Artificial Intelligence Medical Compendium

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

Showing 63,251 to 63,260 of 230,760 articles

LGDUnet: A dual-branch network for weakly supervised gland segmentation in H&E stained histopathological images.

Biomedical physics & engineering express
Glandular segmentation holds significant importance in the pathological analysis of hematoxylin and eosin (H&E) stained images, particularly in the diagnosis and treatment of breast and colorectal cancers. Accurate segmentation of glandular structure... read more 

Diagnostic Accuracy of the National Library of Medicine (NLM) Screener Application in Screening for Malaria Parasites Among Blood Donors at the Korle-Bu Blood Bank, Ghana: A Cross-Sectional Study.

Journal of tropical medicine
BACKGROUND AND AIMS: Malaria is a deadly disease spread through the bite of an infected female Anopheles mosquito and remains the leading cause of mortality globally. Screening donated blood for malaria parasites is essential to prevent its transmiss... read more 

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 

EEG-to-gait decoding via phase-aware representation learning.

Neural networks : the official journal of the International Neural Network Society
Accurate decoding of lower-limb motion from EEG signals is essential for advancing brain-computer interface (BCI) applications in movement intent recognition and control. This study presents NeuroDyGait, a two-stage, phase-aware EEG-to-gait decoding ... read more