Latest AI and machine learning research in work force for healthcare professionals.
Several mating restriction techniques have been implemented in Evolutionary Algorithms to promote diversity. From similarity-based selection to niche preservation, the general goal is to avoid premature convergence by not having fitness pressure as the single evolutionary force. In a way, such methods can resemble the mechanisms involved in Sexual Selection, although generally assuming a simplif...
Monitoring maternal and fetal health during pregnancy is crucial for preventing adverse outcomes. While tests such as ultrasound scans offer high accuracy, they can be costly and inconvenient. Telehealth and more accessible body shape information provide pregnant women with a convenient way to monitor their health. This study explores the potential of 3D body scan data, captured during the 18-24...
Medical and paramedical training is still a major issue in Africa, given the growing needs that contrast with the shortage of teachers, hospitals and ...
In the field of elder care, many countries are facing a shortage of nursing staff, which presents a significant challenge that necessitates innovative...
Universal lesion detection and tagging (ULDT) in CT studies is critical for tumor burden assessment and tracking the progression of lesion status (g...
Multimodal Language Models (MMLMs) typically undergo post-training alignment to prevent harmful content generation. However, these alignment stages ...
The advent of large language models (LLMs) in the education sector has provided impetus to automate grading short answer questions. LLMs make evalua...
The reproduction of state-of-the-art multimodal LLM pre-training faces barriers at every stage of the pipeline, including high-quality data filterin...
This integrative literature review examines the evolving role of artificial intelligence (AI) and machine learning (ML) based clinical decision suppor...
Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-small cell lung cancer (NSCLC). Numerous clinical tr...
Although most physicians are interested in the use of augmented or artificial intelligence (AI) in health care, only 38% are using AI in their practic...
The advancement of generative AI, particularly in medical imaging, confronts the trilemma of ensuring high fidelity, diversity, and efficiency in sy...
Face editing modifies the appearance of face, which plays a key role in customization and enhancement of personal images. Although much work have ac...
Quality-Diversity algorithms are powerful tools for discovering diverse, high-performing solutions. Recently, Multi-Objective Quality-Diversity (MOQ...
With the rapid proliferation of 3D devices and the shortage of 3D content, stereo conversion is attracting increasing attention. Recent works introd...
It is highly desirable to obtain a model that can generate high-quality 3D meshes from text prompts in just seconds. While recent attempts have adap...
Image feature matching, a foundational task in computer vision, remains challenging for multimodal image applications, often necessitating intricate...
As Large Language Models (LLMs) show their capabilities across various applications, training customized LLMs has become essential for modern enterp...
Intelligent algorithms increasingly shape the content we encounter and engage with online. TikTok's For You feed exemplifies extreme algorithm-drive...
Real-time 3D face manipulation has significant applications in virtual reality, social media and human-computer interaction. This paper introduces a...