Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by a...
Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...
Early detection of gastric cancer, a leading cause of cancer-related mortality worldwide, remains ...
In federated learning, fine-tuning pre-trained foundation models poses significant challenges, par...
Semantic communication has emerged as a promising paradigm for enhancing communication efficiency ...
Decentralized federated learning (D-FL) allows clients to aggregate learning models locally, offer...
When faced with complex and uncertain medical conditions (e.g., cancer, mental health conditions, ...
Background Telemedicine has the potential to provide secure and cost-effective healthcare at the t...
In recent years, the rapid development of machine learning has brought reforms and challenges to t...
Glaucoma is an incurable ophthalmic disease that damages the optic nerve, leads to vision loss, an...
Collaborative perception allows real-time inter-agent information exchange and thus offers invalua...
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...
Federated learning seeks to foster collaboration among distributed clients while preserving the pr...
Transformer-based foundation models (FMs) have recently demonstrated remarkable performance in med...
Object detection shows promise for medical and surgical applications such as cell counting and too...
Semantic communication is designed to tackle issues like bandwidth constraints and high latency in...
Collaborative perception in multi-agent system enhances overall perceptual capabilities by facilit...
Neuromorphic or event cameras, inspired by biological vision systems, capture changes in illuminat...
Traditional Remote Sensing Foundation models (RSFMs) are pre-trained with a data-centralized parad...
Traditional single-modality sensing faces limitations in accuracy and capability, and its decouple...
This paper proposes a task-oriented co-design framework that integrates communication, computing, ...