Artificial Intelligence Medical Compendium

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

Showing 58,671 to 58,680 of 227,634 articles

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 

Multidimensional analysis and predictive modeling of cognitive decline risk in the United States using propensity score matching and machine learning.

Medicine
Cognitive decline, an early indicator of neurodegenerative disorders, presents a growing public health challenge. This study aimed to integrate causal inference and machine learning to quantify the causal impact of high-risk status on cognitive funct... read more