Artificial Intelligence Medical Compendium

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

Showing 44,601 to 44,610 of 224,055 articles

Clinical application progress and prospects of non-invasive preimplantation genetic testing (niPGT): A review.

Clinica chimica acta; international journal of clinical chemistry
Preimplantation genetic testing (PGT) is a critical tool in reproductive medicine for selecting genetically healthy embryos, thereby reducing the risk of congenital disabilities. However, conventional PGT relies on invasive embryo biopsy, which carri... read more 

Artificial intelligence algorithm optimization and application in patient-based real-time quality control (PBRTQC).

Clinica chimica acta; international journal of clinical chemistry
Patient-based real-time quality control (PBRTQC) serves as a vital supplement to quality management in clinical laboratories. Its core principle is to monitor the testing process in real time and continuously through patient test data. As artificial ... read more 

Association of Artificial Intelligence Derived Cardiothoracic Ratio Assessment on Non-Cardiac Chest CT with Heart Failure and All-Cause Mortality: A Retrospective Single Center Study.

The American journal of the medical sciences
BACKGROUND: The cardiothoracic ratio (CTR) is estimated by dividing cardiac width by thoracic width. The Area Deprivation Index (ADI) is a metric to quantify socioeconomic conditions. This study investigates the use of artificial intelligence (AI) to... read more 

Integrating large language models into Peer-to-Peer energy management for multi-tenant buildings: A guardrail approach to ensuring resilience.

Neural networks : the official journal of the International Neural Network Society
While the integration of Large Language Models (LLMs) into Home Energy Management Systems (HEMS) promises intuitive interfaces, their inherent unreliability poses a significant risk to the stability of Peer-to-Peer (P2P) energy markets. This paper pr... read more 

Bridging graph structure and knowledge-guided editing for interpretable temporal knowledge graph reasoning.

Neural networks : the official journal of the International Neural Network Society
Temporal knowledge graph reasoning (TKGR) aims to predict future events by inferring missing entities with dynamic knowledge structures. Existing LLM-based reasoning methods prioritize contextual over structural relations, struggling to extract relev... read more 

RIFoL: A robust image forgery localization network for noisy images.

Neural networks : the official journal of the International Neural Network Society
The introduction of noise makes image forgery localization challenging. People can easily adopt additive Gaussian white noise and other types of noise to attack forged images. The poor robustness against noisy images has become a major problem in the... read more