Artificial Intelligence Medical Compendium

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

Showing 55,541 to 55,550 of 226,731 articles

Fuzzy C-means clustering based vertical container stacking in container terminals.

Scientific reports
This study proposes a fuzzy clustering-based vertical stacking strategy (FVSS) to reduce weight variance and enhance operational efficiency in container terminal operations. To address inefficiencies from reshuffling, defined as unnecessary container... read more 

Advancements in psoriasis classification using custom transfer learning algorithms.

Scientific reports
Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The symptoms usually occur on the chest, elbows, and the scalp. World Health Organization (WHO) reports that about 125 million individuals in the world, that i... read more 

Explainable multi-modal approach for uncovering key predictors of stroke-risk from ECG, EMG, blood pressure, and respiratory signals.

Scientific reports
Accurate and timely stroke-risk prediction is necessary to help patients at risk take guided measures, as stroke remains a leading cause of death and long-term disability worldwide. While there are several developed stroke-risk prediction models usin... read more 

The genetic foundations of convergent traits.

Nature reviews. Genetics
Convergent phenotypic evolution, the independent acquisition of similar or nearly identical traits in multiple species, is widespread throughout the tree of life. These cases of repeated evolution offer an opportunity to investigate shared genetic ch... read more 

Performance Evaluation of a Commercial Deep Learning Software for Detecting Intracranial Hemorrhage in a Pediatric Population.

Journal of imaging informatics in medicine
This study evaluates a commercially available AI tool (Aidoc) for intracranial hemorrhage (ICH) detection-originally trained on adults-in pediatric patients, addressing the critical need for timely diagnosis and current research gaps in pediatric AI ... read more 

Systematic Review: Agentic AI in Neuroradiology: Technical Promise with Limited Clinical Evidence.

Journal of imaging informatics in medicine
Agentic artificial intelligence systems featuring iterative reasoning, autonomous tool use, or multi-agent collaboration have been proposed as solutions to the limitations of large language models (LLMs) in neuroradiology. However, the extent of thei... read more 

Development and validation of a robust cuproptosis related signature for primary glioma via machine learning aided by loop training and validation.

Discover oncology
BACKGROUND: Glioma is the most common malignant tumors in central nervous system with high mortality. Accurately predicting prognosis for patients with glioma still remains a challenge. Accumulated studies have found that cuproptosis-related genes em... read more 

Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches.

Behavioral sciences & the law
As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains - which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burges... read more