Artificial Intelligence Medical Compendium

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

Showing 37,551 to 37,560 of 223,469 articles

AI-enhanced soil classification with incomplete CPT data for offshore wind farm.

Scientific reports
Accurate soil classification is fundamental to offshore wind farm foundation design, yet conventional cone penetration test (CPT) based methods often require complete datasets that are costly and challenging to obtain in offshore environments. This s... read more 

Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.

Nature biomedical engineering
Artificial intelligence agents are emerging as powerful applications of large language models (LLMs), automating complex tasks and enabling scientific data exploration. However, their use in biomedical data analysis remains limited by the difficulty ... read more 

Data-driven optimisation of sustainable high-performance concrete incorporating SCMs, biomass ash, and graphene nanoplatelets.

Scientific reports
The current study outlines an integrated experimental and data-driven methodology of the development of sustainable high-performance concrete, using a hybrid low-carbon binder, which includes fly ash (FA), ground granulated blast-furnace slag (GGBS),... read more 

Future-informed FOCAL MODE: a multimodal deep learning framework for forecasting dissolved oxygen in reservoirs.

Environmental monitoring and assessment
Dissolved oxygen (DO) is essential for reservoir ecosystem health but is often reduced by dam operations that alter water quality. Agencies frequently mitigate these low levels through liquid oxygen injection. Since this costly intervention requires ... read more 

CTRNet: a lightweight and efficient deep learning model for field maize whorl identification.

Scientific reports
Due to the extremely small target size of maize whorls at the whorl stage, frequent leaf occlusion, and the presence of complex backgrounds and dynamically varying illumination in field environments, accurate detection remains highly challenging. To ... read more