Diagnostic Radiology

Robot-Assisted Laparoscopic Hysterectomy with Artificial Intelligence-Analyzed Imaging: Robot-Assisted Laparoscopic Hysterectomy with AI Imaging.

Enhancing the Accuracy of Skin Lesion Diagnosis Using Hyperspectral Imaging and Deep Learning.

This study presents a novel diagnostic approach that integrates hyperspectral imaging (HSI) with dee...

Artificial Intelligence for Head and Neck Squamous Cell Carcinoma: From Diagnosis to Treatment.

Head and neck squamous cell carcinoma (HNSCC) remains a globally prevalent malignancy with high morb...

Advances in disease detection through retinal imaging: A systematic review.

Ocular and non-ocular diseases significantly impact millions of people worldwide, leading to vision ...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-3...

A Comprehensive Review of Diagnostic Approaches to Vocal Fold Paralysis Using Artificial Intelligence.

Vocal fold paralysis, a condition caused by nerve damage, leads to impaired vocal fold movement, imp...

Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions.

Forensic medicine has increasingly integrated advanced imaging technologies to improve the accuracy ...

Assessing the performance of a point-of-need diagnostic algorithm in rapid detection of peripheral lymph node tuberculosis (Mobile-TB-Lab): a diagnostic evaluation study protocol.

INTRODUCTION: Early and accurate diagnosis of tuberculosis (TB) is central to ensuring the proper tr...

Foundation model embeddings for quantitative tumor imaging biomarkers.

Foundation models are increasingly used in medical imaging, yet their ability to extract reliable qu...

RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining.

The integration of artificial intelligence (AI) with radiology signifies a transformative era in med...

Recent advances and educational strategies in diagnostic imaging for temporomandibular disorders: a narrative literature review.

INTRODUCTION: Temporomandibular disorders (TMD) are a group of orofacial conditions characterized by...

Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

INTRODUCTION: The adoption of artificial intelligence (AI) is gaining increased interest in medical ...

A Convolutional Mixer-Based Deep Learning Network for Alzheimer's Disease Classification from Structural Magnetic Resonance Imaging.

Alzheimer's disease (AD) is a neurodegenerative disorder that severely impairs cognitive function a...

Diagnostic Methods and Biomarkers in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract t...

ESR Essentials: a step-by-step guide of segmentation for radiologists-practice recommendations by the European Society of Medical Imaging Informatics.

High-quality segmentation is important for AI-driven radiological research and clinical practice, wi...

Global research trends in bone tumors: a bibliometric analysis of medical imaging.

BACKGROUND: Bone tumors, due to their high rate of misdiagnosis, pose significant clinical challenge...

Neuroimaging Characterization of Acute Traumatic Brain Injury with Focus on Frontline Clinicians: Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Imaging Working Group.

Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...

Ethical framework for responsible foundational models in medical imaging.

The emergence of foundational models represents a paradigm shift in medical imaging, offering extrao...

Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...

Current and Emerging Applications of Artificial Intelligence in Medical Imaging for Paediatric Hip Disorders-A Scoping Review.

INTRODUCTION: Paediatric hip disorders present unique challenges for artificial intelligence (AI)-ai...