AIMC Topic: Quality Control

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AI-Driven quality assurance in mammography: Enhancing quality control efficiency through automated phantom image evaluation in South Korea.

PloS one
PURPOSE: To develop and validate a deep learning-based model for automated evaluation of mammography phantom images, with the goal of improving inter-radiologist agreement and enhancing the efficiency of quality control within South Korea's national ...

Phenolic Profile as a Powerful Machine Learning Tool for Identification, Traceability, and Quality Control of Olive Cultivars.

Journal of agricultural and food chemistry
This study investigates the phenolic and fatty acid profiles of olives from four cultivars (Arbequina, Arbosana, Frantene, and Koroneiki), widely grown in the Mediterranean region and collected at different ripening stages in Italy. The aim was to a...

Artificial intelligence-assisted quality control circles led by clinical pharmacists to improve the rational use of parenteral proton pump inhibitors among hospitalised patients.

Scientific reports
Proton pump inhibitors (PPIs) are a class of drugs that inhibit gastric acid secretion and are commonly overused in clinical practice. We developed a quality control circle (QCC) assisted by artificial intelligence (AI) and led by clinical pharmacist...

PRS2Net: an efficient intelligent carrot detection model via filter pruning and attention mechanisms.

Journal of the science of food and agriculture
BACKGROUND: Carrots, rich in essential nutrients, play a crucial role in supporting human health. Current deep learning networks for carrot quality inspection are constrained by redundant parameters and high computational costs. To address these issu...

Deep learning-based multimodal fusion for quality prediction of chili paste using hyperspectral imaging and near-infrared spectroscopy.

Food chemistry
A deep learning-based intelligent multimodal system was developed to non-destructively evaluate chili paste quality by fusing color features extracted from hyperspectral images acquired by Hyperspectral Imaging (HSI), spectral features derived from H...

Quality enhancement of batter-coated oysters via low temperature vacuum frying technique and machine learning-based prediction models for shelf life and quality dynamics.

Food chemistry
As a widely consumed prepared food, the preservation of nutrient retention and sensory quality in batter fried oysters is a significant concern. Deep frying, air frying, and vacuum frying (VF) were used to prepare battered fried oysters. Guar gum (GG...

Machine learning discrimination of quality grades of base liquor integrating GC-TOF/MS and GC-IMS data analysis: Case study of strong-flavor Chinese baijiu.

Food chemistry
The flavor of base liquor is critical to the grading quality of Baijiu. This study focuses on the base liquor grades of five different strong-flavor Baijiu brands. Headspace Solid-phase Microextraction Gas Chromatography Time-of-flight Mass spectrome...

Hyperspectral-driven PSO-SVM model and optimized CNN-LSTM-Attention fusion network for qualitative and quantitative non-destructive detection of adulteration in strong-aroma Baijiu.

Food chemistry
Baijiu adulteration practices, driven by profit motives, seriously endanger consumer health and disrupt the market. This study combined hyperspectral imaging with deep learning for adulteration detection. In the classification of authentic and adulte...

Low-field NMR-based deep learning for non-destructive quality assessment of frozen model foods.

Food chemistry
Gel model foods with 90 % and 80 % water content were prepared for non-destructive quality testing of samples frozen under gradient temperature conditions. First, the drip loss and textural indices of the frozen samples were measured, and the nucleat...

Advancing Direct Tablet Compression with AI: A multi-task framework for quality control, batch acceptance, and causal analysis.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Pharmaceutical manufacturing has surged in drug development with the rise of Pharma 4.0, leveraging artificial intelligence (AI) to improve efficiency, optimize resource use, and reduce production times. Direct Tablet Compression (DTC), a key manufac...