Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,791 to 3,800 of 169,808 articles

Exploring Interactive Simulation of Grass Display Color Characteristic Based on Real-World Conditions

arXiv
Recent research has focused on incorporating media into living environments via color-controlled materials and image display. In particular, grass-based displays have drawn attention as landscape-friendly interactive interfaces. To develop the gras... read more 

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision

arXiv
This paper presents a portable, GPU-accelerated implementation of a QR-based singular value computation algorithm in Julia. The singular value ecomposition (SVD) is a fundamental numerical tool in scientific computing and machine learning, providin... read more 

ActivityDiff: A diffusion model with Positive and Negative Activity Guidance for De Novo Drug Design

arXiv
Achieving precise control over a molecule's biological activity-encompassing targeted activation/inhibition, cooperative multi-target modulation, and off-target toxicity mitigation-remains a critical challenge in de novo drug design. However, exist... read more 

Semantic Item Graph Enhancement for Multimodal Recommendation

arXiv
Multimodal recommendation systems have attracted increasing attention for their improved performance by leveraging items' multimodal information. Prior methods often build modality-specific item-item semantic graphs from raw modality features and u... read more 

LV-Net: Anatomy-aware lateral ventricle shape modeling with a case study on Alzheimer's disease, the Australian Imaging Biomarkers and Lifestyle flagship study of ageing

arXiv
Lateral ventricle (LV) shape analysis holds promise as a biomarker for neurological diseases; however, challenges remain due to substantial shape variability across individuals and segmentation difficulties arising from limited MRI resolution. We i... read more 

Scaling Personality Control in LLMs with Big Five Scaler Prompts

arXiv
We present Big5-Scaler, a prompt-based framework for conditioning large language models (LLMs) with controllable Big Five personality traits. By embedding numeric trait values into natural language prompts, our method enables fine-grained personali... read more 

Machine learning based analysis of leucocyte cell population data by Sysmex XN series hematology analyzer for the diagnosis of bacteremia.

Scientific reports
In clinical practice, early recognition of bacteremia leads to prognostic improvement. Recently, cell population data (CPD) from the Sysmex XN-series hematology analyzer has attracted attention as a new method for the early diagnosis of bacteremia, b... read more 

Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets.

Scientific reports
Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor types along with human interventions during diagnostic process. This study proposes a novel ensemble deep learning system for accurate brain tumor classi... read more 

Critical factors for carbon fixation efficiency in semiconductor-biohybrid systems: insights from a meta-analysis.

Bioresource technology
Semiconductor biohybrid systems are emerging as promising strategies for enhanced carbon dioxide fixation and synthesis of organic compounds, with the potential to transcend biological limitations. However, the effects of experimental variables on th... read more