Radiology

Diagnostic Radiology

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

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Radiographers' knowledge, attitudes and expectations of artificial intelligence in medical imaging.

INTRODUCTION: Artificial intelligence (AI) is increasingly utilised in medical imaging systems and p...

Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence.

The integration of human and machine intelligence promises to profoundly change the practice of medi...

A Modified Deep Learning Framework for Arrhythmia Disease Analysis in Medical Imaging Using Electrocardiogram Signal.

Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives. These a...

Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks.

A huge amount of imaging data is becoming available worldwide and an incredible range of possible im...

Maintenance and Management Technology of Medical Imaging Equipment Based on Deep Learning.

Medical equipment maintenance in modern hospital management is an emerging marginal discipline which...

European Society of Paediatric Radiology Artificial Intelligence taskforce: a new taskforce for the digital age.

A new task force dedicated to artificial intelligence (AI) with respect to paediatric radiology was ...

Ensemble Approaches to Recognize Protected Health Information in Radiology Reports.

Natural language processing (NLP) techniques for electronic health records have shown great potentia...

Deep Learning-Based CT Imaging for the Diagnosis of Liver Tumor.

The objective of this research was to investigate the application value of deep learning-based compu...

Current challenges of implementing artificial intelligence in medical imaging.

The idea of using artificial intelligence (AI) in medical practice has gained vast interest due to i...

Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.

The value of artificial intelligence (AI) in healthcare has become evident, especially in the field ...

Arterial Hypertension and the Hidden Disease of the Eye: Diagnostic Tools and Therapeutic Strategies.

Hypertension is a major cardiovascular risk factor that is responsible for a heavy burden of morbidi...

High-throughput widefield fluorescence imaging of 3D samples using deep learning for 2D projection image restoration.

Fluorescence microscopy is a core method for visualizing and quantifying the spatial and temporal dy...

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care.

Smart medical uses the medical information platform and the current technological means to enable th...

A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with Kr-gas SPECT ventilation imaging.

PURPOSE: This study aimed to evaluate the accuracy of deep learning (DL)-based computed tomography (...

AI recognition of patient race in medical imaging: a modelling study.

BACKGROUND: Previous studies in medical imaging have shown disparate abilities of artificial intelli...

Incidentalomas in chest CT.

Advances in imaging technology have dramatically increased the resolution of CT and improved detecti...

Challenges and advances in optical 3D mesoscale imaging.

Optical mesoscale imaging is a rapidly developing field that allows the visualisation of larger samp...

Federated Learning in Medical Imaging: Part I: Toward Multicentral Health Care Ecosystems.

With recent developments in medical imaging facilities, extensive medical imaging data are produced ...

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