Artificial Intelligence Medical Compendium

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

Showing 50,731 to 50,740 of 225,062 articles

Capturing silent oxidative stress in early Alzheimer's disease: prediction of CSF biomarkers from sleep qEEG data.

GeroScience
Oxidative stress is a central pathogenic process in the earliest stages of Alzheimer's disease (AD), promoting non-enzymatic protein modifications that accumulate in cerebrospinal fluid (CSF) before measurable neurodegeneration. These alterations imp... read more 

Explainable ML for ACS culprit plaques: a multidimensional CCTA model highlighting hemodynamic increment.

The international journal of cardiovascular imaging
To develop an interpretable, multi-parameter machine learning (ML) model that integrates plaque morphology, composition, perivascular inflammation, and comprehensive hemodynamic descriptors to identify future acute coronary syndrome (ACS) culprit pla... read more 

ContraIndicator: A Natural Language Processing-Based Approach to Potential Drug-Drug Interaction Detection in Pediatric Intensive Care.

Clinical drug investigation
BACKGROUND AND OBJECTIVES: The intricate nature of pediatric patients' physiology and the frequent administration of multiple medications in pediatric intensive care units expose hospitalized patients to potential drug-drug interactions. Therefore, t... read more 

Neural Vision Restoration in Ophthalmology.

Annals of biomedical engineering
Neural vision restoration is a rapidly advancing discipline at the intersection of neuroscience, bioengineering, and ophthalmology. This review synthesizes emerging strategies to restore visual perception through retinal prostheses, optic nerve and t... read more 

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

La Radiologia medica
Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. Despite some limitations, it has potential in determining the overall inflammatory burden, tracking ... read more 

State-of-the-Art Analytical Technologies for Detection of Food Adulteration: Advances, Validation, and Future Horizons.

Critical reviews in analytical chemistry
Food adulteration poses an escalating global crisis, threatening public health, economic stability, and consumer trust while costing the food industry billions annually and compromising international trade relationships. We systematically evaluate cu... read more 

Automatic Detection of Subcellular-Scale Metabolic Dynamics via Spontaneous-Stimulated Raman Spatial Colocalization.

Analytical chemistry
Cellular structural heterogeneity and low intrinsic contrast in label-free bright-field imaging hinder accurate localization of subcellular structures in nearly transparent specimens, thereby compromising both the precision and reproducibility of spo... read more 

Radiomics analysis of MRI improves prediction of lymph node metastasis in laryngeal squamous cell carcinoma.

Future oncology (London, England)
OBJECTIVE: To explore the role of multi-sequence magnetic resonance imaging (MRI) images in preoperative prediction of lymph node metastasis in laryngeal squamous cell carcinoma (LSCC). METHODS: Patients with LSCC undergoing open surgery and lymph no... read more 

Patients Are Generally Supportive of Artificial Intelligence in Breast Imaging: A Multisite Survey of Breast Imaging Patients.

Journal of breast imaging
OBJECTIVE: To understand the perspective of patients undergoing breast imaging on the use of artificial intelligence (AI) in breast cancer screening. METHODS: A 36-item survey was administered to breast imaging patients at 6 academic and 2 private pr... read more