Artificial Intelligence Medical Compendium

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

Showing 31,041 to 31,050 of 220,293 articles

Slope displacement forecasting with limited field data using time series model.

Scientific reports
Slope displacement forecasting is crucial for geotechnical early warning. Conventional deterministic models cannot adapt easily to real-time monitoring, and large deep-learning models demand extensive data and compute. We leverage IBM's Tiny Time Mix... read more 

DeepTRACE brings flexible machine learning to single-molecule track analysis.

Communications biology
Single-molecule imaging was developed to resolve behaviours obscured by ensemble averaging, but early tracking experiments typically captured only brief temporal windows, restricting analysis to individual states rather than the progression between t... read more 

Development and validation of a multimodal AI-agent system for prognosis analysis of bladder urothelial carcinoma.

NPJ precision oncology
Precise survival risk stratification for bladder urothelial carcinoma (BUC) remains a clinical challenge. We developed and validated a multimodal AI agent that integrates textual, radiographic, and pathological data from 1185 patients across four med... read more 

Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning.

Npj imaging
The FUCCI sensor fluorescently labels cell cycle phases, which is essential to assess normal and abnormal cell-cycle progression in physiological and pathological conditions of developing organisms. However, accurate cell-cycle decoding is challengin... read more 

Optimization of speech emotion recognition using hybrid dataset integration and deep learning-based feature fusion with a novel balanced focal entropy loss.

Scientific reports
Speech Emotion Recognition is essential for human-computer interaction, as it enables the automated system to recognize the emotion of the individual from the speech. In order to improve the quantity, diversity, and quality of the speech dataset that... read more 

Towards efficient context-aware classification with compact VLM architectures: indoor fire case study.

Scientific reports
Accurate and reliable fire detection in indoor environments is critical for ensuring timely emergency responses and enhancing safety in both residential and industrial settings. While recent advances in deep learning have significantly improved fire ... read more