Artificial Intelligence Medical Compendium

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

Showing 22,291 to 22,300 of 216,627 articles

Machine learning in bleeding risk assessment for low-molecular-weight heparin or fondaparinux: a predictive model study.

Scientific reports
BACKGROUD:  No universally accepted model exists for predicting bleeding risk in patients receiving low-molecular-weight heparin or fondaparinux. OBJECTIVE:  This study leveraged seven machine learning algorithms to build a short-term bleeding risk p... read more 

Comparative machine learning analysis of wear characteristics in industrial waste-filled epoxy-jute composites.

Scientific reports
This study focuses on the fabrication and analysis of hybrid epoxy based composites using jute fiber (JF) and Linz-Donawitz (LD) sludge as reinforcement materials. The composites were fabricated through a hand-lay-up technique, with LD sludge concent... read more 

Influence of shallow loess crack patterns on meso-pore morphology and distribution.

Scientific reports
Frequent shallow loess disasters pose severe threats to line engineering and public safety. Millimeter-scale cracks serve as key controlling factors in the initial stage of shallow loess disaster development. Such cracks can alter the morphology and ... read more 

Domain knowledge embedded anti-disturbance autonomous navigation for marine vehicles.

Communications engineering
The complex ocean disturbances in ocean engineering have long constrained the precise autonomous navigation of intelligent marine vehicles, such as surface vessels and underwater vehicles. Nevertheless, the unpredictable wind-wave-current coupling ef... read more 

Machine learning-based forecasting of rainfall and water demand for urban water planning: the case of Ekurhuleni, South Africa.

Scientific reports
This study develops and evaluates a data-leak-safe, monthly forecasting framework for the City of Ekurhuleni, South Africa, covering rainfall and municipal water demand. Here "leak-safe" means that all predictors are built from information that would... read more 

Molecular skeleton programming of premediators in sulfur electrochemistry.

Nature
Molecular mediators have demonstrated broad applicability in electrolyte chemistry of lithium-sulfur batteries, transforming sulfur conversion from traditional multiphase reactions to highly reactive pathways1-6. Despite tremendous efforts to elucida... read more 

Non-invasive profiling of the tumour microenvironment with spatial ecotypes.

Nature
Multicellular programs in the tumour microenvironment (TME) drive cancer pathogenesis and response to therapy but remain challenging to identify and profile clinically1-3. Here, we present a machine-learning framework for multi-analyte profiling of s... read more 

A metaheuristic feature selection model using bat optimization for malicious URL attack detection.

Scientific reports
The malicious URLs have been a constant threat to cybersecurity because hackers are constantly creating phishing, malware, spam, and defacement links that resemble authentic Web layouts and bypass static security measures. Despite very promising resu... read more 

Towards explainable language reasoning via multi-modal knowledge graphs.

Scientific reports
The increasing complexity of natural language reasoning in artificial intelligence necessitates a shift from opaque, black-box processing to transparent, interpretable decision-making. While large language models (LLMs) demonstrate remarkable generat... read more 

Impact of artificial intelligence on cardiovascular workflow, engagement, and outcomes: a systematic review.

NPJ digital medicine
Artificial intelligence (AI) is progressively utilized in cardiology; nonetheless, the overarching advantages across various care domains remain ambiguous. We conducted a search of PubMed, Embase, CINAHL, and trial registries for randomized controlle... read more