Radiology

Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the lethal malignancies, in which accurate and faster detection is required in high-risk population to improve prognosis and decrease cancer-associated mortality. Currently, radiomics has emerged as a promising computational approach to address this challenge, reporting increased accuracy in differentiating PDAC from benign lesions. Our...

Noninvasive Assessment of the Ulnar Nerve in the Upper Extremity Using Machine Learning.

PURPOSE: The purpose of this study was to develop a machine learning algorithm trained on ultrasound images of the cubital tunnel that can be used to automatically identify, segment, and measure the cross-sectional area (CSA) of the ulnar nerve. METHODS: Control subjects and patients were scanned using a Fujifilm-SonoSite ultrasound system, equipped with a high-frequency linear array probe by a tr...

Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.

Early detection of breast cancer (BC) through mammography screening is critical for reducing mortality and improving patient outcomes. However, full-p...

Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering.

Quantitative positron emission tomography (PET) is widely used for disease diagnosis and therapy monitoring, yet the reliability of kinetic parameters...

Artificial intelligence meets point-of-care ultrasound: implications for pediatric emergency and critical care.

PURPOSE OF REVIEW: Artificial intelligence has been integrated in nearly all aspects of clinical care to improve patient outcomes, augment human capab...

Deep learning cascade networks for segmentation of fluorine-18 sodium fluoride positron emission tomography scans of equine metacarpo- and metatarsophalangeal joints outperform atlas-based method.

OBJECTIVE: To create a labeled dataset and evaluate a convolutional neural network (CNN) for segmentation of fluorine-18 sodium fluoride PET scans of ...

Recent Advances in Cancer Diagnostics: Exotic Animal Medicine and Beyond.

Recent advances in veterinary diagnostic oncology have significantly improved neoplasia detection in animals, including zoo, exotic, and wildlife spec...

High-Resolution 3T MRI of the Membranous Labyrinth Using Deep Learning Reconstruction.

BACKGROUND AND PURPOSE: The labyrinth is a complex anatomic structure in the temporal bone. However, high-resolution imaging of its membranous portion...

Prospective quantitative analysis of hyperparameter and input optimization in GPT-5: comparative contribution to radiologist performance in abdominal radiology.

PURPOSE: This study aims to evaluate the effect of input format and hyperparameter settings on GPT-5 and explore the contribution of GPT-5 assistance ...

3D deep-learning radiomics from MR-T2WI for predicting placenta accreta spectrum disorders: A multicenter study.

OBJECTIVE: To develop a three-dimensional (3D) deep-learning radiomics from magnetic resonance-T2-weighted imaging (T2WI) for predicting the risk of p...

Prediction model for deep vein thrombosis stability based on multiple machine learning methods.

BackgroundThis study aimed to develop multiple machine learning (ML) models to predict DVT stability based on clinical and computed tomography (CT) te...

AI-based image quality assessment of positioning in mammography: considerations and challenges.

OBJECTIVES: Artificial intelligence (AI) could facilitate and objectify quality assessment in the daily routine. The purpose was to explore the extent...

The journey from congress to journal: publication patterns of ECR 2019 oral presentations.

OBJECTIVES: To evaluate the publication outcomes of oral presentations delivered at the European Congress of Radiology (ECR) 2019 and examine factors ...

Automated Segmentation of Stellate Ganglion Block Region in Ultrasound Images Using Deep Learning Model.

BACKGROUND: The stellate ganglion region is densely vascularized and innervated, making the stellate ganglion block (SGB) technically challenging unde...

Comprehensive multimodal prediction of Alzheimer's disease.

Alzheimer's disease (AD) classification using machine learning has increasingly relied on multimodal inputs such as Magnetic Resonance Imaging (MRI), ...

Clinical validation of perfusion imaging with pulmonary function test data using Voronoi-based discretization.

Accurate lung function assessment is essential for diagnosing and managing diseases like COPD, pulmonary emboli, and lung cancer. Single-photon emissi...

Temporomandibular Disorders Diagnosis: Current Challenges and the Promising Role of Artificial Intelligence.

Temporomandibular disorders (TMDs) are a group of musculoskeletal and joint-related conditions affecting the temporomandibular joint (TMJ), masticator...

Emerging Roles of Multiparametric Biodosimetry and Artificial Intelligence in Advancing Radiation Dose Assessment for Triage.

Biodosimetry plays a crucial role in radiation emergency preparedness and response by enabling efficient allocation of medical resources through prior...

Artificial intelligence to support ultrasound in the detection of developmental dysplasia of the hip : a scoping review.

AIMS: Ultrasound is a highly sensitive method to detect developmental dysplasia of the hip (DDH). However, the cost of expert sonographers performing ...

Transforming a clinical study database into a structured database adapted to artificial intelligence applications.

OBJECTIVE: Medical imaging databases suitable for training machine learning/computer vision algorithms are scarce, limiting the potential for developm...