Artificial Intelligence Medical Compendium

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

Showing 61,731 to 61,740 of 229,091 articles

Integrating Artificial Intelligence Into Exposure Therapy: A One Year Follow-Up Case Report of Emetophobia With Comorbid Panic Disorder.

Clinical case reports
Emetophobia is a specific phobia characterized by an intense fear of vomiting, often accompanied by panic attacks, hypervigilance to bodily sensations, and avoidance behaviors. This case study describes the Cognitive Behavioral Therapy (CBT)-based tr... read more 

A Machine Learning-Based Dynamic SST Index for Long-Lead Malaria Prediction in the Peruvian Amazon.

GeoHealth
Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alt... read more 

Personalized Learning With Artificial Intelligence in Dental Education: An Integrative Review.

International journal of dentistry
BACKGROUND: Dental education is at the pinnacle of innovation and evolution. Advancements in artificial intelligence (AI) have reinforced personalized dental education to learners' preferences and needs to emerge as a game changer. Conventional denta... read more 

Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins.

NAR genomics and bioinformatics
We have evaluated the prediction accuracy of three different tools, deep-learning-based AlphaFold2, AlphaFold3, and large language model-based ESMFold, utilizing the experimentally derived structures deposited in the Protein Data Bank between 2022 an... read more 

Integrative Bioinformatics and Machine Learning Identify Novel Diagnostic Biomarkers and Molecular Mechanisms in Sjögren's Syndrome.

International journal of genomics
BACKGROUND: Sjögren's syndrome (SS) is a chronic autoimmune disorder characterized by significant diagnostic challenges due to nonspecific symptoms and a lack of reliable biomarkers, often resulting in delayed diagnosis and suboptimal patient managem... read more 

Network reorganisation reveals somato-motor transition from segregation to integration during tonic pain.

Pain
The sustained nature of tonic pain makes it a useful experimental analogue for studying the prolonged neural processing involved in chronic pain. However, research is yet to identify its consistent and generalisable biomarkers. Here, we analysed elec... read more 

Intelligent identification of osteoporosis on hip X-rays using vision transformer.

Bone reports
OBJECTIVE: This study aimed to develop and evaluate a deep learning model based on the Vision Transformer (ViT) architecture for the automatic classification of hip X-ray images into three categories: normal bone mass, osteopenia, and osteoporosis. T... read more 

A comprehensive soil pollution monitoring system based on convolutional recursive sequence network and terahertz spectroscopy.

Analytica chimica acta
BACKGROUND: Accurate analysis of the total amount of heavy metals and their distribution patterns in soil can aid in determining the extent of soil pollution and iake appropriate remediation measures.Traditional detection methods are inefficient, and... read more 

Survey data on students' perceptions, knowledge, and use of learning analytics (LA) and generative artificial intelligence (GenAI) for the personalization of learning.

Data in brief
This data article describes the dataset from the project ``Teacher Mediation in the Integration of Learning Analytics and Artificial Intelligence in Compulsory Secondary Education: Evidence, Strategies, and Practices for the Personalization of Educat... read more