Artificial Intelligence Medical Compendium

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

Showing 45,691 to 45,700 of 224,055 articles

Tomographic Foundation Model-FORCE: Flow-Oriented Reconstruction Conditioning Engine.

IEEE transactions on medical imaging
Computed tomography (CT) is a major medical imaging modality. Clinical CT scenarios, such as low-dose screening, sparse-view scanning, and metal implants, often lead to severe noise and artifacts in reconstructed images, requiring improved reconstruc... read more 

Comparing Logistic Regression and Artificial Neural Network Models for Analyzing Medicare Utilization and Costs Among Older Adults.

Medical care
BACKGROUND: Artificial neural networks (ANNs) are increasingly applied in health care outcome prediction, yet their relative benefits compared with traditional methods in health services research remain unclear. OBJECTIVE: To examine health care util... read more 

Developing a Metabolic-Associated Prognostic Index for Risk Stratification and Therapeutic Guidance in Stage I Lung Adenocarcinoma via Multiomics Analysis.

JCO precision oncology
PURPOSE: Early-stage lung adenocarcinoma (LUAD) exhibits substantial clinical heterogeneity that is not fully explained by TNM staging, highlighting the need for biology-driven prognostic tools. Although metabolic reprogramming is an established canc... read more 

Machine Learning-Driven Risk Stratification and Adjuvant Treatment Guidance in Oral Cavity Cancer.

JCO precision oncology
PURPOSE: To develop and validate machine learning (ML) models for postoperative risk stratification in oral cavity squamous cell carcinoma (OCSCC) and to examine whether ML-derived risk groups modify the association between adjuvant therapy and overa... read more 

Technology Roadmap of Bioinspired Computing Hardware.

ACS nano
The rapid growth of artificial intelligence (AI) is increasingly constrained by fundamental hardware bottlenecks in computation throughput and energy efficiency. Bioinspired computing (BIC) offers a promising alternative by emulating the intrinsic ad... read more 

Networked collective dynamics in animal ecology and cell biology.

Physics of life reviews
Collective behavior, emerging from interactions among individuals, is a ubiquitous phenomenon observed across a wide range of biological systems-from cellular dynamics to animal ecology. Network science offers powerful tools for understanding the str... read more 

Three-year risk prediction of aortic stenosis using routine medical records: derivation and validation in 919 954 individuals from two cohorts.

European heart journal. Digital health
AIMS: All-cause mortality ranges between 33% and 42% for individuals with untreated moderate to severe aortic stenosis (AS). Transcatheter aortic valve replacement makes this a treatable condition, if identified early. Machine learning-based tools sh... read more 

High-order correlation and consistency-aware multi-view clustering via anchor graph learning.

Neural networks : the official journal of the International Neural Network Society
Multi-view clustering has become an effective tool for integrating complementary information from multiple data sources. However, traditional clustering methods often struggle with computational efficiency, as well as capturing high-order correlation... read more 

Dual generative adversarial graph networks: Unsupervised and semi-supervised learning with spherical graph embeddings.

Neural networks : the official journal of the International Neural Network Society
Graph-structured data has emerged as a crucial tool for representing complex systems in various domains. The analysis of such data entails addressing two fundamental problems: attributed graph clustering and semi-supervised node classification. This ... read more 

Graph neural network-based prediction and interpretation of Daphnia toxicity using distinct scale molecular representations.

Water research
The lethal concentration (LC50) of Daphnia is a significant toxicity index for water quality assessment and chemical management; however, obtaining LC50 values for all substances poses difficulties in terms of cost and time. This study developed a de... read more