Artificial Intelligence Medical Compendium

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

Showing 12,101 to 12,110 of 210,314 articles

From data-rich to evidence-ready: A narrative review of generative artificial intelligence as a statistical scaffold in medical radiation sciences research.

Journal of medical imaging and radiation sciences
BACKGROUND: Medical radiation science (MRS) research faces a growing asymmetry between a small body of high-rigour, statistically robust studies and an expanding volume of lower-rigour investigations that are under-powered, methodologically fragile o... read more 

Optimizing heart failure care: A machine learning-based prediction of hospital length of stay for heart failure patients.

Heart & lung : the journal of critical care
BACKGROUND: Heart failure represents a significant global health burden, with prolonged length of stay (LoS) tied to increased mortality and costs. Accurate prediction of hospital LoS is crucial for improving resource allocation, lowering mortality a... read more 

Machine understanding.

Trends in cognitive sciences
What do artificial intelligence (AI) systems "understand"? This question arises not only in assessing a system's intelligence but also in evaluation practices to ensure the safe and responsible deployment of AI. Drawing on scholarship from philosophy... read more 

Habitat-informed MRI Radiomics and Deep Learning Fusion for Short-Term Survival Prediction in Patients with Glioblastoma: Exploratory Radiogenomic and Immune Correlates.

Academic radiology
RATIONALE AND OBJECTIVES: To develop and externally validate a preoperative multicontrast MRI stacking model integrating unsupervised habitat radiomics and deep learning to predict short-term survival (overall survival ≤ 9 months) in glioblastoma, an... read more 

Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery.

Scientific reports
Rice is a significant food that plays a vital part in delivering nutrition to the world's population. Hence, approaches for assessing rice yield have received considerable study. The amount of rice seedlings (density) is a main agronomic module. It i... read more 

Explainable machine learning identifies features and thresholds predictive of immunotherapy response.

Scientific reports
The identification of reliable predictors for immunotherapy response remains a critical challenge in precision oncology. Here, we integrated patient clinical features with DNA and RNA sequencing data derived from 229 melanoma samples. We use 138 mela... read more 

Multi-region proteomic mapping identifies FTL1 and SERPINA3K as protective factors in cardiac aging.

Cell death & disease
Aging is a well-recognized risk factor in cardiovascular diseases (CVDs), primarily due to its association with the gradual decline in cardiac function. This decline significantly influences the pathogenesis of common CVDs such as myocardial infarcti... read more 

Geospatial multi-scale GNN for urban food security in climate-stressed environments.

Scientific reports
The increasing global food insecurity driven by climate-induced natural hazards and soil degradation has made the resilience of alternative agricultural systems a critical focus in risk management. This study presents a geospatially integrated monito... read more 

Multi-scale temporal convolution attention network for state-of-charge estimation in Li-ion batteries.

Scientific reports
Accurate estimation of the State of Charge (SOC) in lithium-ion batteries is critical for the safety, reliability, and efficiency of energy storage systems and electric vehicles (EVs). The traditional model-based SOC estimation approaches have their ... read more 

A comparative analysis of large language models for providing oral cavity cancer information.

Scientific reports
This study aimed to comparatively evaluate the medical information delivery capacity and content quality of current large language models (LLMs), specifically ChatGPT (GPT-5.2), Gemini (3.1), and DeepSeek (V4), regarding oral cavity cancer (OCC) base... read more