Latest AI and machine learning research in pneumonia for healthcare professionals.
The rapid evolution of artificial intelligence, especially in large language models (LLMs), has significantly impacted various domains, including healthcare. In chest X-ray (CXR) analysis, previous studies have employed LLMs, but with limitations: either underutilizing the multi-tasking capabilities of LLMs or lacking clinical accuracy. This paper presents M4CXR, a multi-modal LLM designed to en...
Curbs -- the edge of a raised sidewalk at the point where it meets a street -- crucial in urban environments where they help delineate safe pedestrian zones, from dangerous vehicular lanes. However, curbs themselves are significant navigation hazards, particularly for people who are blind or have low vision (pBLV). The challenges faced by pBLV in detecting and properly orientating themselves for...
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation...
Generative diffusion models, famous for their performance in image generation, are popular in various cross-domain applications. However, their use ...
Due to domain shift, deep learning image classifiers perform poorly when applied to a domain different from the training one. For instance, a classi...
Developing imaging models capable of detecting pathologies from chest X-rays can be cost and time-prohibitive for large datasets as it requires supe...
To address the rural broadband challenge and to leverage the unique opportunities that rural regions provide for piloting advanced wireless applicat...
Modern Machine Learning (ML) has significantly advanced various research fields, but the opaque nature of ML models hinders their adoption in severa...
A vaccine passport serves as documentary proof, providing passport holders with greater freedom while roaming around during pandemics. It confirms v...
Vision-language models have been extensively explored across a wide range of tasks, achieving satisfactory performance; however, their application i...
Microbial communities, which include prokaryotes and protists, play an important role in aquatic ecosystems and influence ecological processes. To und...
The explosion in known microbial diversity in the last two decades has made it abundantly clear that microbes in the environment do not exist in iso...
Community parks play a crucial role in promoting physical activity and overall well-being. This study introduces DLICP (Deep Learning Integrated Com...
Self-supervised learning methods for medical images primarily rely on the imaging modality during pretraining. While such approaches deliver promisi...
The application of artificial intelligence (AI) technologies in scientific research has significantly enhanced efficiency and accuracy but also introd...
Large language models (LLMs) are trained on broad corpora and then used in communities with specialized norms. Is providing LLMs with community rule...
Social computing scholars have long known that people do not interact with knowledge in straightforward ways, especially in digital environments. Wh...
Large vision language models (VLMs) have progressed incredibly from research to applicability for general-purpose use cases. LLaVA-Med, a pioneering...
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditions continue to evolve. Instances provided in this ...