Latest AI and machine learning research in pneumonia for healthcare professionals.
Vaccination plays a vital role in global public health, yet healthcare professionals often struggle to access immunization guidelines quickly and efficiently. National protocols and WHO recommendations are typically extensive and complex, making it difficult to extract precise information, especially during urgent situations. This project tackles that issue by developing a multilingual, intellig...
The connected $k$-median problem is a constrained clustering problem that combines distance-based $k$-clustering with connectivity information. The problem allows to input a metric space and an unweighted undirected connectivity graph that is completely unrelated to the metric space. The goal is to compute $k$ centers and corresponding clusters such that each cluster forms a connected subgraph o...
The Alps Research Infrastructure leverages GH200 technology at scale, featuring 10,752 GPUs. Accessing Alps provides a significant computational adv...
Academic well-being is deeply influenced by peer-support networks, yet they remain informal, inequitable, and unsustainable, often relying on person...
Medical Image Grounding (MIG), which involves localizing specific regions in medical images based on textual descriptions, requires models to not on...
Building generalizable medical AI systems requires pretraining strategies that are data-efficient and domain-aware. Unlike internet-scale corpora, c...
Building generalizable medical AI systems requires pretraining strategies that are data-efficient and domain-aware. Unlike internet-scale corpora, c...
Interstitial lung disease (ILD) diagnosis is complex, continuously evolving, and increasingly reliant on thin-section chest CT. Multidisciplinary disc...
Community detection plays a crucial role in understanding the structural organization of complex networks. Previous methods, particularly those from s...
In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess potential mortality risk in life insurance applicants. ...
Utilizing thermal infrared facial imaging for fever screening in public spaces has become a common strategy to curb the spread of influenza viruses. H...
BACKGROUND: The differential diagnosis of invasive pulmonary aspergillosis (IPA), pulmonary mucormycosis (PM), bacterial pneumonia (BP) and pulmonary ...
Infectious diseases, a major contributor to high mortality rates, often exhibit similar symptoms, despite variations in immune responses to bacterial ...
Assessing multi-hazard susceptibility and understanding community insights are important for effective disaster risk management; however, limited rese...
Biodiversity monitoring is critical for conservation and management. However, efficient species monitoring is often hindered by the complexities of ec...
OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognitive impairment and facilitate successful cognitive...
Current artificial intelligence models for medical imaging are predominantly single modality and single disease. Attempts to create multimodal and m...
Contrastive Language-Image Pre-training (CLIP) models have demonstrated superior performance across various visual tasks including medical image cla...
Nowadays, people in the modern world communicate with their friends, relatives, and colleagues through the internet. Persons/nodes and communication...
Federated learning is a decentralized training approach that keeps data under stakeholder control while achieving superior performance over isolated...