Artificial Intelligence Medical Compendium

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

Showing 2,621 to 2,630 of 167,235 articles

Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

Journal of Crohn's & colitis Aug 4, 2025
OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Research Nucleus (IIRN) validated cohort to explore the utility of routine blood tests as markers predicting IBD occurrence years before diagnosis. read more 

Learning behavior aware features across spaces for improved 3D human motion prediction.

Scientific reports Aug 4, 2025
3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusive... read more 
Humans Machine Learning Algorithms Biomechanical Phenomena Imaging, Three-Dimensional Motion Movement

Synergistic Scale for AI Integration in Spiritual Leadership and Educational Management Transformation (Ssai-Slem): Development, Network Analysis, and Validation Among Jordanian Secondary School Administrators.

Journal of religion and health Aug 4, 2025
The purpose of this study was twofold: first, to develop a new 36-item SSAI-SLEM scale for measuring synergy in integrating AI into spiritual leadership and educational management transformation; and second, to examine its psychometric properties. Th... read more 

Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study.

NPJ digital medicine Aug 4, 2025
For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival... read more 

Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation.

BMC pharmacology & toxicology Aug 4, 2025
BACKGROUND: Nonspecific orbital inflammation (NSOI), also known as idiopathic orbital inflammation, comprises a heterogeneous group of immune-mediated disorders affecting orbital tissues, unified by the absence of a defined etiology. Lactotransferrin... read more 
Humans Machine Learning Biomarkers Prognosis Inflammation Databases, Genetic Mendelian Randomization Analysis Lactoferrin Orbital Pseudotumor

A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature.

Scientific reports Aug 4, 2025
This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on tradi... read more 

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BMC infectious diseases Aug 4, 2025
BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. Subtypes of AC in critically ill patients have not been investigated. read more 
Humans Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Aged Male Middle Aged Unsupervised Machine Learning Acute Disease Cholangitis

In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

Journal of imaging informatics in medicine Aug 4, 2025
The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits the development of robust deep learning (DL) models for breast tumor segmentation. In this exploratory proof-of-concept study, we assess the viability... read more 

Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI.

European radiology Aug 4, 2025
OBJECTIVES: To determine whether an AI system can identify breast cancer risk in interval breast cancer (IBC) screening mammograms. read more 

Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques.

Scientific reports Aug 4, 2025
Uniaxial Compressive Strength (UCS) is a fundamental parameter in rock engineering, governing the stability of foundations, slopes, and underground structures. Traditional UCS determination relies on laboratory tests, but these face challenges such a... read more 
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