Artificial Intelligence Medical Compendium

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

Showing 53,291 to 53,300 of 225,548 articles

Machine learning-assisted optimization of a terahertz photonic metamaterial absorber for blood cancer detection.

PloS one
Blood cancer originates in the bone marrow and disrupts the body's normal hematopoietic processes. The rapid progression of this disease highlights the need for accurate and sensitive detection to improve treatment outcomes. Here, we present a novel,... read more 

FKSUDDAPre: A drug-disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis.

PLoS computational biology
In drug discovery and therapeutic research, the prediction of drug-disease associations (DDAs) holds significant scientific and clinical value. Drug molecules exert their effects by precisely identifying disease-related biological targets, systematic... read more 

Determinants of culinary Students' Entrepreneurial Intentions: The role of social media use within dual-theory frameworks.

PloS one
China's national "mass entrepreneurship and innovation" strategy has sparked growing attention toward cultivating entrepreneurial competencies among university students. As a vital resource and interactive platform, social media profoundly shapes the... read more 

The role of artificial intelligence in improving patient communication and shared decision-making in urology: A systematic review.

Scottish medical journal
BackgroundEffective communication and shared decision-making are essential for optimising urological care, making informed decisions, and improving patient outcomes. The integration of artificial intelligence (AI) in urology has the potential to act ... read more 

Variant calling in genomics: A comparative performance analysis and decision guide.

PloS one
The accurate detection of genetic variants is critical for advancing genomics research and precision medicine. However, this task remains challenging due to pervasive sequencing errors and complex genomic regions. The choice of variant calling softwa... read more 

Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools.

PloS one
BACKGROUND: Post-operative outcomes of cardiovascular surgery vary greatly among patients for a variety of reasons. While the specific reasons are often multifactorial and complex, certain machine learning methods are promising ways to both estimate ... read more 

Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods.

PloS one
Energy related uncertainty has significant influence on crude oil market. To explore the influence, this paper investigates the predictive ability of the Energy-Related Uncertainty Index (EUI), over and above standard macroeconomic predictors, in for... read more 

A comparative analysis of video vision transformers on word-level sign language datasets.

PloS one
Sign Language Recognition (SLR) involves the automatic identification and classification of sign gestures from images or video, converting them into text or speech to improve accessibility for the hard-of-hearing community. In Bangladesh, Bangla Sign... read more 

Predictive free energy simulations through hierarchical distillation of quantum Hamiltonians.

Proceedings of the National Academy of Sciences of the United States of America
Obtaining the free energies of condensed phase chemical reactions remains computationally prohibitive for high-level quantum mechanical methods. We introduce a hierarchical machine learning framework that bridges this gap by distilling knowledge from... read more 

Biological data governance in an age of AI.

Science (New York, N.Y.)
Tailored access controls on new viral data would reduce misuse risks. read more