Latest AI and machine learning research in pneumonia for healthcare professionals.
Radiologists' eye movements during medical image interpretation reflect their perceptual-cognitive p...
Objective: The purpose of this study was to explore options for data standardisation in audiology ...
Internal defect detection constitutes a critical process in ensuring component quality, for which ...
Chest X-rays (CXRs) are the most frequently performed imaging examinations in clinical settings. R...
Pneumonia Diagnosis, though it is crucial for an effective treatment, it can be hampered by uncert...
Curriculum learning strategies have been proven to be effective in various applications and have g...
Automated interpretation of chest X-rays (CXR) is a critical task with the potential to significan...
This dataset, Collab-CXR, provides a unique resource to study human-AI collaboration in chest X-ray ...
Online communities are an increasingly important stakeholder for firms, and despite the growing bo...
Generative models have revolutionized Artificial Intelligence (AI), particularly in multimodal app...
Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...
The development of AI-based methods for analyzing radiology reports could lead to significant adva...
Accurate and early diagnosis of pneumonia through X-ray imaging is essential for effective treatme...
Recent advances in reasoning-enhanced large language models (LLMs) and multimodal LLMs (MLLMs) hav...
Machine learning (ML) systems for medical imaging have demonstrated remarkable diagnostic capabili...
Many barriers exist when new members join a research community, including impostor syndrome. These...
Diagnostic imaging relies on interpreting both images and radiology reports, but the growing data ...
This paper proposes a novel pooling-based VGG-Lite model in order to mitigate class imbalance issu...
Automated radiology report generation (RRG) holds potential to reduce radiologists' workload, espe...
In this retrospective study, a dataset was constructed with two parts. The first part included 1,6...
Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...