated Implementation Strategies to Promote the Use of AI-Assisted Diagnostic Software for Lung Nodule Screening in China: Process Evaluation Based on the RE-AIM Framework.

BACKGROUND: While artificial intelligence (AI)-assisted diagnostic software holds promise for improving diagnostic efficiency and reducing disparities...

Radiology oral boards coach: A custom large language model prompt for structured oral board preparation in resident readouts.

With the reinstatement of the American Board of Radiology (ABR) oral board examination, optimal preparation strategies for the reinaugural classes rem...

A systematic review of generative artificial intelligence techniques for synthetic medical image datasets: Quality, models, public availability and applications.

BACKGROUND AND OBJECTIVE: Generative Artificial Intelligence (GAI) offers promising solutions to long-standing challenges in developing medical imagin...

Artificial intelligence in medicine: a scoping review of the risk of deskilling and loss of expertise among physicians.

BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, particularly in radiology, pathology, endoscopy, and ...