Artificial Intelligence Medical Compendium

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

Showing 58,871 to 58,880 of 227,876 articles

High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.

Communications biology
Understanding the behavioral and morphological dynamics of moving model organisms like the zebrafish larvae requires accurate, high-throughput 3D analysis. However, traditional single-view 2D video tracking fails to capture the full scope of natural ... read more 

Raman Spectroscopy of Reduced Graphene Oxide: A Review Highlighting Defect-Induced Bands and a Glimpse into Machine Learning Approaches.

Critical reviews in analytical chemistry
Raman spectroscopy is a powerful tool for probing the structural and electronic properties of graphene-based materials, however, a focused review on reduced graphene oxide (RGO) is limited This review critically examines the Raman signatures of RGO, ... read more 

Recognizing the feature of knee hyperextension in stroke patients based on transformer-long-short-term memory model.

Biomedical engineering online
BACKGROUND: Recognizing knee hyperextension during gait in stroke patients is clinically challenging and involves cumbersome, costly procedures. This study proposes a simplified strategy based on a transformer-long-short-term memory (transformer-LSTM... read more 

Sorafenib nanomedicine in HCC: nano-bio interactions and combination therapies.

Journal of nanobiotechnology
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with systemic therapies offering only limited benefit. Sorafenib, the first-line multi-kinase inhibitor, is constrained by poor pharmacokinetics, dose-limit... read more 

Prediction of renal cell carcinoma: Development and validation of machine learning model.

Medicine
Renal cell carcinoma (RCC) is the leading cause of urinary system morbidity and mortality. Early identification is crucial for improving RCC patient outcomes. This study aims to construct and validate an RCC prediction model for at-risk individuals u... read more