Artificial Intelligence Medical Compendium

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

Showing 53,771 to 53,780 of 225,930 articles

Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence.

PLOS digital health Feb 5, 2026
BACKGROUND: Vedolizumab, a monoclonal antibody targeting the α4β7 integrin, offers gut-selective immunosuppression and represents a cornerstone biologic therapy for moderate-to-severe ulcerative colitis (UC). While pivotal randomized controlled trial... read more 

A methodological comparative analysis of monetary policy and trade openness on economic growth in West Africa: Does language play a role?

PloS one Feb 5, 2026
The study examines the effect of monetary policy and trade openness on economic growth in the ECOWAS countries. Using panel regression analysis and the Random Forest algorithm from the machine learning technique, the study reveals the existence of a ... read more 

Research on the performance degradation and failure mechanism of exhaust Systems for explosion proof diesel engines in different mining applications.

PloS one Feb 5, 2026
Mine explosion-proof diesel engines are critical for underground coal mining, yet the long-term performance degradation of their exhaust systems poses substantial risks to operational safety and environmental compliance-a gap not addressed in short-t... read more 

Model predictive control based MLP-ANN to enhance tracking response with energy saving of EV drive cycles using five-phase IPMSM.

PloS one Feb 5, 2026
Speed tracking control (STC) and energy saving of an electric vehicle (EV) play a crucial role in the stability and effectiveness of the operating performance of an EV drive system (EVDS). This paper proposes a novel STC and energy saving methodology... read more 

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

PloS one Feb 5, 2026
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 Feb 5, 2026
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 Feb 5, 2026
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 Feb 5, 2026
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 Feb 5, 2026
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 Feb 5, 2026
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 
Popular Topics
Recent Journals