Artificial Intelligence Medical Compendium

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

Showing 30,661 to 30,670 of 220,177 articles

Physicochemical quality detection of wheat during hot air drying based on hyperspectral imaging combined with machine learning.

Food research international (Ottawa, Ont.)
Hot air drying is widely used for wheat due to simple operation, but research on the intelligent regulation of the drying system based on product quality is limited. This study explored the application of hyperspectral imaging (HSI) for non-contact d... read more 

Dietary geroprotective peptides: structural determinants, AI-driven discovery, and synthetic biology production for healthy ageing.

Food research international (Ottawa, Ont.)
Ageing is characterised by progressive physiological decline, driving global interest in interventions that target its fundamental mechanisms. Dietary bioactive peptides are emerging as a promising class of natural geroprotectors, yet a consolidated ... read more 

Assessment of high- and low-risk histopathologic subtypes of basal cell carcinoma using artificial intelligence and dermatologist evaluation.

JAAD international
BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, and accurate histopathologic risk stratification is essential for treatment selection. Convolutional neural networks (CNNs) demonstrate promise in image analysis, yet few studies ... read more 

Prospective Data Curation Enables High-Performance Artificial Intelligence for Diabetic Retinopathy Screening in a Resource-Limited Setting.

Ophthalmology science
PURPOSE: To determine whether a high-quality, prospectively curated dataset can, by itself, enable the development of robust and clinically effective artificial intelligence as a medical device (AIaMD) models for diabetic retinopathy (DR) screening, ... read more 

Fluid Volumes Longitudinal Modeling to Predict Atrophy and Fibrosis in Neovascular Age-Related Macular Degeneration.

Ophthalmology science
PURPOSE: To evaluate the impact of retinal fluid volumes on the development of atrophy and fibrosis in neovascular age-related macular degeneration (nAMD) during routine care. DESIGN: Retrospective longitudinal study. PARTICIPANTS: Treatment-naïve ey... read more 

Assessing traits in bread using image analysis and machine learning.

Food research international (Ottawa, Ont.)
Food quality depends on both consumer expectations and industry standards. Sensory assessment is one dimension of food quality. The current method of food industry to assess quality of food is product testing through trained sensory panels or consume... read more 

Unveiling varietal specificity in non-destructive grape quality monitoring: Explainable AI and feature selection for sugar and organic acid prediction using NIR spectroscopy.

Food research international (Ottawa, Ont.)
Sugar and organic acid content are crucial factors determining grape quality. Non-destructive testing of these components aids in accurately determining optimal harvest timing and wine-making potential. However, few studies have addressed how varieta... read more 

Improving detection of Listeria monocytogenes in Queso fresco using generative adversarial network (GAN) augmented NIR spectral analysis.

Food research international (Ottawa, Ont.)
Rapid, non-destructive detection of Listeria monocytogenes (LM) in fresh cheeses is necessary for ensuring food safety, especially in high-risk products like Queso fresco (QF). In this study, NIR spectroscopy was combined with machine learning (Rando... read more 

Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR).

Forensic science international
Postmortem imaging has become an essential modality for death investigation, with computed tomography (PMCT) being widely adopted as a rapid and objective screening tool. However, the application of postmortem magnetic resonance imaging (PMMRI) remai... read more