Artificial Intelligence Medical Compendium

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

Showing 1,031 to 1,040 of 161,325 articles

Deep learning optimization of STAR-RIS for enhanced data rate and energy efficiency in 6G wireless networks.

Scientific reports
Unlike traditional reflection-only reconfigurable intelligent surfaces (RISs), simultaneously transmitting and reflecting RISs (STAR-RISs) introduce an innovative technology. They expand the coverage area from half-space to full-space. This advanceme... read more 

Complexity of Faceted Explanations in Propositional Abduction

arXiv
Abductive reasoning is a popular non-monotonic paradigm that aims to explain observed symptoms and manifestations. It has many applications, such as diagnosis and planning in artificial intelligence and database updates. In propositional abduction,... read more 

Light Future: Multimodal Action Frame Prediction via InstructPix2Pix

arXiv
Predicting future motion trajectories is a critical capability across domains such as robotics, autonomous systems, and human activity forecasting, enabling safer and more intelligent decision-making. This paper proposes a novel, efficient, and lig... read more 

Dual-Dielectric-Layer-Based Iontronic Pressure Sensor Coupling Ultrahigh Sensitivity and Wide-Range Detection for Temperature/Pressure Dual-Mode Sensing.

Advanced materials (Deerfield Beach, Fla.)
Iontronic pressure sensors are widely used in human motion monitoring and human-machine interactions owing to their high sensitivity, wide measurement range, and excellent resolution. However, conventional dielectric layer designs often involve compl... read more 

Benchmarking Foundation Models with Multimodal Public Electronic Health Records

arXiv
Foundation models have emerged as a powerful approach for processing electronic health records (EHRs), offering flexibility to handle diverse medical data modalities. In this study, we present a comprehensive benchmark that evaluates the performanc... read more 

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback

arXiv
With the rapid advancement of Large Language Models (LLMs), developing effective critic modules for precise guidance has become crucial yet challenging. In this paper, we initially demonstrate that supervised fine-tuning for building critic modules... read more 

AI, originality, and attribution: Researchers' perspectives on distinguishing contributions.

Accountability in research
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into research, significantly challenging established scholarly norms around originality, contribution, and authorship. While policies are developing, there is a gap in understanding ... read more 

The Past, Present, and Future Distribution of : Perspectives From Fossil Record and Species Distribution Models.

Ecology and evolution
Global climate change is a critical factor influencing biodiversity and ecosystem stability by altering the suitable habitats of many species. is an endemic and relict plant species in China. Identifying its suitable habitats across different period... read more 

Exploring the Frontiers of Food Science: A Comprehensive Review of Advanced Magnetic Resonance Applications in Food Analysis, Quality Analysis, and Safety Assessment.

Food science & nutrition
Magnetic resonance (MR) technologies, such as nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI), and electron spin resonance (ESR), have been identified as fundamental tools in the modern food science, which allows virtually high pre... read more 

Attitudes and Awareness of Medical Students Toward Teleradiology and the Application of Artificial Intelligence in Diagnostic Radiology: A Cross-Sectional Study.

Journal of medical education and curricular development
RATIONALE AND OBJECTIVES: Teleradiology and artificial intelligence (AI) have emerged as important tools for facilitating healthcare workers in diagnosing, treating, and preventing diseases. They can also be used in the analysis of X-ray images, magn... read more