Artificial Intelligence Medical Compendium

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

Showing 71,701 to 71,710 of 234,892 articles

Artificial intelligence in ECMO management.

Intensive & critical care nursing
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Fusarium-responsive materials: A next-generation strategy for sensing, actuation, and sustainable crop protection.

Talanta
Fusarium spp. are among the most destructive pathogens in global agriculture, posing serious threats to food security, plant health, and sustainability. Traditional detection and control methods often suffer from low specificity, delayed response, an... read more 

Artificial Intelligence-Based Algorithms Improve Care of Patients with AAA.

Annals of vascular surgery
BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial intelligence (AI)-based algorithms can automatically detect the presence of AAA on imaging and radio... read more 

Advancing biomaterial research with artificial intelligence.

Biomaterials advances
Biomaterials play a crucial role in the healthcare sector, particularly in applications involving implantation into the human body, where preventing adverse effects is of paramount importance. Artificial intelligence (AI) has become an essential tool... read more 

Advances in the application of porous organic framework materials for adsorption and detection of mycotoxins and marine biotoxins.

Talanta
The issue of food safety is an important cornerstone for safeguarding human health and life. Food safety problems caused by biotoxins (animal toxins, plant toxins and mycotoxins) pose a serious threat to human health. Therefore, it is crucial to deve... read more 

Autonomous spiking neural P systems with coupled neurons.

Neural networks : the official journal of the International Neural Network Society
Abstracted from the way spiking neurons transmit and process information, spiking neural P systems (SNP systems) are becoming increasingly popular as the third generation of neural network models. To enhance the applicability and expandability of SNP... read more 

A novel machine learning-based method to quantify the effect of transcranial direct current stimulation on opioid users.

The International journal of neuroscience
BACKGROUND: Opioid addiction is a major public health concern, associated with numerous health and social problems. Conventional diagnostic methods for addiction have notable limitations, highlighting the need for alternative approaches. METHODS: Thi... read more 

Enhancing the identification of malonylation sites using AlphaFold2 and ensemble learning.

Molecular diversity
Malonylation modification of proteins is closely related to many diseases, such as diabetes and cancer. Therefore, accurate identification of malonylation modification sites is crucial for elucidating the molecular mechanisms underlying these disease... read more 

Feasibility and Validity of a Standardized Protocol for Measuring Thoracic Aortic Aneurysm Morphology.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
INTRODUCTION: Thoracic endovascular aortic repair (TEVAR) is the predominant treatment for thoracic aortic aneurysms (TAA) due to its superior perioperative outcomes. International guidelines recommend assessing TAA characteristics via computed tomog... read more