Latest AI and machine learning research in pneumonia for healthcare professionals.
The use of 3D modelling in medical education is a revolutionary tool during the learning process. In fact, this type of technology enables a more interactive teaching approach, making information retention more effective and enhancing students' understanding. 3D modelling allows for the creation of precise representations of the human body, as well as interaction with three-dimensional models, g...
This study seeks to identify the potential role of AI-driven assistive technologies in enhancing access to libraries for persons with varying degrees of challenges. Traditional libraries pose a problem to many users with vision and mobility, among other conditions related to physical and infirmities. This mixed-methods research approach will examine ways in which AI-powered assistive tools and a...
Radiology report generation (RRG) aims to create free-text radiology reports from clinical imaging. Grounded radiology report generation (GRRG) exte...
The Privacy Preserving Federated Learning Document VQA (PFL-DocVQA) competition challenged the community to develop provably private and communicati...
As cancer cases continue to rise, with a 2023 study from Zhejiang and Harvard predicting a 31 percent increase in cases and a 21 percent increase in...
Research into community content moderation often assumes that moderation teams govern with a single, unified voice. However, recent work has found t...
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusi...
Large language models (LLMs) have demonstrated significant potential in clinical decision support. Yet LLMs still suffer from hallucinations and lac...
Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health strategies. This data serves as a cornerstone for gove...
Stereopsis has widespread appeal in robotics as it is the predominant way by which living beings perceive depth to navigate our 3D world. Event came...
The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, and sublineages that outcompete earlier strains, lar...
Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient pro...
Community health workers (CHWs) provide last-mile healthcare services but face challenges due to limited medical knowledge and training. This paper ...
Mathematical modelling has served a central role in studying how infectious disease transmission manifests at the population level. These models hav...
This paper aims to demonstrate how the prevalent practice in the learned video compression community of averaging rate-distortion (RD) curves across...
Automatic Medical Imaging Narrative generation aims to alleviate the workload of radiologists by producing accurate clinical descriptions directly f...
While very much in its infancy in terms of becoming an established tool, the use of digital technology in community nursing is steadily growing, despi...
Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, CXR-Age) model in a large external test cohort of A...
Purpose To develop a machine learning approach for classifying disease progression in chest radiographs using weak labels automatically derived from r...
With the increase of graph size, it becomes difficult or even impossible to visualize graph structures clearly within the limited screen space. Cons...