Artificial Intelligence Medical Compendium

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

Showing 73,211 to 73,220 of 235,503 articles

Deep learning-driven hyperspectral imaging for real-time monitoring and growth modeling of psychrophilic spoilage bacteria in chilled beef.

International journal of food microbiology Aug 2, 2025
Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychrophilic bacteria, resulting in quality deterioration and corruption, which leads to food safety problems. In this study, the growth of Pseudomonas and ... read more 
Neural Networks, Computer Algorithms Animals Deep Learning China Cattle Bacteria Food Contamination Colony Count, Microbial Food Microbiology Pseudomonas Hyperspectral Imaging Lactobacillus Red Meat

Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B production in vitro.

International journal of food microbiology Aug 2, 2025
Aspergillus niger is an important species in the fungal community of many foods and is one of the most significant microorganisms used in biotechnology. Some A. niger strains are capable of producing fumonisin B (FB) under certain conditions, but lit... read more 
Acrolein Origanum Machine Learning Zea mays Oils, Volatile Food Contamination Fumonisins Cinnamomum zeylanicum Food Microbiology Aspergillus niger Food Packaging Antifungal Agents Polyvinyls

Perception and sentiment analysis of palliative care in Chinese social media: Qualitative studies based on machine learning.

Social science & medicine (1982) Aug 1, 2025
BACKGROUND: Traditional Chinese culture makes death a sensitive and taboo topic, leading patients and family members to refuse to choose palliative care. read more 
Male Middle Aged China Qualitative Research Machine Learning Female Adult Emotions Social Media Palliative Care Humans Perception

Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning.

European journal of radiology Aug 1, 2025
OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage invasion by laryngeal and hypopharyngeal cancers observed on computed tomography (CT) images and evaluate the model's diagnostic performance. read more 
Deep Learning Neoplasm Invasiveness Radiographic Image Interpretation, Computer-Assisted Laryngeal Neoplasms Hypopharyngeal Neoplasms Thyroid Cartilage Adult Sensitivity and Specificity Male Middle Aged Female Aged Aged, 80 and over Humans Retrospective Studies Tomography, X-Ray Computed

Improving image quality and diagnostic performance using deep learning image reconstruction in 100-kVp CT enterography for patients with wide-range body mass index.

European journal of radiology Aug 1, 2025
OBJECTIVE: To assess the clinical value of the deep learning image reconstruction (DLIR) algorithm compared with conventional adaptive statistical iterative reconstruction-Veo (ASiR-V) in image quality, diagnostic confidence, and intestinal lesion de... read more 
Aged Aged, 80 and over Humans Adult Algorithms Tomography, X-Ray Computed Retrospective Studies Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Female Quality Improvement Reproducibility of Results Signal-To-Noise Ratio Intestinal Diseases Male Middle Aged Deep Learning Body Mass Index

Deep learning models link local cellular features with whole-animal growth dynamics in zebrafish.

Life science alliance Aug 1, 2025
Animal growth is driven by the collective actions of cells, which are reciprocally influenced in real-time by the animal's overall growth state. Whereas cell behavior and animal growth state are expected to be tightly coupled, it is not yet determine... read more 
Machine Learning Animals Deep Learning Larva Skin Zebrafish Body Size

Comparison of clinical, radiomics, deep learning, and fusion models for predicting early recurrence in locally advanced rectal cancer based on multiparametric MRI: a multicenter study.

European journal of radiology Aug 1, 2025
OBJECTIVE: Predicting early recurrence (ER) in locally advanced rectal cancer (LARC) is critical for clinical decision-making. This study aimed at comparing clinical, deep learning (DL), radiomics, and two fusion models for ER prediction based on mul... read more 
Humans Prognosis Retrospective Studies Magnetic Resonance Imaging Neoplasm Recurrence, Local Rectal Neoplasms Image Interpretation, Computer-Assisted Radiomics Multiparametric Magnetic Resonance Imaging Male Middle Aged Deep Learning Female Aged Adult

Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024).

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND: Coronary artery disease (CAD) is the most common cardiovascular disease, exacting high morbidity and mortality worldwide. CAD is detected on coronary artery imaging; coronary artery segmentation (CAS) of the images is essential for corona... read more 
Humans Deep Learning Neural Networks, Computer Coronary Artery Disease Algorithms Coronary Vessels

Deep-learning based automated pancreas segmentation on CT scans of chronic pancreatitis patients.

European journal of radiology Aug 1, 2025
OBJECTIVES: This study aimed to develop an artificial intelligence (AI)-based segmentation model for accurate delineation of the complex pancreas in patients with chronic pancreatitis (CP) using computer tomography (CT) scans obtained during routine ... read more 
Reproducibility of Results Aged Adult Male Retrospective Studies Tomography, X-Ray Computed Female Pancreatitis, Chronic Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Pancreas Humans

Digital twins in radiology: A systematic review of applications, challenges, and future perspectives.

European journal of radiology Aug 1, 2025
BACKGROUND: Digital twins (DTs) represent a transformative advancement in radiology, integrating multimodal imaging, artificial intelligence (AI), and computational modeling to create dynamic, patient-specific virtual representations. read more 
Humans Artificial Intelligence Forecasting Radiology
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