Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Vision-language retrieval (VLR) has attracted significant attention in both academia and industry, which involves using text (or images) as queries to retrieve corresponding images (or text). However, existing methods often neglect the rich visual semantics knowledge of entities, thus leading to incorrect retrieval results. To address this problem, we propose the Entity Visual Description enhanc...
Aplastic anemia is a rare, life-threatening hematologic disorder characterized by pancytopenia and bone marrow failure. ICU admission in these patients often signals critical complications or disease progression, making early risk assessment crucial for clinical decision-making and resource allocation. In this study, we used the MIMIC-IV database to identify ICU patients diagnosed with aplastic ...
High-resolution remote sensing (HRRS) image segmentation is challenging due to complex spatial layouts and diverse object appearances. While CNNs ex...
The fashion industry is an extremely profitable market that generates trillions of dollars in revenue by producing and distributing apparel, footwea...
Machine learning (ML) models rely heavily on consistent and accurate performance metrics to evaluate and compare their effectiveness. However, exist...
Domain adaptation remains a challenge when there is significant manifold discrepancy between source and target domains. Although recent methods leve...
Omni-domain infrared small target detection (IRSTD) poses formidable challenges, as a single model must seamlessly adapt to diverse imaging systems,...
Video Class-Incremental Learning (VCIL) seeks to develop models that continuously learn new action categories over time without forgetting previousl...
Despite growing empirical evidence of bias amplification in machine learning, its theoretical foundations remain poorly understood. We develop a for...
Human preference plays a crucial role in the refinement of large language models (LLMs). However, collecting human preference feedback is costly and...
Social media platforms must filter sexist content in compliance with governmental regulations. Current machine learning approaches can reliably dete...
Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial cal...
Diffusion transformers have shown exceptional performance in visual generation but incur high computational costs. Token reduction techniques that c...
Diffusion models have made substantial advances in image generation, yet models trained on large, unfiltered datasets often yield outputs misaligned...
We present preliminary results of a systematic review of reporting guidelines for nine papers from clinical and non-clinical databases. Initial result...
Advances in artificial intelligence (AI) and intelligent computing have significantly accelerated drug discovery by enabling accurate modeling of comp...
Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists with diagnosis and reporting. An AI tool is being...
The design and implementation of unit tests is a complex task many programmers neglect. This research evaluates the potential of Large Language Mode...
OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may resu...
The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and application necessitates the establishment of clea...