Latest AI and machine learning research in pneumonia for healthcare professionals.
Current artificial intelligence models for medical imaging are predominantly single modality and s...
Contrastive Language-Image Pre-training (CLIP) models have demonstrated superior performance acros...
Nowadays, people in the modern world communicate with their friends, relatives, and colleagues thr...
Federated learning is a decentralized training approach that keeps data under stakeholder control ...
Identifiable causal representation learning seeks to uncover the true causal relationships underly...
Medical report generation from imaging data remains a challenging task in clinical practice. While...
In AI research and practice, rigor remains largely understood in terms of methodological rigor -- ...
Counterfactual image generation aims to simulate realistic visual outcomes under specific causal i...
Chest X ray (CXR) imaging remains a critical diagnostic tool for thoracic conditions, but current ...
Chest radiography is widely used in diagnostic imaging. However, perceptual errors -- especially o...
In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error ...
Claims made by individuals or entities are oftentimes nuanced and cannot be clearly labeled as ent...
Latent Diffusion Models have shown remarkable results in text-guided image synthesis in recent yea...
The CXR-LT series is a community-driven initiative designed to enhance lung disease classification...
Lung cancer remains one of the most prevalent and fatal diseases worldwide, demanding accurate and...
COVID-19 is a rapidly spreading and highly infectious virus which has triggered a global pandemic,...
The commercial vitality of community-scale streets in Chinese cities is shaped by complex interact...
Purpose: This study proposes a framework for fine-tuning large language models (LLMs) with differe...
The escalating demand for medical image interpretation underscores the critical need for advanced ...
Detecting lung abnormalities via chest X-rays is challenging due to understated tissue variations of...
The COVID-19 pandemic has significantly strained healthcare systems, highlighting the need for early...